Name,Experience Level,Expertise,Feature,Hourly Rate,Language,Experience Months,Code Review Feedback,Assigned Features,Feature Completion Time (days),Lines of Code PF,Bug Fixes,Bug Resolution Time,Bug Closure Rate,Team Communication,Peer Feedback,Meeting Deadlines
Justin Stark,Senior,Frontend,Client-side routing,90,Sass,105,Positive,13,2,796,1,1,80%,High,Positive,70%
Justin Stark,Mid-Level,Backend,Background processing/jobs,45,Node.js,40,Positive,9,5,479,3,4,60%,High,Negative,50%
Justin Stark,Mid-Level,Mobile,"Cross-platform mobile development (e.g., Flutter, React Native)",60,Ionic,42,Positive,8,9,937,9,5,40%,Low,Positive,75%
Justin Stark,Mid-Level,Frontend,Browser compatibility,75,Vue.js,60,Negative,14,10,634,4,1,45%,High,Negative,50%
Justin Stark,Mid-Level,Backend,Security and encryption,70,Ruby,57,Negative,16,3,115,5,4,50%,High,Positive,80%
Justin Stark,Senior,Frontend,JavaScript/jQuery,85,Webpack,138,Neutral,5,4,586,9,3,80%,Medium,Negative,75%
Justin Stark,Mid-Level,Backend,API development,60,Scala,38,Neutral,18,6,368,6,5,50%,High,Positive,75%
Justin Stark,Mid-Level,DevOps,Server provisioning and configuration,75,Prometheus,46,Negative,11,5,675,3,5,55%,Medium,Positive,70%
Justin Stark,Junior,Machine Learning,Computer Vision,45,Python,25,Neutral,13,7,834,7,4,35%,Low,Negative,40%
Justin Stark,Mid-Level,Machine Learning,Hyperparameter tuning,55,Keras,69,Negative,17,1,384,7,1,40%,High,Negative,50%
Justin Stark,Senior,Backend,Third-party integrations,85,C#,108,Positive,15,5,981,6,2,60%,Low,Negative,80%
Justin Stark,Mid-Level,Machine Learning,Computer Vision,60,NumPy,72,Neutral,14,4,706,4,5,55%,Medium,Positive,75%
Justin Stark,Mid-Level,Mobile,Push notifications,45,Flutter,65,Neutral,16,1,204,2,3,50%,High,Negative,40%
Justin Stark,Junior,Backend,"ORM/ODM (e.g., SQLAlchemy, Mongoose)",45,Go,19,Positive,11,4,843,5,1,45%,Medium,Positive,45%
Justin Stark,Junior,Machine Learning,Model deployment and serving,30,Keras,18,Negative,20,4,217,6,1,45%,High,Negative,50%
Justin Stark,Junior,Backend,Background processing/jobs,40,Scala,14,Positive,14,10,211,0,5,30%,Low,Positive,45%
Justin Stark,Senior,Backend,Data validation and sanitization,80,Node.js,123,Neutral,13,10,175,3,1,80%,Low,Positive,85%
Joy Rogers,Mid-Level,Backend,Scalability and performance optimization,60,C#,46,Negative,10,6,121,9,2,70%,Low,Positive,75%
Joy Rogers,Mid-Level,Backend,Third-party integrations,80,PHP,65,Negative,18,10,988,0,2,40%,Low,Negative,75%
Joy Rogers,Senior,DevOps,Load balancing and scaling,70,Docker,81,Negative,5,4,871,9,3,70%,High,Positive,60%
Joy Rogers,Mid-Level,DevOps,Security and compliance,45,ELK Stack,61,Positive,17,3,792,3,1,75%,High,Negative,75%
Joy Rogers,Junior,DevOps,"Cloud platforms (e.g., AWS, Azure, GCP)",40,Docker,1,Neutral,5,5,389,6,5,45%,Low,Negative,30%
Joy Rogers,Senior,Backend,Scalability and performance optimization,90,GraphQL,105,Positive,17,7,201,1,2,70%,Medium,Negative,85%
Joy Rogers,Mid-Level,Mobile,Mobile app security,55,Xamarin,44,Neutral,16,8,965,2,4,75%,Medium,Positive,50%
Joy Rogers,Senior,Machine Learning,Computer Vision,90,pandas,83,Negative,6,10,172,9,2,90%,Medium,Negative,95%
Joy Rogers,Junior,Mobile,"Cross-platform mobile development (e.g., Flutter, React Native)",30,Kotlin,19,Neutral,10,10,802,4,3,30%,High,Positive,45%
Joy Rogers,Mid-Level,Mobile,Push notifications,70,NativeScript,56,Neutral,16,6,346,7,4,40%,High,Negative,60%
Joy Rogers,Junior,Machine Learning,"Deep learning models (e.g., neural networks)",30,TensorFlow,6,Negative,16,9,476,8,2,40%,Low,Negative,40%
Joy Rogers,Senior,Mobile,Mobile app security,95,React Native,82,Negative,7,2,227,0,3,85%,Low,Negative,80%
Joy Rogers,Mid-Level,Mobile,Mobile app testing and debugging,80,PhoneGap,49,Positive,8,9,998,0,5,40%,Medium,Negative,75%
Joy Rogers,Senior,Mobile,Mobile app UI/UX design,80,Ionic,91,Negative,7,3,421,1,5,85%,Medium,Positive,80%
Vincent Rhodes,Mid-Level,Mobile,Push notifications,45,Kotlin,63,Neutral,11,5,576,8,4,55%,High,Negative,70%
Vincent Rhodes,Mid-Level,Backend,Caching strategies,75,PHP,63,Neutral,15,5,632,4,2,50%,Medium,Negative,80%
Vincent Rhodes,Junior,Mobile,Mobile app security,35,NativeScript,23,Positive,16,8,570,1,2,50%,Medium,Negative,45%
Vincent Rhodes,Junior,Mobile,Mobile app security,40,PhoneGap,8,Negative,16,3,400,6,1,50%,Low,Negative,45%
Vincent Rhodes,Senior,DevOps,Backup and disaster recovery,90,Terraform,128,Negative,5,6,786,4,3,80%,High,Positive,70%
Vincent Rhodes,Junior,Backend,Security and encryption,30,Python,14,Positive,15,2,820,3,5,40%,Low,Positive,30%
Vincent Rhodes,Junior,DevOps,Continuous Integration and Deployment (CI/CD),50,Docker,13,Positive,20,5,166,1,1,40%,Medium,Negative,45%
Vincent Rhodes,Senior,Backend,Authentication and authorization,90,Java,123,Negative,11,4,774,2,2,60%,Low,Positive,90%
Vincent Rhodes,Mid-Level,DevOps,Server provisioning and configuration,50,Ansible,65,Positive,20,6,960,1,2,80%,Medium,Negative,75%
Vincent Rhodes,Senior,Mobile,"Cross-platform mobile development (e.g., Flutter, React Native)",95,Swift,94,Neutral,7,10,126,4,5,75%,High,Negative,85%
Vincent Rhodes,Senior,Frontend,Browser compatibility,80,Bootstrap,78,Positive,19,8,649,1,1,60%,High,Negative,95%
Vincent Rhodes,Junior,Machine Learning,Transfer learning,30,pandas,19,Neutral,14,8,750,0,4,40%,Low,Negative,40%
Vincent Rhodes,Junior,Backend,Caching strategies,45,C#,12,Negative,19,5,655,0,2,30%,Medium,Positive,45%
Vincent Rhodes,Mid-Level,DevOps,Log aggregation and analysis,50,Prometheus,68,Negative,7,1,449,4,5,80%,Low,Positive,60%
Vincent Rhodes,Senior,Machine Learning,Model training and evaluation,85,pandas,133,Negative,19,5,942,2,4,95%,Medium,Negative,60%
Vincent Rhodes,Senior,Backend,Database design and management,70,Kotlin,113,Positive,15,10,492,1,4,85%,Low,Positive,95%
Vincent Rhodes,Mid-Level,Frontend,User interface design,60,Bootstrap,68,Positive,16,6,760,2,1,75%,Low,Positive,50%
Vincent Rhodes,Junior,DevOps,Continuous Integration and Deployment (CI/CD),40,Jenkins,6,Neutral,11,8,392,10,3,35%,Low,Negative,35%
Vincent Rhodes,Junior,Backend,"Server-side programming (e.g., Python, Node.js)",30,PHP,25,Positive,7,4,902,5,5,40%,Low,Positive,35%
Vincent Rhodes,Senior,DevOps,"Containerization (e.g., Docker)",80,Ansible,131,Negative,17,2,551,2,2,75%,Low,Negative,80%
Vincent Rhodes,Mid-Level,Machine Learning,Hyperparameter tuning,55,OpenCV,64,Neutral,17,6,697,3,1,70%,Low,Positive,75%
Vincent Rhodes,Mid-Level,Backend,Data validation and sanitization,60,Python,70,Negative,7,10,535,3,1,40%,Low,Positive,45%
Vincent Rhodes,Junior,Machine Learning,Natural Language Processing (NLP),50,NumPy,1,Positive,14,8,209,4,5,40%,High,Negative,40%
Vincent Rhodes,Mid-Level,Mobile,Mobile app UI/UX design,60,Flutter,63,Negative,15,8,809,2,4,60%,Low,Negative,45%
Vincent Rhodes,Junior,DevOps,"Orchestration (e.g., Kubernetes)",45,Terraform,13,Neutral,5,6,427,3,4,50%,Low,Negative,40%
Vincent Rhodes,Senior,DevOps,Automated testing and deployment pipelines,80,Docker,74,Negative,7,6,286,6,4,80%,High,Positive,60%
Vincent Rhodes,Senior,Frontend,Component-based architecture,70,Sass,87,Neutral,12,8,434,10,3,95%,Low,Positive,60%
Vincent Rhodes,Junior,Mobile,Mobile app deployment to app stores,35,Ionic,33,Negative,8,9,187,9,2,45%,Medium,Negative,40%
Vincent Rhodes,Senior,Frontend,"State management (e.g., Redux, Vuex)",75,React,138,Positive,15,2,227,3,5,70%,High,Positive,95%
Vincent Rhodes,Junior,Machine Learning,Data preprocessing and cleaning,50,TensorFlow,19,Positive,7,5,826,1,4,30%,High,Positive,35%
Jeffrey Phillips,Junior,DevOps,Load balancing and scaling,35,GitLab CI/CD,14,Positive,6,10,333,0,4,35%,Medium,Positive,50%
Jeffrey Phillips,Senior,Mobile,Offline data storage and synchronization,85,PhoneGap,129,Neutral,6,5,708,10,4,90%,High,Negative,60%
Jeffrey Phillips,Mid-Level,Mobile,Mobile app UI/UX design,50,React Native,46,Neutral,5,6,561,3,1,75%,Medium,Negative,60%
Jeffrey Phillips,Senior,Mobile,Mobile app UI/UX design,95,PhoneGap,115,Negative,13,5,208,8,2,70%,High,Positive,80%
Jeffrey Phillips,Senior,DevOps,Server provisioning and configuration,80,Prometheus,124,Negative,11,4,162,4,2,80%,Medium,Positive,80%
Jeffrey Phillips,Junior,DevOps,"Orchestration (e.g., Kubernetes)",45,GitLab CI/CD,21,Positive,20,10,950,0,5,40%,High,Negative,40%
Jeffrey Phillips,Junior,Frontend,JavaScript/jQuery,40,Vue.js,18,Neutral,20,4,120,3,1,35%,High,Negative,50%
Jeffrey Phillips,Senior,Backend,Scalability and performance optimization,75,PHP,93,Negative,15,7,221,9,4,70%,Medium,Positive,70%
Jeffrey Phillips,Mid-Level,Machine Learning,Natural Language Processing (NLP),40,pandas,52,Negative,9,2,673,2,5,60%,Low,Negative,50%
Jeffrey Phillips,Mid-Level,Machine Learning,Unsupervised learning algorithms,50,TensorFlow,48,Positive,18,8,922,4,2,50%,Low,Negative,50%
Jeffrey Phillips,Senior,DevOps,Server provisioning and configuration,95,Jenkins,133,Positive,10,4,792,1,2,80%,Medium,Positive,80%
Jeffrey Phillips,Mid-Level,DevOps,Performance optimization,70,Docker,61,Neutral,8,9,549,7,5,60%,High,Negative,60%
Jeffrey Phillips,Mid-Level,Backend,Database design and management,45,Node.js,42,Neutral,5,9,347,1,5,55%,Low,Positive,70%
Jeffrey Phillips,Mid-Level,DevOps,Log aggregation and analysis,60,Prometheus,72,Neutral,6,6,740,3,2,60%,Medium,Negative,75%
Jeffrey Phillips,Mid-Level,DevOps,Load balancing and scaling,80,Terraform,57,Positive,9,7,530,6,4,45%,Low,Negative,50%
Jeffrey Phillips,Junior,Machine Learning,Model training and evaluation,35,OpenCV,26,Positive,7,5,241,5,3,30%,Low,Positive,30%
Jeffrey Phillips,Mid-Level,Backend,Data validation and sanitization,60,Go,37,Negative,9,2,364,6,2,55%,High,Positive,55%
Jeffrey Phillips,Senior,Mobile,Offline data storage and synchronization,85,Kotlin,117,Neutral,10,5,681,7,4,95%,High,Positive,70%
Jeffrey Phillips,Junior,Mobile,Mobile app UI/UX design,50,Swift,25,Neutral,18,3,108,10,4,35%,Medium,Positive,45%
Jeffrey Phillips,Mid-Level,Mobile,Mobile app UI/UX design,75,Flutter,53,Negative,12,10,457,2,2,75%,High,Negative,45%
Jeffrey Phillips,Mid-Level,DevOps,Continuous Integration and Deployment (CI/CD),75,Ansible,61,Positive,5,4,759,6,3,50%,High,Negative,70%
Jeffrey Phillips,Senior,Machine Learning,Hyperparameter tuning,85,Python,79,Positive,18,1,930,5,1,75%,Medium,Positive,60%
Jeffrey Phillips,Junior,Machine Learning,Time series analysis,35,OpenCV,19,Negative,19,7,114,1,4,30%,Medium,Positive,35%
Jeffrey Phillips,Mid-Level,DevOps,"Cloud platforms (e.g., AWS, Azure, GCP)",60,Ansible,51,Positive,11,6,649,5,2,75%,High,Positive,40%
Jeffrey Phillips,Senior,Frontend,Browser compatibility,70,React,130,Positive,20,5,233,8,5,60%,Medium,Negative,60%
Richard Pittman,Mid-Level,Mobile,Offline data storage and synchronization,60,Xamarin,53,Negative,14,6,417,10,2,70%,Medium,Negative,45%
Richard Pittman,Junior,Mobile,Mobile app performance optimization,50,Xamarin,35,Negative,20,5,636,8,2,45%,Medium,Negative,30%
Richard Pittman,Senior,Machine Learning,Data visualization,95,NumPy,121,Negative,7,4,918,3,3,80%,Medium,Negative,75%
Richard Pittman,Mid-Level,Mobile,Mobile app performance optimization,40,React Native,72,Neutral,19,8,460,8,1,55%,High,Negative,80%
Richard Pittman,Senior,DevOps,Backup and disaster recovery,90,Terraform,112,Negative,11,1,206,5,4,85%,Medium,Positive,95%
Richard Pittman,Mid-Level,DevOps,"Orchestration (e.g., Kubernetes)",70,Docker,64,Negative,10,1,698,8,4,40%,High,Positive,55%
Richard Pittman,Senior,Mobile,Mobile app performance optimization,90,React Native,101,Neutral,10,6,916,7,1,60%,High,Positive,85%
Richard Pittman,Senior,Frontend,JavaScript/jQuery,60,Bootstrap,132,Neutral,8,4,167,8,3,90%,Medium,Positive,95%
Richard Pittman,Mid-Level,Machine Learning,Unsupervised learning algorithms,60,OpenCV,40,Neutral,9,3,533,5,5,55%,High,Negative,70%
Richard Pittman,Junior,Backend,"Server-side programming (e.g., Python, Node.js)",40,Kotlin,35,Positive,7,5,572,1,1,50%,High,Negative,45%
Richard Pittman,Mid-Level,DevOps,Automated testing and deployment pipelines,70,Prometheus,72,Neutral,18,7,699,7,2,70%,Medium,Positive,55%
Richard Pittman,Junior,Backend,Background processing/jobs,35,Go,14,Positive,7,8,583,7,5,30%,High,Positive,45%
Richard Pittman,Senior,Backend,Third-party integrations,75,Scala,89,Negative,10,5,499,4,4,70%,Low,Positive,80%
Richard Pittman,Mid-Level,Backend,API development,80,Java,67,Positive,11,4,861,4,2,40%,Medium,Negative,70%
Richard Pittman,Mid-Level,DevOps,Server provisioning and configuration,50,Kubernetes,61,Neutral,19,8,887,3,2,80%,Medium,Negative,50%
Richard Pittman,Mid-Level,Mobile,Device compatibility,60,Flutter,57,Negative,16,4,804,1,1,70%,Low,Negative,60%
Richard Pittman,Mid-Level,Machine Learning,Hyperparameter tuning,50,Scikit-learn,47,Positive,5,2,643,2,4,55%,Low,Positive,45%
Richard Pittman,Mid-Level,Frontend,Browser compatibility,40,React,63,Neutral,9,9,236,5,4,60%,Low,Positive,80%
Richard Pittman,Senior,Machine Learning,Unsupervised learning algorithms,95,PyTorch,136,Positive,19,3,631,2,1,95%,Medium,Negative,85%
Richard Pittman,Senior,DevOps,"Containerization (e.g., Docker)",80,Ansible,97,Negative,7,2,946,6,4,90%,Medium,Positive,80%
Richard Pittman,Senior,Machine Learning,Feature engineering,80,pandas,135,Neutral,15,7,136,8,2,80%,High,Negative,80%
Richard Pittman,Junior,DevOps,Server provisioning and configuration,30,Terraform,22,Negative,10,3,120,8,3,30%,Medium,Negative,30%
Richard Pittman,Senior,Frontend,AJAX and API integration,60,HTML,122,Negative,5,10,764,3,1,85%,Low,Positive,80%
Richard Pittman,Mid-Level,Mobile,"Native mobile development (e.g., Swift, Kotlin)",55,NativeScript,64,Positive,8,7,963,1,1,75%,Medium,Negative,80%
Richard Pittman,Senior,Frontend,AJAX and API integration,60,CSS,77,Positive,14,10,474,6,2,60%,Low,Positive,80%
Richard Pittman,Senior,DevOps,Server provisioning and configuration,70,Prometheus,136,Neutral,16,6,260,0,3,75%,Low,Positive,70%
Richard Pittman,Junior,Machine Learning,Supervised learning algorithms,40,PyTorch,6,Negative,9,10,846,9,5,35%,Low,Positive,30%
Richard Pittman,Senior,Mobile,Mobile app testing and debugging,80,NativeScript,81,Positive,14,4,826,2,4,60%,Medium,Negative,85%
Jeremy Romero,Junior,DevOps,Automated testing and deployment pipelines,40,Prometheus,32,Negative,9,10,997,1,2,40%,Medium,Negative,45%
Jeremy Romero,Senior,DevOps,Continuous Integration and Deployment (CI/CD),70,Prometheus,124,Neutral,8,6,606,0,2,90%,Medium,Positive,90%
Jeremy Romero,Mid-Level,Backend,Websockets and real-time communication,45,Ruby,50,Positive,17,6,800,8,4,80%,Medium,Positive,60%
Jeremy Romero,Senior,Frontend,Performance optimization,75,JavaScript,109,Positive,9,10,754,2,2,80%,Low,Negative,90%
Jeremy Romero,Junior,DevOps,Log aggregation and analysis,30,GitLab CI/CD,23,Neutral,20,10,368,0,2,35%,Medium,Negative,30%
Jeremy Romero,Mid-Level,Mobile,Mobile app deployment to app stores,70,Swift,51,Neutral,9,2,674,6,5,40%,High,Negative,80%
Jeremy Romero,Mid-Level,Mobile,Offline data storage and synchronization,55,Ionic,60,Neutral,20,10,303,10,2,50%,Medium,Positive,70%
Jeremy Romero,Senior,DevOps,"Orchestration (e.g., Kubernetes)",70,Prometheus,110,Positive,18,3,960,10,4,90%,High,Negative,75%
Jeremy Romero,Mid-Level,Machine Learning,Natural Language Processing (NLP),55,NumPy,45,Positive,15,5,129,6,5,45%,High,Negative,70%
Jeremy Romero,Junior,DevOps,"Containerization (e.g., Docker)",45,Terraform,17,Neutral,9,1,811,1,3,45%,Medium,Negative,45%
Jeremy Romero,Senior,DevOps,Continuous Integration and Deployment (CI/CD),85,ELK Stack,94,Negative,15,6,878,8,3,80%,High,Negative,60%
Jeremy Romero,Senior,DevOps,"Orchestration (e.g., Kubernetes)",60,Terraform,127,Positive,18,4,801,0,1,60%,Low,Negative,80%
Jeremy Romero,Mid-Level,Mobile,"Native mobile development (e.g., Swift, Kotlin)",40,NativeScript,60,Positive,17,6,770,9,5,70%,Medium,Negative,50%
Jeremy Romero,Mid-Level,DevOps,Load balancing and scaling,80,GitLab CI/CD,63,Negative,10,2,244,8,4,55%,Medium,Positive,80%
Jeremy Romero,Mid-Level,Machine Learning,Model deployment and serving,45,Python,41,Neutral,17,4,202,1,2,50%,High,Positive,45%
Jeremy Romero,Mid-Level,DevOps,"Containerization (e.g., Docker)",40,Kubernetes,71,Neutral,11,9,698,9,1,40%,Low,Negative,60%
Jeremy Romero,Senior,Backend,"ORM/ODM (e.g., SQLAlchemy, Mongoose)",85,Kotlin,102,Negative,9,4,357,2,4,85%,Medium,Positive,70%
Jeremy Romero,Mid-Level,Mobile,Push notifications,50,PhoneGap,63,Positive,10,7,276,4,3,40%,Low,Negative,55%
Ryan Mason,Mid-Level,Mobile,"Cross-platform mobile development (e.g., Flutter, React Native)",70,Swift,43,Positive,19,1,828,6,4,70%,High,Positive,50%
Ryan Mason,Junior,Backend,RESTful services,45,Kotlin,11,Positive,9,8,523,6,1,30%,Medium,Negative,45%
Ryan Mason,Junior,DevOps,Security and compliance,40,Kubernetes,20,Positive,12,4,200,5,2,50%,Medium,Positive,50%
Ryan Mason,Mid-Level,Mobile,Device compatibility,80,PhoneGap,70,Positive,13,5,561,6,1,75%,High,Positive,75%
Ryan Mason,Junior,Backend,Data validation and sanitization,40,PHP,32,Neutral,6,9,567,9,4,40%,High,Negative,40%
Ryan Mason,Senior,Frontend,HTML/CSS markup,90,Less,98,Neutral,11,3,603,8,4,70%,Medium,Negative,90%
Leslie Stewart,Senior,DevOps,Automated testing and deployment pipelines,95,Ansible,98,Negative,10,9,422,5,4,95%,Medium,Positive,85%
Leslie Stewart,Mid-Level,Frontend,"State management (e.g., Redux, Vuex)",40,Angular,69,Positive,11,10,984,10,2,75%,High,Negative,60%
Leslie Stewart,Senior,Frontend,"State management (e.g., Redux, Vuex)",85,Webpack,115,Neutral,17,3,398,5,2,60%,Medium,Negative,90%
Leslie Stewart,Junior,Backend,Database design and management,50,Python,35,Positive,8,9,555,0,5,40%,Medium,Negative,50%
Leslie Stewart,Senior,Mobile,Push notifications,80,React Native,109,Negative,6,1,404,9,5,80%,Medium,Negative,70%
Leslie Stewart,Junior,Machine Learning,Unsupervised learning algorithms,30,TensorFlow,7,Positive,10,6,999,2,5,50%,High,Positive,35%
Leslie Stewart,Junior,Mobile,Push notifications,50,Xamarin,33,Negative,18,7,104,1,1,30%,Medium,Positive,35%
Leslie Stewart,Senior,Mobile,"Native mobile development (e.g., Swift, Kotlin)",70,React Native,105,Positive,9,8,938,7,4,60%,Low,Positive,95%
Leslie Stewart,Senior,Machine Learning,Unsupervised learning algorithms,95,TensorFlow,84,Positive,15,10,547,3,2,80%,Medium,Positive,60%
Leslie Stewart,Mid-Level,Frontend,"Frontend frameworks (e.g., React, Angular, Vue)",60,Angular,60,Positive,10,3,375,3,5,45%,Low,Negative,80%
Leslie Stewart,Junior,Mobile,"Cross-platform mobile development (e.g., Flutter, React Native)",35,Xamarin,31,Positive,19,2,454,7,5,30%,High,Negative,50%
Leslie Stewart,Mid-Level,Machine Learning,Reinforcement learning,75,pandas,58,Negative,6,4,328,7,2,75%,Low,Negative,80%
Leslie Stewart,Junior,Frontend,Browser compatibility,50,CSS,19,Positive,7,5,458,2,5,35%,Low,Positive,40%
Leslie Stewart,Mid-Level,Backend,"ORM/ODM (e.g., SQLAlchemy, Mongoose)",60,Python,62,Positive,11,5,234,9,3,45%,Low,Negative,75%
Leslie Stewart,Senior,DevOps,"Cloud platforms (e.g., AWS, Azure, GCP)",60,ELK Stack,144,Positive,13,1,340,7,3,90%,High,Negative,95%
Leslie Stewart,Mid-Level,DevOps,Server provisioning and configuration,80,GitLab CI/CD,68,Negative,19,10,122,6,1,60%,Medium,Positive,70%
Leslie Stewart,Junior,Mobile,Push notifications,40,PhoneGap,28,Negative,12,8,865,9,2,40%,High,Negative,30%
Leslie Stewart,Mid-Level,Frontend,Component-based architecture,45,HTML,53,Negative,19,10,104,6,1,70%,High,Negative,50%
Leslie Stewart,Junior,Machine Learning,"Deep learning models (e.g., neural networks)",30,Python,30,Positive,15,4,725,3,5,30%,Medium,Positive,50%
Leslie Stewart,Senior,Backend,Caching strategies,70,Python,102,Positive,9,7,405,8,5,95%,Low,Negative,75%
Leslie Stewart,Mid-Level,Mobile,Mobile app deployment to app stores,80,Ionic,65,Positive,14,7,338,7,2,70%,Low,Negative,50%
Leslie Stewart,Senior,Mobile,Device compatibility,60,Kotlin,97,Negative,15,8,691,2,2,60%,Low,Negative,60%
Leslie Stewart,Junior,Backend,RESTful services,50,Go,7,Positive,13,10,403,4,3,30%,High,Negative,40%
Leslie Stewart,Senior,Backend,API development,95,Node.js,96,Negative,16,8,627,0,2,75%,Medium,Negative,95%
Leslie Stewart,Junior,Frontend,Responsive web design,30,Vue.js,11,Neutral,17,4,241,8,5,30%,Medium,Positive,35%
Leslie Stewart,Mid-Level,Frontend,JavaScript/jQuery,45,CSS,51,Negative,19,4,730,7,2,55%,High,Positive,70%
Leslie Stewart,Senior,Backend,Caching strategies,75,GraphQL,84,Negative,18,4,270,10,2,60%,Low,Negative,60%
Phillip Atkins,Junior,Machine Learning,Model deployment and serving,40,NumPy,1,Neutral,9,1,800,3,5,50%,High,Negative,45%
Phillip Atkins,Junior,Backend,API development,35,PHP,13,Positive,7,7,126,9,2,45%,Medium,Negative,50%
Phillip Atkins,Mid-Level,DevOps,Continuous Integration and Deployment (CI/CD),40,Prometheus,46,Neutral,19,6,659,2,2,70%,Medium,Negative,60%
Phillip Atkins,Junior,DevOps,Security and compliance,40,Prometheus,26,Positive,13,3,307,8,3,30%,Medium,Positive,45%
Phillip Atkins,Senior,Frontend,Component-based architecture,95,Sass,84,Positive,12,4,807,2,3,95%,High,Positive,70%
Phillip Atkins,Mid-Level,Mobile,Mobile app deployment to app stores,40,NativeScript,41,Positive,12,4,917,7,5,75%,Low,Negative,45%
Phillip Atkins,Senior,DevOps,Load balancing and scaling,95,ELK Stack,112,Negative,16,3,441,0,3,85%,Medium,Positive,85%
Phillip Atkins,Senior,Machine Learning,Model training and evaluation,95,Scikit-learn,112,Negative,11,4,629,3,3,80%,Low,Positive,75%
Phillip Atkins,Mid-Level,DevOps,Load balancing and scaling,55,GitLab CI/CD,52,Negative,12,5,155,3,2,75%,Medium,Negative,60%
Phillip Atkins,Senior,Mobile,Device compatibility,90,Kotlin,96,Neutral,11,2,485,5,3,95%,Medium,Negative,85%
Phillip Atkins,Mid-Level,DevOps,"Cloud platforms (e.g., AWS, Azure, GCP)",40,Terraform,63,Negative,6,2,583,2,5,75%,Low,Negative,50%
Phillip Atkins,Mid-Level,Mobile,Mobile app UI/UX design,55,Ionic,55,Negative,7,9,981,7,3,45%,High,Positive,70%
Phillip Atkins,Senior,Machine Learning,Unsupervised learning algorithms,85,NumPy,111,Negative,8,7,946,1,3,80%,Low,Positive,60%
Phillip Atkins,Junior,Backend,Third-party integrations,45,C#,24,Negative,13,10,536,5,5,35%,High,Negative,35%
Phillip Atkins,Mid-Level,Frontend,Accessibility considerations,80,Vue.js,43,Neutral,14,4,739,5,5,50%,Medium,Positive,50%
Phillip Atkins,Mid-Level,Mobile,Offline data storage and synchronization,60,Ionic,39,Positive,13,3,780,7,5,60%,Low,Positive,70%
Phillip Atkins,Mid-Level,Mobile,Push notifications,60,PhoneGap,70,Negative,6,4,550,4,2,60%,Medium,Negative,60%
Phillip Atkins,Mid-Level,Backend,RESTful services,45,C#,61,Negative,9,5,111,8,1,80%,Low,Positive,55%
Phillip Atkins,Mid-Level,Frontend,Responsive web design,50,CSS,40,Positive,14,2,906,8,5,60%,Low,Positive,70%
Phillip Atkins,Junior,Mobile,"Native mobile development (e.g., Swift, Kotlin)",40,Kotlin,18,Positive,11,2,203,0,5,50%,Medium,Positive,35%
Phillip Atkins,Mid-Level,Mobile,Mobile app deployment to app stores,40,Flutter,46,Positive,7,9,115,5,1,75%,Medium,Negative,80%
Phillip Atkins,Mid-Level,Machine Learning,Hyperparameter tuning,50,Scikit-learn,65,Positive,13,9,695,3,5,70%,Low,Positive,50%
Phillip Atkins,Junior,DevOps,"Orchestration (e.g., Kubernetes)",45,Terraform,5,Neutral,12,2,265,1,3,30%,Medium,Negative,35%
Phillip Atkins,Mid-Level,Mobile,Offline data storage and synchronization,80,Flutter,54,Neutral,12,9,513,3,1,80%,High,Negative,80%
Phillip Atkins,Senior,Mobile,Device compatibility,85,Swift,125,Neutral,14,7,290,2,4,70%,Medium,Positive,85%
Phillip Atkins,Mid-Level,DevOps,"Containerization (e.g., Docker)",75,GitLab CI/CD,49,Negative,17,6,1000,0,3,60%,High,Positive,50%
Phillip Atkins,Senior,Machine Learning,Time series analysis,95,Keras,112,Negative,15,4,582,2,2,85%,Medium,Negative,70%
Phillip Atkins,Junior,Frontend,"Frontend frameworks (e.g., React, Angular, Vue)",30,Angular,31,Neutral,7,9,160,6,3,30%,High,Positive,30%
Phillip Atkins,Senior,Machine Learning,Supervised learning algorithms,60,TensorFlow,142,Negative,6,6,240,1,3,90%,Medium,Positive,60%
Phillip Atkins,Junior,DevOps,Monitoring and alerting,45,Prometheus,16,Positive,11,3,211,2,1,35%,Medium,Negative,40%
Matthew Gill,Junior,Mobile,Device compatibility,40,Kotlin,22,Negative,12,2,945,7,4,35%,Medium,Negative,30%
Matthew Gill,Junior,Backend,"Server-side programming (e.g., Python, Node.js)",45,Python,10,Neutral,17,10,791,1,1,50%,High,Negative,40%
Matthew Gill,Mid-Level,DevOps,Backup and disaster recovery,75,Docker,71,Positive,19,5,836,10,4,75%,High,Negative,55%
Matthew Gill,Mid-Level,Frontend,"Frontend frameworks (e.g., React, Angular, Vue)",55,CSS,38,Neutral,7,1,876,8,1,50%,Medium,Negative,60%
Matthew Gill,Senior,Machine Learning,"Deep learning models (e.g., neural networks)",85,NumPy,143,Negative,19,7,225,9,5,80%,Low,Positive,70%
Matthew Gill,Mid-Level,DevOps,Continuous Integration and Deployment (CI/CD),60,Jenkins,41,Negative,20,8,568,6,3,70%,Medium,Negative,60%
Matthew Gill,Mid-Level,Mobile,Mobile app performance optimization,55,Ionic,55,Positive,6,9,191,4,3,55%,Low,Negative,45%
Matthew Gill,Senior,Frontend,Cross-platform development,85,Webpack,74,Negative,9,5,541,4,5,85%,Low,Positive,75%
Matthew Gill,Senior,Machine Learning,Data visualization,90,pandas,99,Positive,6,9,713,9,5,90%,High,Negative,60%
Matthew Gill,Junior,Machine Learning,Natural Language Processing (NLP),30,Scikit-learn,11,Negative,5,5,199,3,3,45%,High,Positive,40%
Matthew Gill,Mid-Level,Backend,Data validation and sanitization,55,C#,71,Negative,9,3,330,0,3,60%,Medium,Negative,80%
Matthew Gill,Junior,Machine Learning,Reinforcement learning,45,Keras,18,Neutral,7,1,440,3,3,30%,Low,Negative,50%
Matthew Gill,Junior,Frontend,Accessibility considerations,35,Bootstrap,8,Neutral,20,3,774,8,5,30%,Low,Positive,40%
Matthew Gill,Mid-Level,DevOps,Infrastructure as Code,40,ELK Stack,57,Neutral,6,5,880,3,5,60%,Low,Positive,40%
Matthew Gill,Junior,Mobile,Device compatibility,30,Kotlin,3,Positive,13,5,566,8,5,50%,Medium,Negative,40%
Matthew Gill,Mid-Level,Backend,Background processing/jobs,55,Python,48,Negative,15,4,665,1,4,40%,Low,Positive,60%
Matthew Gill,Senior,Backend,Third-party integrations,75,Go,136,Positive,6,2,835,2,1,80%,Low,Positive,70%
William Wilkinson,Junior,DevOps,Automated testing and deployment pipelines,45,Docker,26,Neutral,9,4,881,7,4,50%,Medium,Positive,35%
William Wilkinson,Senior,Mobile,Mobile app security,70,NativeScript,99,Positive,11,7,333,4,1,60%,Low,Positive,95%
William Wilkinson,Mid-Level,Machine Learning,Time series analysis,70,Scikit-learn,49,Neutral,14,3,383,0,5,45%,Low,Negative,50%
William Wilkinson,Junior,DevOps,"Orchestration (e.g., Kubernetes)",40,GitLab CI/CD,14,Positive,20,10,497,8,1,50%,High,Positive,30%
William Wilkinson,Junior,Frontend,JavaScript/jQuery,45,CSS,17,Neutral,20,10,395,6,5,45%,Low,Negative,45%
William Wilkinson,Junior,DevOps,Monitoring and alerting,40,Docker,31,Neutral,7,7,543,6,2,40%,Low,Positive,40%
William Wilkinson,Mid-Level,Mobile,Push notifications,45,Xamarin,67,Negative,13,2,677,4,5,70%,Low,Negative,40%
William Wilkinson,Senior,Mobile,Offline data storage and synchronization,95,NativeScript,123,Negative,19,7,220,2,4,95%,High,Positive,80%
William Wilkinson,Senior,Machine Learning,Hyperparameter tuning,75,Scikit-learn,91,Negative,13,1,853,2,1,75%,Medium,Negative,60%
Veronica Smith,Senior,Frontend,Performance optimization,60,CSS,131,Negative,16,1,332,4,4,90%,Medium,Positive,90%
Veronica Smith,Senior,DevOps,"Containerization (e.g., Docker)",60,Jenkins,113,Neutral,16,5,554,5,5,70%,Low,Negative,70%
Veronica Smith,Junior,Frontend,Cross-platform development,40,Bootstrap,25,Negative,5,3,837,2,1,45%,High,Negative,40%
Veronica Smith,Senior,Mobile,Mobile app testing and debugging,90,Flutter,137,Negative,13,2,558,2,3,95%,High,Positive,70%
Veronica Smith,Senior,Machine Learning,Unsupervised learning algorithms,95,PyTorch,121,Negative,20,5,647,0,5,70%,High,Positive,70%
Veronica Smith,Junior,Frontend,Responsive web design,30,Vue.js,17,Neutral,12,3,563,3,3,50%,Medium,Negative,50%
Julie Padilla,Senior,Machine Learning,Reinforcement learning,95,PyTorch,104,Negative,16,10,706,3,3,95%,Medium,Positive,75%
Julie Padilla,Junior,Backend,Security and encryption,40,PHP,22,Neutral,12,10,171,6,5,35%,High,Negative,40%
Julie Padilla,Senior,DevOps,Server provisioning and configuration,80,Prometheus,135,Neutral,7,8,925,4,2,75%,Medium,Positive,95%
Julie Padilla,Junior,Machine Learning,Model explainability and interpretability,30,Python,24,Positive,19,4,724,2,3,35%,Low,Positive,45%
Julie Padilla,Mid-Level,Machine Learning,Natural Language Processing (NLP),50,pandas,61,Neutral,17,8,278,8,5,70%,Low,Negative,45%
Julie Padilla,Mid-Level,Mobile,Mobile app deployment to app stores,50,PhoneGap,63,Positive,10,4,983,4,1,50%,Low,Negative,45%
Julie Padilla,Junior,Frontend,Performance optimization,30,Bootstrap,11,Positive,7,6,898,7,3,50%,Medium,Positive,45%
Julie Padilla,Senior,DevOps,Monitoring and alerting,60,GitLab CI/CD,96,Neutral,5,3,302,5,4,95%,Medium,Negative,90%
Julie Padilla,Mid-Level,Machine Learning,Data preprocessing and cleaning,45,OpenCV,48,Positive,17,2,805,10,5,60%,High,Negative,55%
Julie Padilla,Mid-Level,Backend,Caching strategies,60,Scala,57,Positive,12,2,689,1,2,70%,Low,Negative,40%
Julie Padilla,Junior,Machine Learning,Model deployment and serving,45,OpenCV,10,Negative,5,9,335,8,4,40%,Medium,Positive,45%
Julie Padilla,Junior,Machine Learning,Reinforcement learning,45,TensorFlow,18,Neutral,20,5,723,8,3,40%,Low,Negative,45%
Julie Padilla,Mid-Level,Mobile,Push notifications,75,NativeScript,63,Positive,13,4,566,9,3,80%,High,Positive,80%
Julie Padilla,Senior,Backend,Caching strategies,85,Kotlin,87,Positive,20,1,672,7,2,75%,Medium,Negative,85%
Julie Padilla,Junior,Machine Learning,Model deployment and serving,40,Scikit-learn,35,Neutral,15,6,963,10,1,30%,Medium,Positive,45%
Julie Padilla,Junior,DevOps,"Containerization (e.g., Docker)",35,Prometheus,11,Negative,17,1,633,5,3,35%,Low,Positive,35%
Crystal Ferrell,Junior,DevOps,Server provisioning and configuration,40,ELK Stack,33,Positive,6,8,239,0,3,30%,High,Positive,30%
Crystal Ferrell,Junior,DevOps,Automated testing and deployment pipelines,50,GitLab CI/CD,21,Neutral,11,5,696,1,3,40%,High,Positive,45%
Crystal Ferrell,Junior,Backend,"Web framework (e.g., Django, Flask, Express.js)",45,Python,10,Negative,6,3,712,4,5,35%,Medium,Negative,35%
Crystal Ferrell,Mid-Level,Backend,Websockets and real-time communication,80,Java,61,Negative,20,3,955,5,4,55%,Medium,Negative,75%
Crystal Ferrell,Junior,Backend,"ORM/ODM (e.g., SQLAlchemy, Mongoose)",50,C#,13,Neutral,9,1,674,10,3,50%,Medium,Positive,45%
Crystal Ferrell,Junior,Frontend,AJAX and API integration,30,Webpack,35,Negative,10,4,810,6,3,40%,Low,Positive,40%
Crystal Ferrell,Junior,Machine Learning,Model deployment and serving,45,Python,4,Negative,10,5,127,0,3,45%,Medium,Positive,50%
Crystal Ferrell,Mid-Level,Machine Learning,Unsupervised learning algorithms,45,Python,46,Negative,15,5,747,0,1,40%,Medium,Negative,75%
Crystal Ferrell,Senior,Backend,Database design and management,75,Node.js,140,Positive,6,7,493,4,3,70%,Low,Negative,60%
Crystal Ferrell,Mid-Level,DevOps,Security and compliance,80,Jenkins,62,Negative,12,9,620,1,1,55%,Medium,Positive,50%
Crystal Ferrell,Junior,Backend,"ORM/ODM (e.g., SQLAlchemy, Mongoose)",45,GraphQL,5,Neutral,19,10,146,5,3,45%,Low,Positive,45%
Crystal Ferrell,Junior,Backend,Security and encryption,40,Python,12,Positive,7,9,763,2,4,50%,Low,Positive,30%
Crystal Ferrell,Mid-Level,Frontend,Cross-platform development,70,Less,62,Positive,5,10,393,10,4,40%,Low,Positive,50%
Crystal Ferrell,Mid-Level,Backend,Caching strategies,40,Kotlin,37,Negative,10,7,364,10,1,75%,High,Positive,60%
Crystal Ferrell,Mid-Level,Frontend,"State management (e.g., Redux, Vuex)",40,HTML,51,Positive,6,6,546,5,5,50%,Medium,Negative,40%
Crystal Ferrell,Junior,Backend,Authentication and authorization,40,PHP,30,Positive,8,3,498,4,1,35%,Low,Positive,50%
Crystal Ferrell,Senior,Machine Learning,Data visualization,80,Keras,103,Neutral,17,7,683,3,5,70%,Low,Negative,95%
Crystal Ferrell,Junior,DevOps,Server provisioning and configuration,40,ELK Stack,21,Neutral,19,2,817,0,1,35%,Low,Positive,30%
Crystal Ferrell,Junior,Backend,Background processing/jobs,45,Node.js,9,Positive,14,7,331,7,2,35%,Medium,Negative,45%
Crystal Ferrell,Junior,Frontend,Browser compatibility,50,JavaScript,7,Positive,9,3,291,7,1,35%,Medium,Positive,45%
Crystal Ferrell,Senior,Mobile,Offline data storage and synchronization,60,Flutter,104,Neutral,11,6,652,10,1,85%,Low,Negative,60%
Stephanie Kidd,Junior,Backend,RESTful services,35,Ruby,5,Negative,18,6,408,8,3,30%,High,Negative,50%
Stephanie Kidd,Junior,Machine Learning,Feature engineering,40,PyTorch,1,Neutral,20,6,473,10,4,45%,Medium,Negative,30%
Stephanie Kidd,Junior,Frontend,Responsive web design,45,Less,15,Negative,16,2,121,3,4,35%,High,Negative,40%
Stephanie Kidd,Junior,Mobile,Offline data storage and synchronization,45,PhoneGap,22,Neutral,17,7,249,1,1,30%,Medium,Positive,40%
Stephanie Kidd,Junior,Mobile,Mobile app testing and debugging,30,Swift,27,Positive,6,3,371,8,3,45%,High,Negative,45%
Stephanie Kidd,Mid-Level,Frontend,"State management (e.g., Redux, Vuex)",40,React,62,Negative,14,9,630,6,5,60%,High,Positive,70%
Stephanie Kidd,Senior,Machine Learning,Data preprocessing and cleaning,80,PyTorch,135,Positive,7,9,282,3,3,70%,Low,Positive,90%
Stephanie Kidd,Senior,Backend,Third-party integrations,90,PHP,118,Positive,5,3,150,4,3,75%,Low,Positive,90%
Stephanie Kidd,Senior,Frontend,User interface design,90,Angular,142,Neutral,16,4,924,9,3,95%,Medium,Positive,70%
Stephanie Kidd,Senior,DevOps,Monitoring and alerting,60,GitLab CI/CD,127,Negative,15,3,964,2,5,70%,High,Negative,95%
Stephanie Kidd,Junior,DevOps,Performance optimization,45,Kubernetes,7,Negative,8,7,383,2,4,35%,Low,Positive,30%
Stephanie Kidd,Junior,Frontend,AJAX and API integration,50,Vue.js,36,Positive,17,8,243,0,5,40%,High,Negative,45%
Stephanie Kidd,Senior,Frontend,User interface design,90,HTML,81,Positive,13,8,671,10,5,60%,Low,Negative,80%
Stephanie Kidd,Junior,Backend,Security and encryption,45,Ruby,23,Negative,11,7,237,4,3,40%,Medium,Positive,50%
Stephanie Kidd,Mid-Level,Frontend,"State management (e.g., Redux, Vuex)",50,Vue.js,43,Positive,8,4,975,10,1,50%,High,Positive,60%
Stephanie Kidd,Senior,DevOps,Automated testing and deployment pipelines,85,ELK Stack,100,Negative,11,3,387,8,2,85%,Medium,Negative,95%
Stephanie Kidd,Senior,DevOps,"Orchestration (e.g., Kubernetes)",60,Docker,123,Positive,5,8,316,3,5,95%,Medium,Positive,70%
Stephanie Kidd,Senior,Backend,"ORM/ODM (e.g., SQLAlchemy, Mongoose)",80,Kotlin,119,Neutral,17,9,669,2,2,75%,High,Negative,80%
Stephanie Kidd,Junior,Mobile,"Native mobile development (e.g., Swift, Kotlin)",30,PhoneGap,18,Neutral,13,10,313,3,1,30%,Medium,Negative,35%
Stephanie Kidd,Junior,Mobile,Push notifications,45,PhoneGap,34,Negative,14,4,761,7,3,35%,Medium,Negative,35%
Stephanie Kidd,Junior,Machine Learning,Supervised learning algorithms,50,Keras,9,Neutral,17,10,670,0,1,30%,Medium,Positive,35%
Stephanie Kidd,Junior,DevOps,"Orchestration (e.g., Kubernetes)",30,Docker,29,Neutral,5,9,777,10,2,40%,High,Positive,30%
Stephanie Kidd,Senior,Frontend,Accessibility considerations,80,HTML,110,Negative,15,10,426,10,3,70%,Medium,Positive,85%
Stephanie Kidd,Senior,Frontend,AJAX and API integration,80,Bootstrap,144,Positive,19,1,500,1,5,60%,Medium,Positive,80%
Billy Blackburn,Senior,Machine Learning,Natural Language Processing (NLP),75,TensorFlow,74,Negative,5,1,386,9,1,70%,Low,Negative,75%
Billy Blackburn,Mid-Level,DevOps,Load balancing and scaling,50,GitLab CI/CD,56,Neutral,16,7,633,10,3,70%,High,Positive,55%
Billy Blackburn,Junior,Frontend,Client-side routing,40,React,3,Positive,12,9,215,9,2,45%,High,Positive,40%
Billy Blackburn,Junior,Backend,"Server-side programming (e.g., Python, Node.js)",50,C#,13,Neutral,16,5,974,4,2,40%,High,Negative,30%
Billy Blackburn,Senior,Machine Learning,Unsupervised learning algorithms,90,Keras,140,Positive,18,3,655,6,5,90%,High,Negative,70%
Billy Blackburn,Senior,Backend,RESTful services,80,Kotlin,117,Positive,14,7,975,8,2,95%,Medium,Positive,90%
Billy Blackburn,Junior,Mobile,Offline data storage and synchronization,50,Swift,21,Positive,8,1,565,10,3,50%,Low,Negative,40%
Billy Blackburn,Senior,Machine Learning,"Deep learning models (e.g., neural networks)",75,PyTorch,76,Negative,9,2,602,9,4,75%,Low,Negative,70%
Billy Blackburn,Mid-Level,Mobile,"Cross-platform mobile development (e.g., Flutter, React Native)",55,PhoneGap,49,Negative,12,6,630,9,2,70%,High,Positive,55%
Billy Blackburn,Senior,Frontend,AJAX and API integration,90,HTML,143,Neutral,15,6,651,0,5,90%,Medium,Positive,80%
Billy Blackburn,Senior,Machine Learning,Unsupervised learning algorithms,85,NumPy,136,Neutral,10,1,989,8,2,85%,Medium,Negative,70%
Billy Blackburn,Senior,Backend,RESTful services,70,Kotlin,116,Negative,18,6,900,5,2,85%,Low,Negative,90%
Billy Blackburn,Senior,DevOps,Automated testing and deployment pipelines,70,GitLab CI/CD,108,Neutral,11,1,448,3,1,70%,Medium,Negative,70%
Billy Blackburn,Mid-Level,Mobile,Offline data storage and synchronization,75,NativeScript,40,Neutral,8,5,885,3,1,40%,Medium,Negative,60%
Billy Blackburn,Senior,Backend,Security and encryption,90,PHP,137,Positive,17,3,554,0,5,95%,High,Negative,90%
Billy Blackburn,Senior,Mobile,"Cross-platform mobile development (e.g., Flutter, React Native)",80,Ionic,122,Positive,16,5,446,1,4,75%,Low,Positive,70%
Billy Blackburn,Senior,Machine Learning,Time series analysis,90,OpenCV,137,Neutral,7,8,716,5,1,95%,High,Negative,90%
Billy Blackburn,Junior,Backend,Scalability and performance optimization,50,Ruby,25,Positive,12,10,655,4,2,50%,Medium,Negative,45%
Billy Blackburn,Mid-Level,Mobile,Mobile app performance optimization,80,Kotlin,71,Neutral,17,2,925,10,5,55%,Medium,Negative,45%
Adrian Holmes,Junior,Machine Learning,Data visualization,45,pandas,17,Positive,10,7,265,7,4,50%,Medium,Positive,40%
Adrian Holmes,Senior,Backend,Scalability and performance optimization,90,Go,118,Negative,7,7,166,9,5,90%,Medium,Positive,75%
Adrian Holmes,Mid-Level,Backend,Background processing/jobs,80,GraphQL,52,Positive,8,4,703,5,5,75%,Medium,Negative,50%
Adrian Holmes,Mid-Level,DevOps,Automated testing and deployment pipelines,45,Jenkins,55,Positive,17,2,107,4,4,75%,Medium,Negative,75%
Adrian Holmes,Mid-Level,Frontend,"Frontend frameworks (e.g., React, Angular, Vue)",40,JavaScript,68,Positive,7,5,349,10,3,80%,Low,Positive,50%
Adrian Holmes,Junior,Mobile,Push notifications,30,Xamarin,23,Positive,16,9,698,8,5,35%,Low,Positive,30%
Adrian Holmes,Senior,DevOps,Automated testing and deployment pipelines,60,Prometheus,132,Negative,5,8,873,9,4,90%,Low,Positive,80%
Adrian Holmes,Senior,Mobile,Mobile app security,90,Flutter,79,Negative,12,6,211,8,3,85%,Medium,Negative,60%
Adrian Holmes,Mid-Level,Mobile,Offline data storage and synchronization,60,Kotlin,39,Negative,10,8,252,4,1,60%,High,Negative,75%
Adrian Holmes,Senior,Machine Learning,"Deep learning models (e.g., neural networks)",60,pandas,124,Positive,7,1,595,8,1,70%,Medium,Positive,90%
Adrian Holmes,Senior,Backend,"Server-side programming (e.g., Python, Node.js)",95,C#,122,Positive,18,2,768,6,1,80%,High,Negative,80%
Adrian Holmes,Junior,Frontend,Responsive web design,30,Less,9,Negative,8,8,435,10,4,50%,High,Positive,30%
Adrian Holmes,Junior,DevOps,"Containerization (e.g., Docker)",50,ELK Stack,17,Positive,19,10,513,10,4,50%,Medium,Positive,30%
Adrian Holmes,Mid-Level,DevOps,Log aggregation and analysis,80,Prometheus,60,Neutral,8,3,153,2,2,80%,Low,Positive,50%
Adrian Holmes,Junior,Backend,RESTful services,40,Ruby,32,Positive,10,10,318,4,2,40%,Low,Negative,35%
Adrian Holmes,Senior,Machine Learning,Supervised learning algorithms,90,Keras,106,Positive,7,9,203,2,5,80%,Low,Positive,70%
Adrian Holmes,Senior,DevOps,Performance optimization,90,Prometheus,92,Positive,19,6,473,1,3,60%,Medium,Positive,70%
Adrian Holmes,Senior,Mobile,Mobile app security,90,React Native,131,Negative,14,4,633,5,4,80%,Low,Positive,85%
Adrian Holmes,Mid-Level,Mobile,Offline data storage and synchronization,60,React Native,63,Positive,9,3,914,4,2,55%,Low,Negative,50%
Adrian Holmes,Mid-Level,Backend,Third-party integrations,70,Node.js,55,Positive,13,3,802,7,2,45%,High,Negative,70%
Adrian Holmes,Mid-Level,Machine Learning,Feature engineering,55,pandas,71,Neutral,14,8,697,10,4,75%,High,Negative,45%
Adrian Holmes,Mid-Level,Machine Learning,Transfer learning,80,NumPy,49,Neutral,10,10,290,0,1,80%,Medium,Positive,70%
Adrian Holmes,Mid-Level,Backend,Background processing/jobs,80,Java,53,Neutral,18,4,812,6,4,50%,Low,Positive,55%
Adrian Holmes,Mid-Level,DevOps,Security and compliance,75,Docker,71,Neutral,9,2,159,9,4,55%,High,Negative,70%
Adrian Holmes,Senior,Backend,"ORM/ODM (e.g., SQLAlchemy, Mongoose)",95,C#,143,Positive,19,7,839,2,3,75%,Low,Negative,75%
Adrian Holmes,Junior,DevOps,"Cloud platforms (e.g., AWS, Azure, GCP)",40,Docker,7,Neutral,19,7,713,0,2,50%,Low,Negative,35%
Adrian Holmes,Junior,Frontend,Accessibility considerations,50,Webpack,2,Positive,20,7,147,1,1,50%,Medium,Negative,50%
Adrian Holmes,Junior,Mobile,Mobile app testing and debugging,30,Kotlin,7,Neutral,15,7,650,9,5,45%,Low,Negative,45%
Scott Wood,Junior,Machine Learning,Computer Vision,30,TensorFlow,17,Neutral,18,5,991,9,2,35%,High,Positive,50%
Scott Wood,Mid-Level,Backend,Caching strategies,75,GraphQL,50,Neutral,18,9,723,9,2,60%,High,Positive,70%
Scott Wood,Junior,DevOps,Automated testing and deployment pipelines,30,ELK Stack,4,Neutral,19,8,146,6,1,40%,Medium,Positive,30%
Scott Wood,Senior,Mobile,Offline data storage and synchronization,70,Ionic,95,Negative,13,9,254,10,2,80%,Medium,Negative,90%
Scott Wood,Junior,Backend,Authentication and authorization,30,Kotlin,2,Neutral,13,6,368,5,4,35%,Medium,Positive,35%
Scott Wood,Mid-Level,Machine Learning,Data visualization,45,Keras,67,Neutral,20,7,440,10,4,60%,High,Negative,75%
Scott Wood,Mid-Level,Mobile,"Native mobile development (e.g., Swift, Kotlin)",70,Ionic,55,Positive,7,10,800,8,2,60%,Low,Positive,80%
Scott Wood,Mid-Level,DevOps,"Orchestration (e.g., Kubernetes)",60,ELK Stack,52,Negative,13,6,665,5,1,70%,High,Negative,50%
Scott Wood,Junior,Mobile,Device compatibility,40,React Native,22,Neutral,14,5,528,10,1,30%,High,Negative,50%
Scott Wood,Mid-Level,Backend,Data validation and sanitization,80,Ruby,55,Negative,8,7,573,10,2,75%,High,Negative,50%
Scott Wood,Senior,Machine Learning,Computer Vision,60,OpenCV,135,Positive,15,5,982,4,2,80%,Medium,Positive,75%
Scott Wood,Junior,Backend,Scalability and performance optimization,50,Kotlin,32,Negative,15,3,176,8,4,35%,Medium,Negative,50%
Scott Wood,Senior,Machine Learning,Model explainability and interpretability,95,Scikit-learn,104,Negative,16,4,434,4,4,80%,High,Negative,70%
Scott Wood,Mid-Level,Backend,Database design and management,50,Go,39,Positive,8,9,702,10,1,80%,Low,Positive,50%
Scott Wood,Junior,Frontend,"State management (e.g., Redux, Vuex)",40,Sass,13,Negative,11,2,370,4,5,30%,Medium,Positive,50%
Scott Wood,Mid-Level,DevOps,Monitoring and alerting,40,Ansible,62,Positive,9,6,548,3,3,80%,Medium,Negative,75%
Scott Wood,Senior,DevOps,Monitoring and alerting,90,Kubernetes,83,Negative,19,6,474,3,4,95%,Medium,Positive,60%
Scott Wood,Junior,Mobile,"Cross-platform mobile development (e.g., Flutter, React Native)",50,Flutter,22,Negative,12,9,237,7,5,50%,Medium,Positive,35%
Scott Wood,Mid-Level,Frontend,AJAX and API integration,70,CSS,61,Positive,13,9,917,1,2,55%,Low,Positive,75%
Scott Wood,Junior,Frontend,User interface design,45,Angular,26,Neutral,20,10,415,3,3,45%,Low,Positive,50%
Scott Wood,Junior,Frontend,Component-based architecture,30,HTML,10,Negative,19,1,147,6,4,40%,Medium,Negative,40%
Scott Wood,Senior,Backend,Background processing/jobs,80,PHP,138,Positive,14,1,639,6,1,85%,Low,Negative,75%
Abigail Gomez,Mid-Level,Frontend,Client-side routing,40,HTML,43,Neutral,10,1,564,6,1,80%,Low,Negative,55%
Abigail Gomez,Junior,Backend,API development,40,C#,32,Positive,20,6,310,5,5,45%,High,Positive,40%
Abigail Gomez,Senior,Backend,"Server-side programming (e.g., Python, Node.js)",95,Ruby,112,Neutral,17,7,756,7,4,90%,Medium,Negative,70%
Abigail Gomez,Senior,Backend,RESTful services,80,Kotlin,129,Negative,19,5,614,4,3,70%,High,Negative,70%
Abigail Gomez,Senior,DevOps,Automated testing and deployment pipelines,85,Ansible,82,Negative,8,2,190,2,4,85%,Medium,Positive,60%
Abigail Gomez,Junior,Frontend,Form validation,50,HTML,34,Negative,7,4,773,9,1,45%,Medium,Negative,45%
Abigail Gomez,Senior,DevOps,Performance optimization,75,Prometheus,111,Positive,20,6,859,7,5,80%,Medium,Negative,90%
Abigail Gomez,Junior,DevOps,Server provisioning and configuration,40,Kubernetes,8,Positive,8,8,458,8,4,40%,High,Positive,45%
Abigail Gomez,Senior,Backend,Database design and management,90,Java,90,Neutral,10,3,320,2,4,75%,Low,Positive,80%
Abigail Gomez,Junior,Machine Learning,Model deployment and serving,45,Scikit-learn,12,Neutral,19,9,355,7,1,45%,High,Positive,35%
Abigail Gomez,Mid-Level,Backend,Caching strategies,60,Go,68,Positive,19,9,257,5,2,75%,Medium,Negative,50%
Abigail Gomez,Junior,Mobile,Mobile app deployment to app stores,35,Kotlin,14,Neutral,18,9,532,7,5,30%,Low,Negative,50%
Abigail Gomez,Junior,Machine Learning,Computer Vision,30,TensorFlow,25,Neutral,10,4,262,5,1,40%,Low,Negative,50%
Abigail Gomez,Mid-Level,Frontend,Browser compatibility,40,CSS,61,Negative,19,4,102,1,5,45%,High,Positive,75%
Abigail Gomez,Mid-Level,Frontend,User interface design,60,Sass,37,Positive,19,10,712,1,5,40%,High,Negative,60%
Abigail Gomez,Mid-Level,Mobile,Mobile app security,50,React Native,50,Positive,15,7,315,2,5,75%,High,Negative,70%
Abigail Gomez,Mid-Level,Backend,Caching strategies,45,Kotlin,55,Positive,6,4,538,4,1,45%,Low,Positive,40%
Abigail Gomez,Mid-Level,Frontend,HTML/CSS markup,55,Angular,54,Neutral,10,4,665,5,1,75%,Low,Positive,80%
Abigail Gomez,Junior,Backend,Data validation and sanitization,45,Kotlin,27,Positive,18,5,474,1,3,40%,Medium,Positive,50%
Abigail Gomez,Senior,Frontend,AJAX and API integration,90,JavaScript,123,Neutral,20,10,203,4,2,95%,Medium,Positive,70%
Abigail Gomez,Junior,Mobile,Mobile app UI/UX design,40,NativeScript,18,Neutral,7,8,410,4,1,45%,High,Negative,45%
Abigail Gomez,Senior,Backend,RESTful services,75,Java,94,Negative,14,7,253,10,5,90%,Low,Positive,80%
Abigail Gomez,Mid-Level,Frontend,Browser compatibility,60,React,54,Positive,16,5,498,4,3,55%,High,Positive,50%
Abigail Gomez,Senior,Frontend,Client-side routing,80,Angular,130,Negative,8,6,458,7,4,80%,High,Positive,75%
Timothy Lee,Senior,Machine Learning,Transfer learning,85,Scikit-learn,79,Positive,20,6,929,2,4,70%,Low,Negative,80%
Timothy Lee,Senior,Mobile,Mobile app testing and debugging,75,Swift,133,Negative,20,2,881,7,4,70%,Low,Positive,95%
Timothy Lee,Senior,Backend,Scalability and performance optimization,90,GraphQL,134,Negative,13,3,360,6,5,90%,Medium,Positive,75%
Timothy Lee,Junior,Backend,Database design and management,35,Go,31,Neutral,11,6,636,0,3,40%,Medium,Positive,30%
Timothy Lee,Senior,Mobile,Mobile app performance optimization,95,Swift,97,Positive,15,4,739,2,1,70%,Low,Positive,85%
Timothy Lee,Junior,DevOps,"Containerization (e.g., Docker)",50,Docker,9,Negative,11,1,742,6,3,50%,Medium,Positive,40%
Timothy Lee,Junior,Mobile,Mobile app testing and debugging,35,React Native,33,Neutral,15,1,742,3,2,30%,High,Positive,45%
Timothy Lee,Mid-Level,Machine Learning,Model training and evaluation,70,Python,65,Positive,17,4,768,4,3,60%,Medium,Negative,55%
Timothy Lee,Junior,Frontend,"Frontend frameworks (e.g., React, Angular, Vue)",40,HTML,14,Negative,5,6,419,4,1,35%,Low,Positive,35%
Timothy Lee,Mid-Level,Machine Learning,Natural Language Processing (NLP),40,pandas,51,Neutral,8,9,715,6,2,75%,High,Positive,50%
Timothy Lee,Senior,Frontend,Component-based architecture,70,JavaScript,108,Positive,9,2,724,4,2,75%,High,Negative,95%
Timothy Lee,Senior,Mobile,Mobile app security,80,Kotlin,94,Positive,9,4,287,6,2,90%,High,Negative,90%
Timothy Lee,Mid-Level,Machine Learning,Computer Vision,70,PyTorch,59,Negative,20,5,942,5,2,45%,Low,Positive,75%
Timothy Lee,Senior,Mobile,Mobile app performance optimization,80,Kotlin,130,Positive,16,6,945,2,3,90%,Low,Positive,70%
Timothy Lee,Junior,Mobile,Mobile app UI/UX design,45,NativeScript,9,Neutral,17,4,563,5,5,45%,Low,Positive,30%
Timothy Lee,Junior,Mobile,Offline data storage and synchronization,35,PhoneGap,9,Negative,15,5,399,0,4,45%,High,Negative,35%
Timothy Lee,Junior,Frontend,"State management (e.g., Redux, Vuex)",40,React,18,Positive,17,2,883,5,2,50%,Medium,Positive,45%
Timothy Lee,Junior,DevOps,"Cloud platforms (e.g., AWS, Azure, GCP)",40,Terraform,13,Positive,20,3,750,10,5,40%,Medium,Positive,50%
Timothy Lee,Mid-Level,DevOps,"Cloud platforms (e.g., AWS, Azure, GCP)",55,Kubernetes,41,Negative,11,5,836,2,1,50%,Low,Positive,40%
Timothy Lee,Senior,Backend,Data validation and sanitization,75,GraphQL,74,Negative,5,1,158,8,1,85%,Medium,Negative,85%
Timothy Lee,Senior,Frontend,Responsive web design,75,Bootstrap,135,Negative,16,3,945,10,1,60%,High,Positive,80%
Timothy Lee,Junior,Machine Learning,Feature engineering,30,TensorFlow,17,Neutral,14,5,286,4,3,45%,Low,Positive,45%
Timothy Lee,Senior,Backend,"Web framework (e.g., Django, Flask, Express.js)",85,PHP,123,Positive,10,2,377,9,5,75%,Low,Positive,75%
Bethany Golden,Senior,Mobile,Mobile app UI/UX design,95,NativeScript,124,Positive,13,8,192,3,2,75%,High,Positive,85%
Bethany Golden,Junior,Mobile,"Cross-platform mobile development (e.g., Flutter, React Native)",45,Flutter,35,Positive,10,4,710,6,5,40%,Low,Negative,50%
Bethany Golden,Junior,Machine Learning,Data visualization,50,NumPy,23,Neutral,18,2,515,2,5,40%,Low,Positive,40%
Bethany Golden,Junior,Mobile,Mobile app security,50,Swift,35,Negative,12,9,991,3,3,30%,High,Positive,35%
Bethany Golden,Junior,DevOps,Monitoring and alerting,30,Jenkins,24,Positive,12,5,764,8,2,40%,High,Negative,45%
Bethany Golden,Mid-Level,Frontend,"State management (e.g., Redux, Vuex)",80,Angular,69,Negative,8,4,788,1,4,60%,Medium,Positive,50%
Bethany Golden,Mid-Level,Mobile,"Native mobile development (e.g., Swift, Kotlin)",80,NativeScript,63,Positive,18,2,463,6,3,50%,High,Positive,55%
Bethany Golden,Mid-Level,Mobile,Mobile app security,60,React Native,53,Negative,8,7,740,5,2,45%,Medium,Positive,55%
Bethany Golden,Senior,Mobile,Mobile app performance optimization,80,Ionic,107,Negative,14,3,894,4,5,90%,Medium,Positive,95%
Bethany Golden,Junior,DevOps,"Cloud platforms (e.g., AWS, Azure, GCP)",40,Ansible,35,Positive,16,1,877,1,1,40%,High,Negative,30%
Bethany Golden,Senior,Mobile,Mobile app security,75,Ionic,110,Positive,7,5,129,2,2,70%,Low,Positive,75%
Bethany Golden,Junior,Mobile,Mobile app testing and debugging,30,Kotlin,24,Negative,11,4,687,9,2,45%,Low,Positive,50%
Bethany Golden,Junior,Machine Learning,Supervised learning algorithms,45,Python,25,Neutral,6,1,599,1,2,50%,Medium,Positive,35%
Bethany Golden,Junior,Machine Learning,"Deep learning models (e.g., neural networks)",35,PyTorch,28,Neutral,5,7,849,4,5,45%,High,Positive,30%
Bethany Golden,Junior,Machine Learning,Data preprocessing and cleaning,50,Scikit-learn,8,Negative,15,3,368,8,1,40%,Low,Positive,45%
Bethany Golden,Senior,Backend,Caching strategies,85,C#,76,Negative,17,8,596,4,1,85%,Low,Negative,80%
Bethany Golden,Senior,Backend,RESTful services,80,C#,85,Positive,20,1,160,6,5,80%,High,Positive,70%
Bethany Golden,Senior,Frontend,"State management (e.g., Redux, Vuex)",60,Angular,134,Negative,10,6,949,7,5,90%,High,Positive,75%
Bethany Golden,Mid-Level,Backend,Database design and management,80,Kotlin,41,Positive,19,2,501,9,2,80%,Low,Positive,80%
Bethany Golden,Mid-Level,Machine Learning,Feature engineering,75,PyTorch,51,Positive,14,10,703,3,3,70%,Medium,Positive,45%
Travis Wang,Senior,Mobile,Mobile app UI/UX design,75,Ionic,93,Neutral,6,3,994,3,3,80%,Low,Positive,95%
Travis Wang,Junior,DevOps,Monitoring and alerting,35,Docker,8,Positive,8,5,912,2,2,30%,High,Negative,40%
Travis Wang,Junior,DevOps,Backup and disaster recovery,50,Jenkins,21,Positive,20,1,358,6,2,35%,Low,Positive,45%
Travis Wang,Junior,Mobile,Offline data storage and synchronization,30,Swift,35,Negative,11,4,123,1,3,45%,High,Positive,50%
Travis Wang,Junior,Machine Learning,Time series analysis,30,Python,10,Positive,11,3,279,10,3,30%,Low,Positive,45%
Travis Wang,Junior,Frontend,"State management (e.g., Redux, Vuex)",40,Webpack,35,Positive,19,9,727,9,4,40%,Low,Negative,35%
Travis Wang,Junior,Mobile,Mobile app UI/UX design,35,NativeScript,34,Positive,20,1,790,8,1,40%,Medium,Negative,50%
Travis Wang,Junior,Backend,Scalability and performance optimization,40,Go,7,Positive,16,3,917,2,5,40%,Medium,Negative,45%
Travis Wang,Junior,Machine Learning,"Deep learning models (e.g., neural networks)",35,OpenCV,10,Neutral,18,6,752,9,1,30%,High,Negative,35%
Travis Wang,Senior,DevOps,Infrastructure as Code,75,Kubernetes,107,Negative,12,7,367,1,4,80%,High,Negative,80%
Travis Wang,Senior,Mobile,Mobile app UI/UX design,80,PhoneGap,135,Positive,13,5,452,4,1,75%,High,Positive,60%
Travis Wang,Mid-Level,DevOps,Performance optimization,45,ELK Stack,57,Positive,8,7,336,3,4,70%,Medium,Negative,70%
Travis Wang,Junior,Backend,Authentication and authorization,40,Node.js,16,Positive,8,6,841,8,3,50%,Low,Negative,35%
Travis Wang,Junior,Backend,"ORM/ODM (e.g., SQLAlchemy, Mongoose)",30,Python,34,Neutral,14,9,106,2,5,30%,High,Negative,40%
Travis Wang,Junior,Machine Learning,Hyperparameter tuning,35,TensorFlow,20,Positive,17,7,176,0,2,40%,High,Positive,45%
Travis Wang,Junior,Backend,Data validation and sanitization,45,Node.js,19,Positive,8,7,463,5,1,50%,Low,Positive,40%
Travis Wang,Junior,Backend,"Web framework (e.g., Django, Flask, Express.js)",45,Node.js,24,Neutral,18,4,335,2,1,40%,High,Positive,45%
Travis Wang,Senior,Mobile,Offline data storage and synchronization,60,PhoneGap,113,Neutral,13,8,311,1,2,80%,Medium,Positive,95%
Travis Wang,Senior,Frontend,Browser compatibility,95,Less,127,Neutral,7,8,641,8,1,80%,High,Negative,60%
Travis Wang,Mid-Level,Frontend,"State management (e.g., Redux, Vuex)",55,HTML,72,Positive,13,5,288,10,1,70%,Low,Positive,55%
Travis Wang,Junior,Mobile,Device compatibility,35,Ionic,30,Neutral,7,3,499,2,5,35%,High,Positive,30%
Travis Wang,Senior,DevOps,Log aggregation and analysis,70,Docker,130,Neutral,16,3,279,2,3,80%,Low,Positive,90%
Travis Wang,Junior,Machine Learning,Model explainability and interpretability,40,PyTorch,28,Negative,16,8,694,7,2,45%,High,Positive,45%
Jacob Smith,Junior,Frontend,AJAX and API integration,40,React,21,Neutral,16,10,796,4,2,40%,High,Positive,30%
Jacob Smith,Senior,Mobile,"Cross-platform mobile development (e.g., Flutter, React Native)",75,Flutter,77,Positive,7,9,541,9,3,80%,High,Negative,95%
Jacob Smith,Senior,Machine Learning,Model deployment and serving,85,Scikit-learn,121,Positive,13,8,920,0,4,85%,Medium,Positive,80%
Jacob Smith,Senior,Machine Learning,Model training and evaluation,95,pandas,126,Positive,10,4,391,4,5,75%,Low,Negative,60%
Jacob Smith,Mid-Level,Frontend,"Frontend frameworks (e.g., React, Angular, Vue)",55,Vue.js,37,Neutral,12,3,922,8,1,75%,High,Positive,50%
Jacob Smith,Senior,Machine Learning,Hyperparameter tuning,85,Python,120,Negative,10,2,151,5,4,85%,High,Positive,95%
Jacob Smith,Junior,Machine Learning,Time series analysis,45,pandas,20,Negative,12,10,831,5,3,50%,High,Positive,45%
Jacob Smith,Mid-Level,Frontend,"State management (e.g., Redux, Vuex)",40,Vue.js,39,Positive,8,2,544,8,2,55%,Low,Negative,70%
Jacob Smith,Senior,Backend,"Web framework (e.g., Django, Flask, Express.js)",90,Java,118,Neutral,20,3,964,6,4,80%,Low,Positive,75%
Jacob Smith,Junior,Machine Learning,Unsupervised learning algorithms,50,NumPy,24,Neutral,19,6,245,0,4,30%,High,Positive,30%
Jacob Smith,Senior,Backend,Data validation and sanitization,80,Kotlin,91,Positive,11,1,437,7,3,85%,Low,Positive,60%
Jacob Smith,Senior,DevOps,Security and compliance,80,GitLab CI/CD,134,Positive,14,9,742,6,2,85%,High,Positive,75%
Jacob Smith,Junior,DevOps,Server provisioning and configuration,30,Jenkins,16,Positive,8,10,736,10,4,45%,High,Positive,35%
Jacob Smith,Senior,DevOps,Backup and disaster recovery,95,Terraform,91,Positive,7,4,872,7,1,95%,Low,Positive,60%
Jacob Smith,Senior,Machine Learning,Transfer learning,70,pandas,96,Neutral,7,8,791,10,5,60%,Low,Positive,70%
Jacob Smith,Mid-Level,Backend,Scalability and performance optimization,70,Ruby,58,Positive,20,9,839,0,5,60%,Low,Negative,40%
Jacob Smith,Senior,DevOps,Infrastructure as Code,85,ELK Stack,83,Positive,13,1,330,2,2,60%,Low,Positive,70%
Jacob Smith,Mid-Level,Frontend,Accessibility considerations,45,React,56,Positive,11,3,587,0,5,40%,High,Negative,80%
Jacob Smith,Junior,Mobile,Mobile app UI/UX design,45,Xamarin,6,Negative,12,6,903,1,1,35%,Low,Negative,30%
Jacob Smith,Junior,Backend,RESTful services,40,Go,15,Neutral,8,1,580,3,4,30%,Low,Positive,40%
Jacob Smith,Junior,Machine Learning,Time series analysis,35,Keras,17,Positive,16,2,304,10,5,40%,Medium,Negative,45%
Jacob Smith,Junior,Frontend,AJAX and API integration,45,Less,19,Positive,11,1,708,0,4,35%,Low,Positive,30%
Jacob Smith,Mid-Level,DevOps,Load balancing and scaling,70,GitLab CI/CD,46,Negative,16,6,414,0,4,60%,Medium,Negative,60%
Jacob Smith,Senior,Frontend,Accessibility considerations,85,Bootstrap,129,Negative,8,2,881,7,2,95%,Medium,Negative,70%
Jacob Smith,Mid-Level,Machine Learning,Model explainability and interpretability,40,NumPy,58,Neutral,17,5,332,8,1,50%,Low,Positive,40%
Eric Potter,Mid-Level,Machine Learning,Model explainability and interpretability,60,Python,63,Neutral,13,1,583,8,5,45%,Low,Negative,55%
Eric Potter,Senior,DevOps,Load balancing and scaling,95,Kubernetes,106,Neutral,7,3,907,2,2,70%,Low,Negative,70%
Eric Potter,Junior,DevOps,Monitoring and alerting,30,Prometheus,36,Negative,19,1,443,8,5,30%,Low,Negative,40%
Eric Potter,Junior,Frontend,Form validation,35,Bootstrap,16,Neutral,6,3,531,2,5,50%,Low,Positive,40%
Eric Potter,Senior,Mobile,Mobile app performance optimization,70,PhoneGap,78,Positive,7,1,207,0,3,95%,Medium,Positive,80%
Eric Potter,Mid-Level,Frontend,Cross-platform development,75,CSS,57,Negative,20,2,194,0,4,50%,Low,Positive,50%
Eric Potter,Mid-Level,Frontend,Cross-platform development,45,Less,66,Positive,12,7,645,2,4,60%,High,Negative,70%
Eric Potter,Junior,Backend,Third-party integrations,45,C#,26,Negative,9,9,397,9,3,35%,Low,Positive,30%
Eric Potter,Senior,Mobile,Mobile app security,85,Ionic,126,Neutral,13,1,669,3,3,95%,Low,Positive,95%
Eric Potter,Senior,Frontend,"Frontend frameworks (e.g., React, Angular, Vue)",90,CSS,97,Neutral,5,5,635,8,5,70%,Medium,Positive,70%
Eric Potter,Senior,DevOps,Backup and disaster recovery,85,Kubernetes,143,Positive,12,2,889,8,1,75%,Medium,Negative,60%
Eric Potter,Senior,Mobile,Push notifications,70,Flutter,121,Negative,15,1,191,8,4,60%,Medium,Negative,75%
Eric Potter,Mid-Level,Backend,Third-party integrations,45,Java,69,Positive,11,5,353,1,1,60%,Low,Negative,70%
Eric Potter,Junior,Machine Learning,Time series analysis,50,TensorFlow,1,Negative,8,3,679,8,3,35%,High,Negative,35%
Eric Potter,Mid-Level,Backend,RESTful services,60,Scala,38,Negative,19,7,965,2,5,60%,Medium,Positive,80%
Eric Potter,Junior,Machine Learning,Feature engineering,50,Scikit-learn,20,Neutral,18,9,762,4,5,45%,Medium,Negative,35%
Eric Potter,Junior,DevOps,Automated testing and deployment pipelines,30,Ansible,15,Neutral,9,3,659,3,1,30%,Medium,Positive,50%
Eric Potter,Senior,Mobile,Mobile app UI/UX design,75,Xamarin,88,Neutral,11,3,100,2,3,75%,Low,Negative,90%
Eric Potter,Junior,Backend,"ORM/ODM (e.g., SQLAlchemy, Mongoose)",40,Kotlin,7,Positive,7,5,326,7,2,50%,High,Positive,45%
Eric Potter,Senior,Frontend,Accessibility considerations,70,React,101,Positive,20,5,348,5,5,95%,Medium,Negative,75%
Eric Potter,Mid-Level,Frontend,Component-based architecture,55,React,60,Positive,18,7,528,4,2,50%,Low,Negative,50%
Eric Potter,Junior,DevOps,"Orchestration (e.g., Kubernetes)",30,Kubernetes,22,Neutral,13,1,275,9,1,45%,High,Negative,50%
Eric Potter,Senior,Backend,"Web framework (e.g., Django, Flask, Express.js)",60,Kotlin,107,Neutral,5,7,926,6,4,80%,Medium,Negative,70%
Eric Potter,Senior,Frontend,AJAX and API integration,60,JavaScript,141,Positive,10,3,793,6,2,90%,Low,Negative,95%
Eric Potter,Senior,Mobile,Mobile app performance optimization,85,Xamarin,92,Positive,13,1,361,7,1,90%,Low,Negative,70%
Eric Potter,Mid-Level,Backend,Third-party integrations,55,Kotlin,60,Negative,11,8,620,3,1,60%,Medium,Negative,75%
Eric Potter,Senior,Frontend,Form validation,90,CSS,122,Positive,13,3,446,9,4,85%,High,Positive,95%
Eric Potter,Junior,DevOps,Backup and disaster recovery,45,Terraform,1,Negative,20,5,255,2,4,30%,High,Negative,45%
Eric Potter,Junior,Frontend,Browser compatibility,45,React,17,Negative,19,3,366,7,3,50%,High,Positive,30%
Hannah Alexander,Junior,Machine Learning,Natural Language Processing (NLP),35,Scikit-learn,17,Neutral,8,1,786,1,4,45%,High,Positive,45%
Hannah Alexander,Mid-Level,DevOps,Server provisioning and configuration,80,Prometheus,53,Positive,11,10,795,1,5,80%,Medium,Negative,40%
Hannah Alexander,Junior,DevOps,Load balancing and scaling,30,Kubernetes,35,Positive,7,10,161,2,2,50%,Medium,Negative,45%
Hannah Alexander,Junior,Backend,Websockets and real-time communication,50,Go,10,Positive,13,2,482,10,3,45%,Low,Negative,40%
Hannah Alexander,Senior,Frontend,HTML/CSS markup,70,CSS,97,Positive,6,3,448,1,4,70%,High,Positive,80%
Hannah Alexander,Junior,Mobile,Offline data storage and synchronization,50,Xamarin,35,Positive,12,1,571,7,5,35%,High,Positive,40%
Hannah Alexander,Mid-Level,Machine Learning,Hyperparameter tuning,80,PyTorch,52,Negative,6,6,865,9,1,80%,High,Negative,75%
Hannah Alexander,Mid-Level,Mobile,Offline data storage and synchronization,75,React Native,57,Negative,11,6,588,2,1,45%,Low,Positive,40%
Hannah Alexander,Mid-Level,Machine Learning,Time series analysis,40,Python,65,Negative,10,4,522,10,5,75%,Medium,Negative,45%
Hannah Alexander,Senior,Mobile,Mobile app UI/UX design,95,NativeScript,88,Positive,8,5,736,6,1,90%,High,Positive,90%
Hannah Alexander,Junior,Mobile,Device compatibility,30,Flutter,33,Positive,20,10,941,8,3,30%,Medium,Positive,40%
Juan Ramirez,Junior,Machine Learning,Supervised learning algorithms,35,pandas,30,Neutral,12,7,784,4,5,35%,Low,Positive,40%
Juan Ramirez,Junior,DevOps,Automated testing and deployment pipelines,35,Ansible,33,Positive,8,8,228,5,4,35%,High,Positive,45%
Juan Ramirez,Mid-Level,Machine Learning,Hyperparameter tuning,50,Keras,39,Neutral,16,2,604,9,1,75%,Low,Negative,50%
Juan Ramirez,Senior,Backend,"ORM/ODM (e.g., SQLAlchemy, Mongoose)",85,GraphQL,118,Neutral,14,1,715,8,5,80%,High,Negative,75%
Juan Ramirez,Mid-Level,DevOps,"Cloud platforms (e.g., AWS, Azure, GCP)",45,Jenkins,56,Negative,15,1,372,6,4,60%,High,Negative,50%
Juan Ramirez,Senior,Backend,Scalability and performance optimization,95,PHP,74,Neutral,16,5,921,3,4,75%,Medium,Positive,60%
Juan Ramirez,Mid-Level,Mobile,Device compatibility,55,React Native,58,Negative,13,9,200,6,3,40%,Low,Negative,70%
Juan Ramirez,Mid-Level,Mobile,Mobile app UI/UX design,70,React Native,53,Negative,14,1,675,9,4,45%,High,Positive,45%
Juan Ramirez,Senior,DevOps,"Containerization (e.g., Docker)",95,Kubernetes,96,Neutral,17,9,174,2,5,60%,Medium,Negative,70%
Juan Ramirez,Junior,Frontend,"Frontend frameworks (e.g., React, Angular, Vue)",50,Sass,28,Positive,5,10,424,3,2,50%,Medium,Positive,40%
Juan Ramirez,Senior,Machine Learning,Model deployment and serving,75,PyTorch,119,Positive,20,3,934,6,1,70%,High,Positive,90%
Juan Ramirez,Senior,DevOps,"Orchestration (e.g., Kubernetes)",70,Docker,118,Negative,9,6,470,6,5,70%,Medium,Negative,70%
Juan Ramirez,Mid-Level,Mobile,Mobile app testing and debugging,75,PhoneGap,48,Negative,17,9,567,1,2,70%,Medium,Negative,80%
Juan Ramirez,Junior,Machine Learning,Feature engineering,35,Scikit-learn,6,Neutral,11,9,462,4,1,50%,Medium,Positive,30%
Juan Ramirez,Mid-Level,Mobile,Mobile app deployment to app stores,70,React Native,44,Positive,18,4,283,6,1,55%,High,Negative,80%
Juan Ramirez,Junior,DevOps,Monitoring and alerting,40,Jenkins,1,Negative,5,1,236,10,1,30%,Medium,Positive,45%
Juan Ramirez,Junior,Machine Learning,Hyperparameter tuning,30,Scikit-learn,5,Neutral,13,4,702,1,1,35%,Low,Positive,35%
Juan Ramirez,Senior,Frontend,AJAX and API integration,95,Vue.js,73,Neutral,9,10,371,7,4,85%,Medium,Negative,80%
Juan Ramirez,Mid-Level,Frontend,Component-based architecture,60,Less,43,Positive,16,7,465,2,2,50%,High,Positive,55%
Jason Olson,Junior,DevOps,Continuous Integration and Deployment (CI/CD),50,ELK Stack,1,Neutral,10,5,665,5,5,50%,High,Negative,35%
Jason Olson,Mid-Level,DevOps,Log aggregation and analysis,45,ELK Stack,50,Negative,17,9,485,6,5,60%,High,Negative,80%
Jason Olson,Mid-Level,Frontend,"State management (e.g., Redux, Vuex)",75,Less,40,Positive,13,4,656,3,2,55%,Medium,Positive,55%
Jason Olson,Senior,DevOps,Backup and disaster recovery,80,Jenkins,84,Negative,20,5,811,3,5,75%,Low,Positive,75%
Jason Olson,Mid-Level,DevOps,Backup and disaster recovery,40,Kubernetes,38,Neutral,11,7,173,5,3,50%,High,Positive,45%
Jason Olson,Junior,Frontend,HTML/CSS markup,50,Less,1,Neutral,13,8,363,1,5,30%,High,Negative,30%
Vickie Ray,Mid-Level,DevOps,Infrastructure as Code,60,Jenkins,37,Negative,12,3,251,5,1,80%,Low,Positive,80%
Vickie Ray,Mid-Level,DevOps,Server provisioning and configuration,45,Prometheus,43,Neutral,12,9,829,7,2,50%,Medium,Positive,70%
Vickie Ray,Junior,Machine Learning,Data visualization,45,PyTorch,13,Positive,12,4,427,0,1,35%,Medium,Positive,40%
Vickie Ray,Mid-Level,Machine Learning,Time series analysis,55,PyTorch,38,Neutral,12,9,191,6,1,55%,Medium,Positive,70%
Vickie Ray,Junior,Mobile,Mobile app UI/UX design,50,PhoneGap,5,Positive,11,7,626,0,5,30%,Medium,Negative,30%
Vickie Ray,Mid-Level,Frontend,Cross-platform development,40,HTML,38,Negative,10,6,775,0,5,60%,Low,Negative,80%
Jeffrey Figueroa,Mid-Level,DevOps,Automated testing and deployment pipelines,70,Prometheus,37,Neutral,7,7,692,4,5,70%,Low,Negative,55%
Jeffrey Figueroa,Senior,Frontend,JavaScript/jQuery,85,Bootstrap,76,Positive,20,8,775,4,2,85%,High,Positive,95%
Jeffrey Figueroa,Mid-Level,DevOps,Automated testing and deployment pipelines,70,Docker,61,Negative,20,9,840,7,5,40%,High,Negative,80%
Jeffrey Figueroa,Mid-Level,DevOps,"Containerization (e.g., Docker)",45,Jenkins,72,Neutral,20,4,152,1,3,45%,Low,Negative,80%
Jeffrey Figueroa,Mid-Level,Frontend,"Frontend frameworks (e.g., React, Angular, Vue)",70,HTML,50,Neutral,6,2,537,3,3,75%,Medium,Negative,45%
Jeffrey Figueroa,Mid-Level,Frontend,"Frontend frameworks (e.g., React, Angular, Vue)",45,JavaScript,56,Negative,9,8,685,5,1,75%,Medium,Negative,80%
Jeffrey Figueroa,Senior,Frontend,Accessibility considerations,95,Vue.js,78,Neutral,9,9,686,4,1,60%,High,Positive,95%
Jeffrey Figueroa,Junior,Backend,Caching strategies,30,Java,31,Negative,18,4,111,5,5,50%,High,Positive,45%
Jeffrey Figueroa,Senior,Backend,Background processing/jobs,60,Java,100,Positive,19,5,811,4,4,90%,Medium,Negative,75%
Jeffrey Figueroa,Junior,Backend,Websockets and real-time communication,45,C#,8,Negative,5,9,680,6,4,40%,High,Negative,50%
Jeffrey Figueroa,Senior,DevOps,Automated testing and deployment pipelines,75,Ansible,123,Negative,17,4,365,3,2,80%,Low,Negative,70%
Jeffrey Figueroa,Junior,Backend,"Web framework (e.g., Django, Flask, Express.js)",40,Node.js,26,Neutral,6,6,929,2,1,30%,Medium,Negative,40%
Jeffrey Figueroa,Senior,Machine Learning,Model training and evaluation,60,pandas,76,Negative,9,7,876,0,4,70%,High,Negative,90%
Jeffrey Figueroa,Mid-Level,Mobile,Mobile app UI/UX design,80,Ionic,62,Neutral,16,3,164,10,5,55%,Low,Positive,45%
Jeffrey Figueroa,Mid-Level,Mobile,Mobile app security,50,Swift,59,Positive,8,6,114,7,5,55%,High,Positive,80%
Jeffrey Figueroa,Senior,Frontend,Responsive web design,75,Angular,122,Negative,10,1,348,7,1,90%,Medium,Negative,60%
Jeffrey Figueroa,Junior,Backend,Authentication and authorization,30,Scala,10,Negative,18,8,281,7,4,50%,Low,Negative,30%
Jeffrey Figueroa,Senior,Frontend,Accessibility considerations,60,Less,120,Neutral,15,7,135,4,5,80%,Low,Positive,75%
Jeffrey Figueroa,Senior,Frontend,Client-side routing,70,Angular,96,Positive,13,1,825,3,5,85%,Medium,Positive,70%
Jeffrey Figueroa,Mid-Level,Machine Learning,Model training and evaluation,75,TensorFlow,68,Negative,10,5,680,5,2,80%,High,Positive,40%
Jeffrey Figueroa,Senior,Frontend,Cross-platform development,85,Webpack,106,Neutral,10,9,928,3,5,95%,Medium,Negative,60%
Jeffrey Figueroa,Senior,Backend,Authentication and authorization,60,Python,83,Negative,12,8,707,3,2,80%,Medium,Positive,85%
Joyce Marquez,Mid-Level,Backend,Data validation and sanitization,60,Python,51,Positive,6,8,847,2,4,75%,Low,Negative,45%
Joyce Marquez,Senior,Frontend,Performance optimization,80,Bootstrap,114,Positive,16,4,586,7,5,85%,Medium,Positive,90%
Joyce Marquez,Senior,Machine Learning,Hyperparameter tuning,90,PyTorch,99,Negative,16,1,792,4,3,85%,Low,Positive,90%
Joyce Marquez,Junior,Frontend,Component-based architecture,40,React,32,Neutral,13,6,896,6,4,40%,Medium,Positive,35%
Joyce Marquez,Senior,Frontend,Client-side routing,85,Less,111,Negative,17,7,330,4,4,70%,Medium,Negative,70%
Joyce Marquez,Senior,Mobile,Device compatibility,75,Kotlin,87,Neutral,13,2,427,2,4,95%,High,Negative,80%
Joyce Marquez,Junior,DevOps,"Orchestration (e.g., Kubernetes)",35,Prometheus,20,Negative,13,6,276,1,4,45%,Low,Positive,40%
Joyce Marquez,Senior,Backend,Caching strategies,80,Node.js,101,Negative,14,2,587,0,4,80%,High,Positive,70%
Joyce Marquez,Senior,Backend,Websockets and real-time communication,70,Node.js,128,Positive,20,1,805,9,1,60%,Low,Positive,85%
Joyce Marquez,Senior,Backend,Security and encryption,75,PHP,129,Positive,17,7,935,3,1,85%,High,Negative,90%
Joyce Marquez,Senior,Mobile,"Native mobile development (e.g., Swift, Kotlin)",60,Swift,124,Neutral,16,5,763,8,5,90%,Low,Negative,70%
Joyce Marquez,Junior,Machine Learning,Transfer learning,40,Python,17,Neutral,11,8,230,6,5,30%,Low,Positive,35%
Joyce Marquez,Junior,DevOps,Security and compliance,30,ELK Stack,17,Negative,20,1,318,2,1,50%,Medium,Positive,45%
Joyce Marquez,Senior,DevOps,Security and compliance,90,Prometheus,105,Positive,8,8,871,7,1,70%,High,Negative,85%
Joyce Marquez,Junior,Mobile,Mobile app security,50,Ionic,8,Neutral,13,1,128,8,5,45%,High,Negative,40%
Joyce Marquez,Junior,Machine Learning,Model training and evaluation,30,Scikit-learn,20,Positive,16,5,351,5,4,40%,High,Positive,30%
Joyce Marquez,Senior,Mobile,"Cross-platform mobile development (e.g., Flutter, React Native)",60,Kotlin,103,Positive,8,1,966,3,2,70%,Low,Negative,75%
Joyce Marquez,Mid-Level,Mobile,Offline data storage and synchronization,60,Xamarin,43,Neutral,17,6,294,7,5,50%,High,Negative,40%
Annette Wilson,Mid-Level,DevOps,Load balancing and scaling,70,ELK Stack,39,Positive,19,1,542,1,4,80%,Medium,Positive,55%
Annette Wilson,Mid-Level,Machine Learning,Hyperparameter tuning,75,OpenCV,50,Positive,17,2,861,4,3,55%,Low,Positive,45%
Annette Wilson,Mid-Level,Mobile,"Native mobile development (e.g., Swift, Kotlin)",75,Kotlin,61,Negative,15,9,785,4,3,70%,High,Positive,70%
Annette Wilson,Junior,Frontend,Accessibility considerations,30,Vue.js,31,Negative,10,8,213,6,4,30%,Medium,Positive,30%
Annette Wilson,Mid-Level,Frontend,Accessibility considerations,80,Bootstrap,52,Negative,10,2,398,2,2,45%,High,Positive,80%
Annette Wilson,Junior,Machine Learning,Model deployment and serving,50,NumPy,22,Negative,11,5,700,6,3,40%,High,Positive,45%
Annette Wilson,Mid-Level,Machine Learning,Model deployment and serving,75,Python,37,Neutral,5,10,282,2,3,45%,Low,Positive,40%
Annette Wilson,Junior,Machine Learning,Model explainability and interpretability,40,TensorFlow,1,Neutral,8,10,748,10,2,30%,High,Positive,45%
Annette Wilson,Junior,Frontend,AJAX and API integration,30,JavaScript,9,Positive,5,10,165,5,5,35%,High,Positive,30%
Annette Wilson,Junior,Machine Learning,"Deep learning models (e.g., neural networks)",35,Python,35,Negative,20,8,171,0,2,35%,Low,Negative,35%
Annette Wilson,Mid-Level,Backend,Database design and management,45,Node.js,64,Negative,14,7,637,9,2,40%,High,Negative,45%
Annette Wilson,Mid-Level,Machine Learning,Unsupervised learning algorithms,45,NumPy,57,Negative,5,7,115,10,3,60%,Medium,Negative,50%
Annette Wilson,Junior,Frontend,Component-based architecture,30,Less,21,Positive,7,7,904,2,2,40%,Medium,Negative,35%
Annette Wilson,Mid-Level,DevOps,Infrastructure as Code,40,Docker,62,Positive,10,1,766,5,5,70%,High,Positive,45%
Annette Wilson,Senior,Mobile,Mobile app UI/UX design,90,PhoneGap,141,Neutral,10,6,173,3,2,80%,Medium,Negative,70%
Annette Wilson,Senior,Backend,Data validation and sanitization,75,Scala,128,Negative,13,4,360,6,4,80%,High,Negative,70%
Margaret Hudson,Senior,Backend,Websockets and real-time communication,90,GraphQL,121,Neutral,20,8,969,3,1,90%,Low,Negative,95%
Margaret Hudson,Senior,DevOps,"Cloud platforms (e.g., AWS, Azure, GCP)",80,Ansible,85,Positive,18,2,719,8,5,75%,High,Positive,80%
Margaret Hudson,Mid-Level,Machine Learning,"Deep learning models (e.g., neural networks)",80,TensorFlow,62,Negative,14,4,228,6,4,80%,High,Negative,50%
Margaret Hudson,Junior,Backend,Scalability and performance optimization,45,C#,13,Positive,10,4,511,0,1,45%,High,Positive,40%
Margaret Hudson,Senior,Frontend,Accessibility considerations,85,Webpack,87,Neutral,20,10,948,8,3,70%,High,Positive,80%
Margaret Hudson,Junior,Frontend,Component-based architecture,40,JavaScript,15,Negative,12,6,260,9,5,30%,Low,Negative,40%
Margaret Hudson,Senior,Mobile,Mobile app security,80,Xamarin,82,Positive,20,10,892,3,3,75%,Low,Positive,60%
Margaret Hudson,Mid-Level,Mobile,Device compatibility,45,PhoneGap,72,Positive,17,1,989,8,2,55%,Low,Positive,50%
Margaret Hudson,Mid-Level,Mobile,Mobile app testing and debugging,50,React Native,50,Neutral,11,1,241,10,1,80%,Low,Positive,75%
Margaret Hudson,Mid-Level,Machine Learning,Model deployment and serving,80,Scikit-learn,59,Positive,11,3,521,7,3,60%,High,Positive,75%
Margaret Hudson,Senior,Machine Learning,Transfer learning,95,Keras,114,Neutral,9,10,561,2,2,60%,Low,Positive,60%
Margaret Hudson,Mid-Level,Frontend,AJAX and API integration,75,Sass,38,Positive,12,3,995,10,5,55%,Low,Negative,80%
Margaret Hudson,Senior,Mobile,"Native mobile development (e.g., Swift, Kotlin)",70,NativeScript,138,Positive,7,8,745,0,2,80%,Low,Positive,85%
Margaret Hudson,Mid-Level,Machine Learning,Transfer learning,70,TensorFlow,41,Positive,8,10,790,3,3,50%,Low,Positive,70%
Margaret Hudson,Mid-Level,Frontend,JavaScript/jQuery,50,Webpack,64,Negative,12,10,441,7,5,40%,Low,Negative,40%
Margaret Hudson,Senior,Machine Learning,Natural Language Processing (NLP),95,NumPy,75,Positive,12,1,262,1,4,85%,Low,Positive,90%
Margaret Hudson,Junior,DevOps,"Cloud platforms (e.g., AWS, Azure, GCP)",50,Prometheus,27,Positive,19,5,121,8,5,45%,High,Negative,40%
Margaret Hudson,Junior,Frontend,Accessibility considerations,45,CSS,5,Negative,7,2,392,6,4,50%,High,Positive,35%
Margaret Hudson,Junior,Frontend,HTML/CSS markup,40,HTML,26,Negative,14,4,592,8,1,45%,Medium,Negative,30%
Margaret Hudson,Senior,Backend,Data validation and sanitization,70,Go,82,Negative,11,1,262,6,1,90%,Medium,Positive,90%
Margaret Hudson,Mid-Level,DevOps,Load balancing and scaling,75,ELK Stack,72,Neutral,12,4,489,7,1,55%,Medium,Negative,55%
Margaret Hudson,Mid-Level,Machine Learning,Reinforcement learning,70,PyTorch,40,Neutral,17,6,947,8,2,60%,High,Negative,40%
Mr. Richard Williams,Mid-Level,Frontend,Performance optimization,70,Angular,47,Negative,5,1,373,10,3,50%,Medium,Positive,80%
Mr. Richard Williams,Senior,Backend,RESTful services,90,Java,112,Neutral,12,8,350,3,1,90%,Low,Negative,95%
Mr. Richard Williams,Junior,Frontend,AJAX and API integration,45,Webpack,2,Negative,17,10,894,9,3,30%,Medium,Positive,40%
Mr. Richard Williams,Junior,Backend,"ORM/ODM (e.g., SQLAlchemy, Mongoose)",35,Kotlin,7,Neutral,10,6,609,1,1,50%,Medium,Positive,35%
Mr. Richard Williams,Senior,Machine Learning,Unsupervised learning algorithms,60,pandas,92,Neutral,5,6,574,0,2,70%,Low,Negative,90%
Mr. Richard Williams,Mid-Level,Backend,"ORM/ODM (e.g., SQLAlchemy, Mongoose)",50,Ruby,45,Negative,20,7,670,6,1,50%,Low,Negative,60%
Mr. Richard Williams,Junior,Frontend,JavaScript/jQuery,50,Angular,22,Negative,7,4,599,8,5,40%,Low,Negative,50%
Mr. Richard Williams,Senior,Backend,Data validation and sanitization,90,Node.js,75,Positive,18,6,797,1,2,95%,High,Negative,95%
Mr. Richard Williams,Junior,DevOps,Log aggregation and analysis,50,GitLab CI/CD,16,Negative,5,10,193,6,2,50%,Low,Positive,30%
Mr. Richard Williams,Junior,Frontend,Browser compatibility,35,HTML,16,Negative,12,3,616,10,5,30%,High,Positive,45%
Mr. Richard Williams,Mid-Level,Backend,Authentication and authorization,40,Kotlin,40,Negative,18,7,545,9,3,55%,High,Negative,80%
Mr. Richard Williams,Mid-Level,Machine Learning,Data preprocessing and cleaning,55,pandas,68,Negative,18,2,713,3,5,50%,Low,Negative,50%
Mr. Richard Williams,Senior,Mobile,Offline data storage and synchronization,60,Xamarin,143,Negative,13,4,667,7,4,75%,Medium,Negative,75%
Mr. Richard Williams,Senior,Backend,Database design and management,75,Kotlin,121,Positive,7,6,340,4,2,85%,Low,Negative,90%
Mr. Richard Williams,Junior,Frontend,HTML/CSS markup,50,Bootstrap,22,Negative,20,2,125,6,4,50%,Low,Positive,30%
Sabrina Williams,Mid-Level,Backend,Data validation and sanitization,55,GraphQL,41,Neutral,18,7,194,1,4,70%,Medium,Positive,75%
Sabrina Williams,Senior,Machine Learning,Model deployment and serving,90,pandas,91,Negative,13,1,310,10,2,70%,High,Positive,95%
Sabrina Williams,Junior,Mobile,"Native mobile development (e.g., Swift, Kotlin)",40,Kotlin,16,Neutral,13,2,739,2,1,35%,Low,Positive,35%
Sabrina Williams,Senior,Machine Learning,Feature engineering,75,pandas,89,Positive,20,5,765,8,1,75%,High,Negative,70%
Sabrina Williams,Mid-Level,Frontend,Browser compatibility,75,Angular,50,Neutral,10,2,472,5,3,60%,High,Positive,40%
Sabrina Williams,Junior,DevOps,Infrastructure as Code,40,ELK Stack,22,Neutral,8,3,421,3,4,30%,High,Positive,45%
Sabrina Williams,Junior,Machine Learning,Model explainability and interpretability,30,Python,27,Neutral,17,9,334,1,1,50%,Low,Positive,40%
Sabrina Williams,Junior,Mobile,"Native mobile development (e.g., Swift, Kotlin)",45,Flutter,28,Positive,5,9,820,7,3,50%,Low,Positive,40%
Sabrina Williams,Mid-Level,Backend,Third-party integrations,55,PHP,41,Negative,14,7,407,4,3,75%,Low,Negative,40%
Sabrina Williams,Junior,Machine Learning,Data visualization,35,PyTorch,33,Neutral,16,2,141,6,3,45%,Low,Negative,50%
Sabrina Williams,Senior,Frontend,JavaScript/jQuery,75,JavaScript,78,Positive,15,9,309,0,3,80%,High,Positive,90%
Sabrina Williams,Mid-Level,Backend,Third-party integrations,70,C#,67,Negative,14,4,408,10,2,55%,Medium,Positive,70%
Sabrina Williams,Senior,Mobile,Mobile app UI/UX design,85,Flutter,75,Negative,6,7,356,0,5,90%,High,Positive,80%
Sabrina Williams,Senior,Machine Learning,Feature engineering,85,pandas,106,Negative,18,3,285,3,3,90%,Low,Negative,70%
Brian Klein DDS,Junior,DevOps,Performance optimization,35,Docker,1,Positive,11,7,338,3,3,35%,Medium,Negative,40%
Brian Klein DDS,Junior,DevOps,Automated testing and deployment pipelines,40,GitLab CI/CD,11,Positive,9,1,398,3,5,30%,High,Positive,45%
Brian Klein DDS,Senior,DevOps,Automated testing and deployment pipelines,70,Terraform,141,Positive,19,9,485,9,5,95%,Low,Positive,70%
Brian Klein DDS,Junior,Frontend,Responsive web design,50,Sass,9,Negative,13,5,399,7,3,40%,Medium,Negative,30%
Jason Woods,Senior,Mobile,Mobile app testing and debugging,90,NativeScript,104,Positive,17,4,498,4,4,60%,Medium,Positive,60%
Jason Woods,Mid-Level,Backend,Background processing/jobs,50,Scala,46,Neutral,9,1,743,6,1,70%,Low,Positive,50%
Jason Woods,Junior,Frontend,Form validation,40,Less,29,Positive,17,1,163,3,3,35%,Low,Negative,50%
Jason Woods,Mid-Level,DevOps,"Containerization (e.g., Docker)",55,GitLab CI/CD,57,Positive,17,2,492,1,5,40%,Low,Positive,45%
Jason Woods,Junior,Frontend,Browser compatibility,40,HTML,23,Negative,9,6,580,0,2,30%,High,Positive,50%
Jason Woods,Mid-Level,Frontend,"State management (e.g., Redux, Vuex)",55,Sass,47,Negative,12,9,756,8,1,80%,Medium,Negative,70%
Jason Woods,Mid-Level,Mobile,Mobile app UI/UX design,75,Flutter,41,Neutral,19,4,271,5,5,60%,Medium,Negative,40%
Jason Woods,Senior,Frontend,"State management (e.g., Redux, Vuex)",95,Vue.js,141,Positive,20,5,769,2,4,70%,Medium,Positive,70%
Jason Woods,Mid-Level,Mobile,Mobile app deployment to app stores,55,Xamarin,49,Negative,20,10,178,6,3,80%,Medium,Positive,60%
Jason Woods,Mid-Level,DevOps,"Orchestration (e.g., Kubernetes)",45,ELK Stack,47,Negative,18,7,641,8,4,75%,Low,Negative,55%
Jason Woods,Mid-Level,Backend,Websockets and real-time communication,70,Ruby,44,Negative,20,10,421,1,5,55%,High,Positive,80%
Jason Woods,Senior,Mobile,"Cross-platform mobile development (e.g., Flutter, React Native)",75,NativeScript,124,Neutral,9,8,632,5,3,90%,Medium,Positive,70%
Jason Woods,Mid-Level,Backend,RESTful services,55,Node.js,37,Positive,12,10,936,3,4,60%,Medium,Positive,55%
Jason Woods,Senior,Machine Learning,Supervised learning algorithms,85,Scikit-learn,133,Negative,18,8,649,3,4,60%,High,Negative,70%
Jason Woods,Mid-Level,DevOps,Server provisioning and configuration,50,Prometheus,62,Positive,16,4,479,6,4,55%,High,Positive,55%
Jason Woods,Senior,DevOps,Performance optimization,75,Ansible,86,Positive,6,10,323,5,5,95%,Medium,Negative,70%
Jason Woods,Junior,Mobile,Mobile app UI/UX design,35,NativeScript,7,Positive,20,9,576,3,2,50%,High,Negative,40%
Jason Woods,Junior,Frontend,Browser compatibility,45,React,28,Negative,15,8,640,0,5,50%,Low,Negative,35%
Jason Woods,Mid-Level,Backend,"Server-side programming (e.g., Python, Node.js)",80,Kotlin,41,Negative,5,10,916,6,5,45%,Medium,Positive,80%
Jason Woods,Mid-Level,Backend,Caching strategies,40,C#,46,Positive,6,2,520,8,5,60%,Low,Positive,55%
Jason Woods,Mid-Level,Mobile,Device compatibility,50,NativeScript,49,Negative,6,2,605,1,2,75%,Medium,Negative,60%
Jason Woods,Senior,Machine Learning,"Deep learning models (e.g., neural networks)",75,pandas,108,Neutral,9,5,501,2,1,75%,Low,Negative,75%
Jason Woods,Senior,DevOps,Automated testing and deployment pipelines,80,Terraform,84,Negative,15,7,372,2,1,85%,High,Negative,75%
Jason Woods,Junior,Frontend,Cross-platform development,30,Angular,13,Negative,11,3,591,4,1,30%,High,Negative,40%
Jason Woods,Junior,Frontend,Performance optimization,50,Webpack,26,Neutral,14,1,967,7,3,30%,Medium,Negative,30%
Jason Woods,Senior,DevOps,Performance optimization,70,ELK Stack,99,Negative,11,1,847,0,4,80%,Low,Positive,80%
Jason Woods,Senior,Machine Learning,"Deep learning models (e.g., neural networks)",75,Keras,89,Positive,14,3,873,6,1,60%,Medium,Positive,75%
Jason Woods,Senior,DevOps,Security and compliance,80,Docker,91,Neutral,17,1,416,9,1,90%,Low,Negative,70%
Jonathan Robinson,Mid-Level,Mobile,Push notifications,45,React Native,61,Positive,11,7,384,7,1,75%,Low,Negative,60%
Jonathan Robinson,Junior,Backend,Background processing/jobs,45,C#,20,Positive,5,10,528,8,3,50%,High,Positive,35%
Jonathan Robinson,Junior,Frontend,Browser compatibility,40,Bootstrap,8,Neutral,9,10,741,6,4,50%,High,Positive,35%
Jonathan Robinson,Junior,DevOps,Continuous Integration and Deployment (CI/CD),40,Prometheus,18,Positive,18,3,132,9,3,30%,Medium,Negative,45%
Jonathan Robinson,Junior,Machine Learning,Data visualization,30,NumPy,7,Positive,5,7,936,5,1,45%,Low,Negative,45%
Jonathan Robinson,Senior,Frontend,Form validation,95,Angular,95,Neutral,13,8,268,5,5,70%,Medium,Negative,85%
Jonathan Robinson,Mid-Level,Machine Learning,Model deployment and serving,80,pandas,50,Negative,9,9,382,8,2,55%,Low,Positive,70%
Jonathan Robinson,Junior,Backend,Websockets and real-time communication,30,C#,23,Positive,16,1,616,7,3,45%,Medium,Positive,40%
Jonathan Robinson,Junior,Mobile,Push notifications,50,NativeScript,28,Neutral,10,6,227,6,3,40%,Medium,Negative,35%
Jonathan Robinson,Mid-Level,Backend,Database design and management,75,Python,55,Neutral,15,10,941,6,5,60%,High,Positive,45%
Jonathan Robinson,Junior,Machine Learning,Data visualization,35,OpenCV,27,Neutral,19,9,740,6,3,45%,High,Positive,30%
Jonathan Robinson,Mid-Level,Machine Learning,Hyperparameter tuning,55,Python,71,Positive,15,7,832,5,2,70%,High,Positive,75%
Jonathan Robinson,Mid-Level,Frontend,User interface design,80,Sass,42,Positive,19,2,171,2,3,60%,High,Negative,80%
Jonathan Robinson,Junior,Mobile,Mobile app performance optimization,50,Flutter,18,Positive,8,7,488,4,1,30%,Low,Positive,40%
Larry Baker,Junior,Backend,API development,35,Scala,2,Neutral,10,4,105,7,4,40%,Medium,Positive,35%
Larry Baker,Junior,Machine Learning,Unsupervised learning algorithms,35,Keras,31,Positive,18,10,441,5,1,50%,Medium,Positive,45%
Larry Baker,Senior,Mobile,Mobile app performance optimization,80,PhoneGap,126,Negative,8,2,132,2,5,70%,High,Positive,85%
Larry Baker,Senior,Backend,Background processing/jobs,70,Java,125,Neutral,19,7,302,1,2,80%,Medium,Positive,85%
Larry Baker,Junior,Mobile,Mobile app testing and debugging,30,Kotlin,4,Negative,14,1,724,1,2,45%,Medium,Negative,40%
Larry Baker,Junior,DevOps,Performance optimization,35,Terraform,34,Neutral,12,6,354,5,5,50%,Low,Negative,40%
Larry Baker,Mid-Level,Mobile,Device compatibility,40,Xamarin,66,Neutral,9,7,772,5,3,40%,Medium,Positive,80%
Larry Baker,Senior,Machine Learning,Transfer learning,70,Scikit-learn,112,Neutral,17,5,454,4,4,90%,Medium,Positive,60%
Larry Baker,Senior,Frontend,HTML/CSS markup,80,HTML,141,Negative,6,5,154,1,4,70%,High,Positive,85%
Larry Baker,Junior,Frontend,Browser compatibility,50,Angular,36,Negative,20,3,804,7,5,50%,High,Negative,45%
Larry Baker,Senior,Machine Learning,Model deployment and serving,60,Scikit-learn,106,Positive,7,4,740,10,2,70%,High,Positive,75%
Larry Baker,Senior,Backend,RESTful services,95,Node.js,90,Positive,17,4,141,6,1,75%,Low,Negative,60%
Larry Baker,Senior,Frontend,"Frontend frameworks (e.g., React, Angular, Vue)",90,Sass,79,Positive,6,5,973,8,5,70%,Low,Negative,80%
Larry Baker,Mid-Level,Mobile,Mobile app UI/UX design,80,Swift,69,Negative,6,4,355,2,4,45%,Medium,Positive,75%
Larry Baker,Mid-Level,Mobile,"Native mobile development (e.g., Swift, Kotlin)",40,Flutter,52,Neutral,20,7,541,10,5,50%,High,Positive,45%
Larry Baker,Junior,DevOps,Continuous Integration and Deployment (CI/CD),45,Ansible,8,Negative,19,7,263,5,2,40%,Low,Negative,45%
Larry Baker,Mid-Level,Machine Learning,Hyperparameter tuning,60,pandas,70,Negative,16,1,756,9,3,75%,Low,Positive,40%
Larry Baker,Mid-Level,Backend,Authentication and authorization,55,Java,63,Neutral,7,7,725,5,2,40%,High,Positive,40%
Larry Baker,Mid-Level,DevOps,Monitoring and alerting,55,ELK Stack,57,Negative,7,1,626,0,4,60%,Low,Positive,60%
Larry Baker,Mid-Level,Frontend,Accessibility considerations,40,HTML,43,Positive,7,10,386,10,5,50%,Medium,Positive,70%
Larry Baker,Senior,DevOps,Server provisioning and configuration,85,Prometheus,131,Positive,10,3,679,6,4,70%,Low,Positive,60%
Jeffery Cooper,Senior,Machine Learning,Model training and evaluation,60,NumPy,77,Negative,7,3,957,2,2,95%,Low,Negative,85%
Jeffery Cooper,Mid-Level,DevOps,Monitoring and alerting,55,Jenkins,71,Negative,18,10,871,2,1,45%,High,Negative,40%
Jeffery Cooper,Mid-Level,Machine Learning,Computer Vision,60,PyTorch,60,Neutral,5,4,970,7,4,50%,Medium,Negative,60%
Jeffery Cooper,Senior,Mobile,Mobile app UI/UX design,95,PhoneGap,77,Positive,16,4,410,3,2,75%,High,Negative,90%
Jeffery Cooper,Junior,Backend,Database design and management,45,C#,14,Neutral,12,5,660,2,5,45%,Low,Negative,50%
Jeffery Cooper,Mid-Level,Frontend,AJAX and API integration,60,Sass,51,Neutral,17,6,180,2,2,50%,Medium,Positive,45%
Jeffery Cooper,Senior,Backend,Background processing/jobs,70,Kotlin,74,Positive,18,10,415,10,1,95%,High,Negative,60%
Jeffery Cooper,Junior,DevOps,Monitoring and alerting,35,ELK Stack,27,Negative,5,3,119,8,2,45%,Medium,Negative,40%
Jeffery Cooper,Senior,Mobile,"Native mobile development (e.g., Swift, Kotlin)",85,Kotlin,100,Neutral,16,5,892,7,5,75%,High,Positive,80%
Jeffery Cooper,Mid-Level,Mobile,"Cross-platform mobile development (e.g., Flutter, React Native)",75,Ionic,66,Negative,19,2,970,3,2,50%,Low,Positive,60%
Jeffery Cooper,Mid-Level,Frontend,Performance optimization,80,React,54,Positive,14,9,361,7,5,75%,Medium,Negative,55%
Jeffery Cooper,Mid-Level,Mobile,Mobile app UI/UX design,55,Kotlin,39,Negative,7,8,594,3,3,80%,High,Positive,80%
Jeffery Cooper,Senior,Machine Learning,Data visualization,75,pandas,115,Negative,17,2,503,10,4,95%,High,Positive,75%
Jeffery Cooper,Senior,Mobile,Offline data storage and synchronization,70,PhoneGap,111,Negative,13,2,438,9,4,85%,High,Negative,75%
Jeffery Cooper,Senior,Mobile,"Native mobile development (e.g., Swift, Kotlin)",75,Ionic,137,Negative,12,2,109,3,3,75%,Medium,Negative,85%
Jeffery Cooper,Junior,Frontend,Form validation,35,Vue.js,24,Neutral,19,7,476,3,3,50%,High,Negative,45%
Jeffery Cooper,Senior,Machine Learning,Transfer learning,60,pandas,91,Neutral,16,8,353,10,3,75%,High,Positive,70%
Jeffery Cooper,Junior,Mobile,Mobile app UI/UX design,35,PhoneGap,12,Negative,10,1,213,8,4,35%,High,Negative,30%
Jeffery Cooper,Senior,DevOps,Monitoring and alerting,75,ELK Stack,81,Negative,6,4,309,4,5,75%,Medium,Negative,60%
Jeffery Cooper,Senior,DevOps,Monitoring and alerting,70,Terraform,113,Positive,14,7,931,0,3,75%,Medium,Negative,75%
Jeffery Cooper,Senior,Mobile,Push notifications,75,PhoneGap,82,Positive,15,3,205,8,2,80%,Medium,Positive,90%
Steven Hicks,Junior,Backend,RESTful services,30,Scala,29,Neutral,19,4,814,3,2,30%,Low,Negative,50%
Steven Hicks,Junior,Frontend,Responsive web design,30,CSS,26,Positive,20,6,962,4,3,35%,High,Negative,35%
Steven Hicks,Mid-Level,DevOps,Automated testing and deployment pipelines,55,Terraform,47,Positive,20,1,196,9,4,80%,Low,Negative,45%
Steven Hicks,Mid-Level,DevOps,Automated testing and deployment pipelines,70,Docker,58,Positive,8,2,701,8,1,75%,Low,Positive,80%
Steven Hicks,Junior,Mobile,"Native mobile development (e.g., Swift, Kotlin)",35,Swift,23,Positive,7,10,415,7,2,40%,Low,Positive,50%
Steven Hicks,Senior,Backend,"Web framework (e.g., Django, Flask, Express.js)",95,Java,85,Positive,12,2,469,0,5,95%,High,Positive,60%
Steven Hicks,Junior,DevOps,Load balancing and scaling,35,Prometheus,2,Negative,11,5,801,2,3,30%,High,Positive,30%
Steven Hicks,Senior,Mobile,Mobile app testing and debugging,60,Swift,142,Positive,11,3,825,3,5,95%,Medium,Negative,75%
Steven Hicks,Junior,DevOps,"Orchestration (e.g., Kubernetes)",45,Docker,17,Positive,7,8,842,10,3,35%,Medium,Negative,50%
Alicia Smith,Mid-Level,Mobile,Push notifications,60,Swift,38,Neutral,14,6,174,1,1,50%,Medium,Negative,55%
Alicia Smith,Mid-Level,Frontend,Responsive web design,70,Less,59,Neutral,9,9,419,10,2,45%,Medium,Positive,55%
Alicia Smith,Senior,Machine Learning,Natural Language Processing (NLP),95,TensorFlow,104,Positive,16,10,458,8,5,80%,High,Positive,75%
Alicia Smith,Senior,Backend,"ORM/ODM (e.g., SQLAlchemy, Mongoose)",75,Java,137,Neutral,16,3,922,4,4,85%,High,Positive,85%
Alicia Smith,Junior,Backend,Scalability and performance optimization,40,Kotlin,7,Negative,15,1,823,0,4,35%,Low,Positive,40%
Alicia Smith,Senior,Frontend,Browser compatibility,95,Angular,83,Neutral,18,3,168,6,5,70%,Medium,Positive,60%
Alicia Smith,Mid-Level,Frontend,Component-based architecture,75,React,62,Positive,17,9,972,8,3,75%,Low,Negative,50%
Alicia Smith,Junior,DevOps,Security and compliance,40,ELK Stack,6,Neutral,12,7,386,6,2,40%,High,Negative,40%
Alicia Smith,Senior,Machine Learning,Computer Vision,85,Python,139,Neutral,11,7,996,9,2,80%,Medium,Negative,90%
Alicia Smith,Mid-Level,Backend,Third-party integrations,80,C#,68,Positive,5,6,643,1,1,70%,Medium,Negative,50%
Alicia Smith,Mid-Level,Machine Learning,Model explainability and interpretability,45,NumPy,47,Positive,13,3,755,4,1,75%,Medium,Negative,45%
Alicia Smith,Senior,DevOps,Monitoring and alerting,70,Kubernetes,79,Neutral,17,8,714,0,1,60%,High,Positive,60%
Alicia Smith,Senior,Backend,Caching strategies,85,Go,128,Negative,5,5,792,7,5,85%,Low,Positive,60%
Alicia Smith,Junior,Mobile,"Cross-platform mobile development (e.g., Flutter, React Native)",50,Xamarin,18,Negative,11,10,649,2,5,35%,High,Negative,45%
Valerie Harris,Senior,Mobile,"Native mobile development (e.g., Swift, Kotlin)",80,NativeScript,133,Negative,7,4,549,1,3,85%,High,Positive,75%
Valerie Harris,Senior,Mobile,Mobile app security,60,Ionic,131,Positive,16,6,421,8,2,85%,High,Positive,60%
Valerie Harris,Senior,Machine Learning,Model explainability and interpretability,90,NumPy,103,Positive,5,5,824,7,1,60%,High,Positive,85%
Valerie Harris,Senior,Mobile,Offline data storage and synchronization,60,Xamarin,133,Neutral,5,3,131,1,4,85%,Low,Negative,70%
Valerie Harris,Senior,Frontend,AJAX and API integration,90,Less,144,Negative,15,8,271,8,5,75%,High,Positive,60%
Valerie Harris,Junior,DevOps,Load balancing and scaling,35,Docker,5,Positive,15,5,823,7,5,35%,High,Positive,40%
Valerie Harris,Junior,Machine Learning,Transfer learning,40,PyTorch,4,Neutral,20,4,249,9,2,45%,High,Positive,30%
Valerie Harris,Junior,DevOps,Load balancing and scaling,35,Terraform,7,Positive,16,5,808,7,1,30%,High,Positive,35%
Valerie Harris,Mid-Level,DevOps,Monitoring and alerting,60,ELK Stack,44,Neutral,17,10,913,1,4,45%,Low,Positive,60%
Valerie Harris,Senior,Backend,Authentication and authorization,80,PHP,117,Negative,12,6,602,2,5,70%,High,Positive,75%
Valerie Harris,Mid-Level,DevOps,Log aggregation and analysis,60,Terraform,43,Positive,12,4,963,5,2,50%,High,Negative,75%
Valerie Harris,Junior,Frontend,User interface design,30,React,24,Positive,14,8,398,8,3,50%,Medium,Positive,50%
Valerie Harris,Junior,DevOps,Backup and disaster recovery,45,ELK Stack,26,Positive,11,3,227,8,4,40%,High,Positive,45%
Valerie Harris,Junior,DevOps,Infrastructure as Code,30,ELK Stack,25,Neutral,10,4,587,0,1,40%,Low,Negative,45%
Valerie Harris,Senior,Frontend,"Frontend frameworks (e.g., React, Angular, Vue)",80,HTML,134,Negative,19,8,512,3,1,70%,Medium,Negative,95%
Valerie Harris,Junior,Machine Learning,Model deployment and serving,30,NumPy,19,Positive,10,8,160,4,5,30%,Medium,Positive,30%
Karen Hood,Senior,Machine Learning,Feature engineering,60,Scikit-learn,130,Negative,20,10,294,7,1,70%,High,Negative,95%
Karen Hood,Senior,Machine Learning,Model training and evaluation,85,Scikit-learn,103,Positive,13,10,255,8,5,95%,High,Positive,95%
Karen Hood,Mid-Level,Backend,API development,50,Ruby,51,Neutral,12,2,864,6,3,75%,Low,Negative,80%
Karen Hood,Senior,Mobile,"Native mobile development (e.g., Swift, Kotlin)",80,PhoneGap,84,Positive,19,1,618,4,1,95%,Low,Positive,85%
Karen Hood,Senior,Frontend,Component-based architecture,75,React,87,Neutral,11,1,668,2,1,80%,High,Negative,75%
Karen Hood,Junior,Backend,Database design and management,45,Node.js,6,Neutral,7,4,200,10,2,50%,Medium,Positive,40%
Karen Hood,Mid-Level,Machine Learning,Model training and evaluation,45,Keras,57,Negative,13,6,205,9,5,75%,High,Negative,60%
Karen Hood,Junior,DevOps,Load balancing and scaling,40,ELK Stack,34,Negative,16,5,412,8,4,30%,Low,Positive,30%
Karen Hood,Mid-Level,Machine Learning,Supervised learning algorithms,45,Scikit-learn,56,Positive,17,3,514,7,2,80%,High,Positive,80%
Karen Hood,Junior,Machine Learning,Time series analysis,35,PyTorch,27,Negative,7,1,585,10,5,30%,Low,Positive,50%
Karen Hood,Junior,Mobile,Device compatibility,40,Swift,34,Negative,10,2,191,7,1,50%,Low,Negative,45%
Karen Hood,Senior,Backend,Websockets and real-time communication,60,Kotlin,121,Neutral,7,9,571,2,2,80%,Medium,Negative,95%
Karen Hood,Mid-Level,Machine Learning,Hyperparameter tuning,75,Scikit-learn,60,Negative,6,9,118,9,2,60%,Low,Negative,70%
Karen Hood,Junior,Mobile,"Cross-platform mobile development (e.g., Flutter, React Native)",45,React Native,23,Positive,18,8,116,7,3,40%,High,Negative,30%
Karen Hood,Senior,DevOps,Server provisioning and configuration,80,Ansible,76,Neutral,14,4,791,7,5,90%,Low,Negative,90%
Karen Hood,Senior,Backend,"Web framework (e.g., Django, Flask, Express.js)",90,Scala,140,Positive,11,2,389,2,5,90%,Low,Positive,95%
Karen Hood,Mid-Level,Machine Learning,Data preprocessing and cleaning,70,NumPy,43,Positive,18,4,835,4,3,75%,Low,Negative,50%
Karen Hood,Mid-Level,DevOps,"Cloud platforms (e.g., AWS, Azure, GCP)",50,Docker,42,Negative,12,10,909,6,5,60%,High,Positive,50%
Karen Hood,Junior,Frontend,AJAX and API integration,40,Sass,7,Neutral,13,2,189,0,3,40%,High,Negative,45%
Karen Hood,Junior,Backend,Database design and management,35,Ruby,25,Neutral,12,6,339,4,4,30%,High,Positive,50%
Karen Hood,Junior,Mobile,Mobile app testing and debugging,45,React Native,24,Positive,16,2,242,10,3,30%,High,Negative,40%
Anthony Franklin,Mid-Level,Frontend,Component-based architecture,80,HTML,46,Negative,9,1,444,2,3,50%,High,Positive,60%
Anthony Franklin,Mid-Level,Mobile,Offline data storage and synchronization,70,Flutter,71,Negative,20,5,767,3,1,60%,Medium,Positive,50%
Anthony Franklin,Mid-Level,DevOps,Server provisioning and configuration,75,Docker,48,Negative,19,1,815,8,2,70%,High,Negative,60%
Anthony Franklin,Mid-Level,DevOps,Infrastructure as Code,40,Terraform,39,Negative,19,9,511,1,4,60%,Low,Negative,45%
Anthony Franklin,Senior,DevOps,Server provisioning and configuration,85,Prometheus,140,Positive,12,8,549,10,2,90%,Low,Negative,95%
Anthony Franklin,Junior,DevOps,"Orchestration (e.g., Kubernetes)",35,Prometheus,36,Negative,8,6,587,1,1,35%,Low,Positive,30%
Anthony Franklin,Junior,Mobile,Mobile app testing and debugging,30,PhoneGap,30,Positive,10,8,122,7,2,50%,Low,Positive,40%
Anthony Franklin,Senior,DevOps,Load balancing and scaling,90,Jenkins,82,Positive,5,9,383,6,1,95%,Medium,Positive,85%
Anthony Franklin,Mid-Level,Frontend,User interface design,50,JavaScript,60,Negative,5,6,392,6,4,60%,High,Negative,50%
Anthony Franklin,Junior,Mobile,Mobile app UI/UX design,30,NativeScript,14,Positive,9,3,853,5,4,30%,High,Negative,40%
Anthony Franklin,Junior,Mobile,Offline data storage and synchronization,30,Ionic,29,Negative,9,4,673,1,4,30%,High,Positive,35%
Anthony Franklin,Senior,Backend,Third-party integrations,85,Node.js,103,Negative,6,10,990,4,2,90%,Medium,Positive,75%
Anthony Franklin,Junior,Machine Learning,Transfer learning,40,Keras,13,Positive,10,7,108,9,3,30%,Medium,Negative,45%
Anthony Franklin,Senior,DevOps,Continuous Integration and Deployment (CI/CD),60,Jenkins,133,Positive,6,4,714,5,1,95%,High,Positive,95%
Anthony Franklin,Senior,Frontend,Accessibility considerations,75,Webpack,118,Negative,16,9,383,8,3,60%,Medium,Negative,60%
Anthony Franklin,Junior,Machine Learning,Model training and evaluation,30,pandas,24,Positive,12,9,213,9,4,50%,Low,Negative,30%
Anthony Franklin,Junior,Backend,Third-party integrations,30,C#,25,Negative,6,2,302,5,2,30%,Medium,Negative,30%
Anthony Franklin,Junior,Backend,"ORM/ODM (e.g., SQLAlchemy, Mongoose)",45,GraphQL,29,Positive,12,8,153,8,5,40%,Medium,Negative,50%
Anthony Franklin,Junior,Backend,Security and encryption,35,Python,28,Positive,17,8,992,10,4,45%,Medium,Negative,45%
Anthony Franklin,Junior,DevOps,"Containerization (e.g., Docker)",30,Docker,34,Negative,17,9,318,4,4,35%,Medium,Positive,40%
Anthony Franklin,Junior,Backend,Caching strategies,45,Ruby,23,Negative,13,6,787,5,4,30%,High,Negative,35%
Anthony Franklin,Senior,Machine Learning,Reinforcement learning,80,TensorFlow,74,Negative,5,6,343,3,2,90%,Medium,Negative,60%
Anthony Franklin,Senior,DevOps,"Orchestration (e.g., Kubernetes)",90,Prometheus,111,Negative,12,2,602,5,2,80%,High,Positive,60%
Anthony Franklin,Mid-Level,Mobile,Mobile app security,50,Xamarin,46,Neutral,10,6,807,9,1,75%,Low,Positive,70%
Anthony Franklin,Senior,DevOps,"Orchestration (e.g., Kubernetes)",80,Ansible,111,Positive,20,1,976,6,3,75%,Medium,Positive,75%
Anthony Franklin,Junior,Machine Learning,Model explainability and interpretability,40,Scikit-learn,10,Neutral,15,10,510,7,2,40%,High,Positive,35%
Anthony Franklin,Mid-Level,Machine Learning,Model deployment and serving,70,pandas,66,Negative,16,5,815,1,3,70%,Low,Positive,45%
Amanda Williams,Junior,Machine Learning,Unsupervised learning algorithms,40,NumPy,15,Negative,18,9,817,4,1,50%,Medium,Negative,50%
Amanda Williams,Mid-Level,Frontend,HTML/CSS markup,60,JavaScript,61,Neutral,13,5,231,0,1,55%,High,Negative,55%
Amanda Williams,Junior,Mobile,"Cross-platform mobile development (e.g., Flutter, React Native)",35,Flutter,21,Positive,5,6,266,10,1,45%,Medium,Negative,40%
Amanda Williams,Junior,Machine Learning,Unsupervised learning algorithms,30,Scikit-learn,5,Neutral,6,4,319,0,4,40%,High,Negative,50%
Amanda Williams,Junior,Machine Learning,Model training and evaluation,45,Scikit-learn,13,Negative,10,10,727,7,3,50%,High,Positive,40%
Amanda Williams,Senior,DevOps,Performance optimization,95,Ansible,77,Neutral,12,10,674,7,2,75%,Medium,Positive,70%
Amanda Williams,Junior,Mobile,Mobile app UI/UX design,50,Flutter,36,Neutral,7,10,624,6,5,50%,Medium,Positive,45%
Amanda Williams,Mid-Level,DevOps,Backup and disaster recovery,60,GitLab CI/CD,48,Neutral,15,3,691,10,2,50%,Low,Positive,40%
Amanda Williams,Junior,Frontend,"State management (e.g., Redux, Vuex)",40,Sass,23,Positive,7,1,150,0,5,40%,Medium,Negative,35%
Amanda Williams,Senior,Machine Learning,Unsupervised learning algorithms,60,NumPy,134,Neutral,7,6,236,8,4,95%,High,Positive,70%
Amanda Williams,Senior,DevOps,Automated testing and deployment pipelines,90,Prometheus,81,Positive,17,6,109,10,1,80%,Low,Negative,85%
Amanda Williams,Junior,Machine Learning,Supervised learning algorithms,30,PyTorch,26,Neutral,13,5,632,1,1,35%,Low,Negative,30%
Amanda Williams,Senior,Backend,Data validation and sanitization,95,Kotlin,142,Neutral,18,9,801,2,3,85%,Medium,Positive,70%
Amanda Williams,Senior,Machine Learning,Data preprocessing and cleaning,70,OpenCV,138,Negative,11,5,165,2,2,85%,High,Positive,70%
Amanda Williams,Mid-Level,Mobile,"Native mobile development (e.g., Swift, Kotlin)",40,Swift,60,Positive,14,10,946,10,5,50%,Low,Negative,55%
Amanda Williams,Junior,Frontend,Cross-platform development,50,Sass,8,Neutral,16,3,866,4,2,45%,High,Negative,45%
Amanda Williams,Mid-Level,DevOps,Load balancing and scaling,70,Kubernetes,60,Positive,12,6,546,6,3,75%,High,Negative,60%
Amanda Williams,Mid-Level,Frontend,User interface design,70,Sass,52,Negative,9,7,598,4,4,45%,Low,Positive,80%
Amanda Williams,Junior,Frontend,"State management (e.g., Redux, Vuex)",35,Vue.js,3,Negative,20,5,918,9,1,40%,Low,Positive,45%
Amanda Williams,Mid-Level,Machine Learning,Model deployment and serving,80,Scikit-learn,68,Neutral,11,7,401,6,3,75%,Medium,Negative,55%
Amanda Williams,Mid-Level,Mobile,Mobile app deployment to app stores,80,Flutter,69,Positive,15,6,376,2,5,40%,Medium,Positive,40%
Amanda Williams,Mid-Level,Mobile,Mobile app testing and debugging,75,Swift,62,Neutral,12,9,259,9,2,40%,Medium,Positive,80%
Amanda Williams,Junior,Machine Learning,Computer Vision,45,TensorFlow,20,Negative,6,2,317,2,2,50%,Low,Positive,35%
Amanda Williams,Senior,DevOps,Backup and disaster recovery,75,Jenkins,129,Neutral,20,5,526,6,4,75%,Medium,Negative,85%
Amanda Williams,Mid-Level,DevOps,"Cloud platforms (e.g., AWS, Azure, GCP)",80,Jenkins,46,Neutral,8,9,256,4,1,80%,Medium,Negative,80%
Amanda Williams,Mid-Level,DevOps,"Cloud platforms (e.g., AWS, Azure, GCP)",55,ELK Stack,50,Neutral,17,5,292,1,4,80%,High,Positive,75%
Amanda Williams,Mid-Level,Frontend,Form validation,50,Sass,64,Positive,10,7,188,4,2,40%,Low,Positive,80%
Natalie Hebert MD,Senior,Mobile,Mobile app UI/UX design,95,Kotlin,95,Neutral,17,5,703,10,4,95%,Medium,Positive,60%
Natalie Hebert MD,Senior,Mobile,Device compatibility,85,Ionic,143,Neutral,16,7,517,3,3,90%,Medium,Positive,60%
Natalie Hebert MD,Mid-Level,Mobile,Mobile app security,60,NativeScript,58,Positive,16,3,754,5,1,80%,High,Positive,60%
Natalie Hebert MD,Junior,DevOps,"Containerization (e.g., Docker)",50,GitLab CI/CD,20,Neutral,7,8,853,4,2,50%,Medium,Positive,35%
Natalie Hebert MD,Junior,DevOps,Log aggregation and analysis,40,Prometheus,32,Neutral,9,10,637,6,2,30%,High,Positive,40%
Natalie Hebert MD,Junior,Frontend,JavaScript/jQuery,35,Webpack,34,Neutral,9,5,511,9,2,45%,Low,Positive,40%
Natalie Hebert MD,Junior,DevOps,Server provisioning and configuration,45,ELK Stack,10,Negative,6,6,154,7,5,40%,Medium,Positive,45%
Natalie Hebert MD,Senior,DevOps,Load balancing and scaling,90,Ansible,94,Neutral,9,7,158,10,1,85%,Low,Positive,90%
Natalie Hebert MD,Mid-Level,Mobile,Mobile app performance optimization,60,Kotlin,39,Negative,14,2,873,1,2,55%,Medium,Positive,45%
Natalie Hebert MD,Mid-Level,Machine Learning,Model training and evaluation,70,OpenCV,60,Positive,20,6,223,6,4,40%,High,Positive,40%
Natalie Hebert MD,Senior,Mobile,Mobile app security,90,React Native,104,Positive,13,6,463,6,2,75%,High,Negative,60%
Natalie Hebert MD,Mid-Level,Frontend,Browser compatibility,40,React,54,Positive,18,7,177,6,1,60%,Medium,Positive,60%
Natalie Hebert MD,Senior,Backend,"ORM/ODM (e.g., SQLAlchemy, Mongoose)",70,Node.js,90,Negative,12,6,780,5,4,75%,High,Negative,60%
Natalie Hebert MD,Junior,DevOps,Automated testing and deployment pipelines,40,Kubernetes,26,Positive,18,8,421,8,4,45%,High,Negative,50%
Natalie Hebert MD,Mid-Level,DevOps,Infrastructure as Code,40,Terraform,64,Neutral,6,1,683,2,4,45%,High,Negative,55%
Natalie Hebert MD,Junior,Frontend,Responsive web design,40,React,20,Positive,11,9,329,8,2,45%,Medium,Positive,40%
Natalie Hebert MD,Junior,Machine Learning,Natural Language Processing (NLP),40,NumPy,2,Positive,5,3,448,3,2,40%,Medium,Negative,30%
Natalie Hebert MD,Junior,Backend,Scalability and performance optimization,30,Scala,34,Positive,5,1,159,2,1,30%,High,Negative,50%
Natalie Hebert MD,Mid-Level,Machine Learning,Feature engineering,75,PyTorch,65,Negative,12,2,934,10,1,75%,Low,Positive,75%
Natalie Hebert MD,Senior,Frontend,"State management (e.g., Redux, Vuex)",90,JavaScript,130,Neutral,19,4,703,2,5,80%,High,Positive,80%
Natalie Hebert MD,Mid-Level,Machine Learning,Computer Vision,55,PyTorch,69,Negative,19,7,267,4,4,70%,Medium,Positive,70%
Natalie Hebert MD,Mid-Level,Machine Learning,Transfer learning,40,pandas,61,Neutral,9,5,887,5,4,50%,Medium,Positive,70%
Natalie Hebert MD,Mid-Level,DevOps,Automated testing and deployment pipelines,45,GitLab CI/CD,69,Negative,19,10,332,6,4,70%,High,Positive,80%
Natalie Hebert MD,Junior,Frontend,User interface design,50,Bootstrap,13,Positive,19,10,844,7,1,45%,High,Negative,45%
Natalie Hebert MD,Senior,Machine Learning,Computer Vision,70,Keras,134,Positive,13,9,223,5,5,60%,High,Positive,95%
Natalie Hebert MD,Mid-Level,Frontend,User interface design,50,JavaScript,56,Positive,16,1,253,0,5,55%,Low,Negative,55%
Natalie Hebert MD,Junior,Machine Learning,"Deep learning models (e.g., neural networks)",30,PyTorch,13,Negative,13,3,900,10,5,45%,High,Negative,35%
Natalie Hebert MD,Senior,DevOps,Server provisioning and configuration,60,Docker,101,Neutral,16,3,679,3,3,80%,High,Positive,80%
David Ward,Junior,DevOps,Security and compliance,50,Kubernetes,24,Positive,18,2,424,2,2,50%,High,Negative,45%
David Ward,Mid-Level,Mobile,Mobile app deployment to app stores,70,NativeScript,66,Negative,15,10,850,5,3,55%,Medium,Negative,55%
David Ward,Mid-Level,Backend,RESTful services,40,Python,62,Negative,17,8,781,4,2,60%,High,Negative,75%
David Ward,Senior,Backend,Websockets and real-time communication,80,Go,125,Negative,17,7,850,5,4,75%,High,Positive,70%
David Ward,Junior,Frontend,"State management (e.g., Redux, Vuex)",40,React,16,Positive,15,7,540,6,5,50%,High,Negative,35%
David Ward,Junior,Mobile,Push notifications,50,Flutter,11,Neutral,10,1,943,10,4,35%,Medium,Positive,30%
David Ward,Mid-Level,Machine Learning,Model deployment and serving,70,TensorFlow,40,Neutral,18,4,176,5,5,70%,High,Positive,55%
David Ward,Senior,Machine Learning,Natural Language Processing (NLP),60,PyTorch,98,Neutral,16,2,284,1,3,60%,Low,Positive,95%
David Ward,Senior,Mobile,"Cross-platform mobile development (e.g., Flutter, React Native)",95,NativeScript,76,Positive,7,5,529,9,4,75%,Low,Positive,80%
David Ward,Mid-Level,DevOps,Continuous Integration and Deployment (CI/CD),75,Jenkins,43,Neutral,13,5,497,4,3,40%,High,Positive,50%
David Ward,Senior,DevOps,Automated testing and deployment pipelines,95,Docker,79,Negative,12,1,741,5,4,80%,Low,Negative,95%
David Ward,Mid-Level,Mobile,Mobile app performance optimization,80,NativeScript,54,Negative,14,5,184,5,5,40%,Low,Negative,40%
David Ward,Senior,DevOps,Monitoring and alerting,60,Prometheus,87,Positive,18,2,374,1,1,75%,Low,Negative,80%
David Ward,Junior,Backend,Database design and management,40,GraphQL,22,Neutral,10,6,339,8,1,50%,Low,Positive,35%
David Ward,Junior,Frontend,Browser compatibility,30,Bootstrap,25,Neutral,11,7,249,9,2,40%,Medium,Positive,30%
David Ward,Senior,DevOps,Load balancing and scaling,70,Docker,143,Positive,15,8,351,0,5,80%,Low,Negative,95%
David Ward,Senior,DevOps,Performance optimization,85,Docker,99,Negative,14,8,469,2,2,95%,Medium,Negative,95%
David Ward,Mid-Level,DevOps,Automated testing and deployment pipelines,55,Kubernetes,65,Positive,17,8,678,8,3,75%,High,Positive,80%
David Ward,Mid-Level,DevOps,Security and compliance,55,Kubernetes,41,Negative,7,9,780,9,5,80%,High,Negative,70%
David Ward,Mid-Level,Machine Learning,Hyperparameter tuning,40,NumPy,51,Negative,13,5,621,2,4,70%,Low,Negative,75%
David Ward,Mid-Level,Mobile,Mobile app performance optimization,40,PhoneGap,46,Neutral,10,4,608,0,2,40%,Medium,Negative,45%
David Ward,Mid-Level,Backend,"ORM/ODM (e.g., SQLAlchemy, Mongoose)",55,Go,52,Negative,7,10,142,2,3,55%,Medium,Negative,75%
David Ward,Mid-Level,Backend,Scalability and performance optimization,75,Scala,71,Negative,5,1,231,9,3,55%,High,Negative,45%
David Ward,Junior,DevOps,Performance optimization,45,Ansible,9,Neutral,7,6,101,10,4,30%,Medium,Positive,30%
David Ward,Senior,DevOps,Backup and disaster recovery,75,Kubernetes,81,Positive,12,3,866,0,3,90%,Medium,Positive,85%
David Ward,Junior,Mobile,Mobile app UI/UX design,40,Kotlin,30,Neutral,11,6,115,4,3,35%,High,Negative,35%
David Ward,Junior,Machine Learning,Data visualization,40,Keras,36,Neutral,18,5,405,5,2,35%,Low,Negative,40%
Eric Ward,Junior,DevOps,Load balancing and scaling,30,Terraform,31,Positive,14,2,424,6,2,45%,Low,Negative,50%
Eric Ward,Junior,DevOps,Infrastructure as Code,35,Ansible,18,Neutral,11,10,528,8,1,40%,Low,Negative,35%
Eric Ward,Mid-Level,Machine Learning,Model training and evaluation,40,Keras,41,Negative,13,7,512,1,3,80%,High,Negative,40%
Eric Ward,Mid-Level,Mobile,Offline data storage and synchronization,80,Kotlin,72,Neutral,9,7,846,6,2,55%,Low,Positive,70%
Eric Ward,Mid-Level,DevOps,Security and compliance,50,Jenkins,41,Negative,15,7,375,5,1,40%,Low,Negative,55%
Eric Ward,Senior,DevOps,Log aggregation and analysis,85,Jenkins,131,Neutral,6,7,462,7,1,90%,Low,Negative,70%
Eric Ward,Mid-Level,Mobile,Mobile app performance optimization,50,Flutter,46,Negative,6,8,205,7,3,50%,Low,Positive,80%
Eric Ward,Mid-Level,Mobile,Mobile app deployment to app stores,60,React Native,46,Neutral,20,10,599,1,2,45%,Medium,Positive,75%
Michael Moore,Junior,DevOps,Security and compliance,35,Docker,2,Neutral,5,9,657,3,3,45%,Low,Negative,50%
Michael Moore,Junior,Backend,Database design and management,35,PHP,27,Positive,16,10,977,4,2,35%,High,Negative,45%
Michael Moore,Mid-Level,DevOps,Backup and disaster recovery,60,Terraform,39,Neutral,20,2,929,6,4,45%,High,Negative,60%
Michael Moore,Senior,DevOps,Continuous Integration and Deployment (CI/CD),75,Jenkins,134,Positive,12,10,414,5,3,85%,High,Positive,85%
Michael Moore,Senior,Frontend,JavaScript/jQuery,95,HTML,102,Negative,17,7,806,9,4,85%,High,Negative,70%
Michael Moore,Junior,Mobile,Mobile app performance optimization,35,Swift,16,Neutral,6,2,647,2,4,35%,Low,Negative,50%
Michael Moore,Junior,Frontend,"State management (e.g., Redux, Vuex)",30,Bootstrap,21,Neutral,7,8,518,5,1,35%,Low,Positive,35%
Michael Moore,Senior,Frontend,Performance optimization,95,Less,130,Negative,11,5,650,0,4,70%,High,Positive,80%
Michael Moore,Mid-Level,Backend,"Server-side programming (e.g., Python, Node.js)",60,Ruby,44,Negative,13,5,194,8,2,55%,Medium,Positive,55%
Michael Moore,Junior,Mobile,"Cross-platform mobile development (e.g., Flutter, React Native)",45,NativeScript,14,Negative,5,8,681,5,4,40%,Low,Positive,40%
Michael Moore,Senior,Backend,"Server-side programming (e.g., Python, Node.js)",95,Go,130,Neutral,8,2,630,8,1,85%,Medium,Negative,80%
Michael Moore,Junior,Mobile,"Native mobile development (e.g., Swift, Kotlin)",45,Ionic,29,Positive,15,10,471,9,4,50%,High,Negative,30%
Michael Moore,Junior,Mobile,Mobile app performance optimization,35,Flutter,27,Positive,12,5,965,8,3,35%,High,Negative,45%
Michael Moore,Senior,Frontend,HTML/CSS markup,95,Vue.js,142,Positive,11,7,142,10,3,80%,Medium,Negative,80%
Michael Moore,Junior,Mobile,"Cross-platform mobile development (e.g., Flutter, React Native)",35,NativeScript,20,Negative,6,6,208,3,3,35%,Low,Positive,40%
Michael Moore,Mid-Level,DevOps,Continuous Integration and Deployment (CI/CD),75,ELK Stack,68,Positive,17,2,907,2,1,50%,High,Negative,75%
Michael Moore,Junior,Frontend,Responsive web design,40,Less,18,Negative,19,5,938,6,1,45%,Medium,Negative,35%
Michael Moore,Senior,Backend,Database design and management,80,PHP,113,Neutral,16,5,353,7,5,90%,Medium,Positive,90%
Michael Moore,Mid-Level,Backend,API development,50,Go,65,Positive,16,7,416,1,4,60%,Medium,Positive,40%
Michael Moore,Junior,Mobile,Push notifications,40,Xamarin,25,Positive,18,2,609,9,2,45%,Medium,Negative,35%
Michael Moore,Mid-Level,Backend,API development,80,GraphQL,57,Positive,20,2,974,0,5,75%,Medium,Positive,70%
Michael Moore,Junior,Mobile,Mobile app testing and debugging,45,Kotlin,27,Neutral,9,4,293,7,2,35%,Low,Positive,30%
Michael Moore,Senior,Frontend,Form validation,85,Vue.js,76,Negative,17,6,251,6,5,70%,Medium,Negative,60%
Michael Moore,Junior,Backend,Security and encryption,50,Java,3,Neutral,19,9,421,1,1,40%,High,Negative,30%
Michael Moore,Junior,Frontend,Performance optimization,50,React,26,Neutral,16,9,711,5,2,40%,High,Positive,35%
Kathleen Walker,Junior,Machine Learning,Data visualization,45,NumPy,12,Neutral,15,7,481,0,1,30%,Medium,Positive,45%
Kathleen Walker,Mid-Level,Mobile,Mobile app deployment to app stores,50,Xamarin,58,Negative,10,3,641,3,4,75%,Medium,Negative,70%
Kathleen Walker,Mid-Level,Frontend,Form validation,60,Bootstrap,44,Neutral,8,3,198,1,4,45%,Low,Positive,40%
Kathleen Walker,Senior,DevOps,Continuous Integration and Deployment (CI/CD),85,Ansible,133,Neutral,18,4,855,5,2,90%,Low,Negative,85%
Kathleen Walker,Junior,Machine Learning,Reinforcement learning,35,NumPy,35,Neutral,11,10,505,7,2,35%,Medium,Negative,35%
Kathleen Walker,Junior,Machine Learning,Model explainability and interpretability,45,PyTorch,9,Positive,10,4,859,5,4,35%,High,Negative,40%
Kathleen Walker,Mid-Level,Mobile,Offline data storage and synchronization,40,Ionic,61,Neutral,6,7,972,8,2,60%,Low,Positive,70%
Kathleen Walker,Senior,Machine Learning,Data visualization,80,PyTorch,97,Negative,8,3,302,4,5,80%,High,Negative,70%
Kathleen Walker,Junior,Machine Learning,Time series analysis,30,OpenCV,4,Negative,6,6,562,8,1,45%,Low,Positive,50%
Kathleen Walker,Mid-Level,DevOps,Automated testing and deployment pipelines,80,Jenkins,67,Negative,12,1,316,3,3,60%,Medium,Positive,50%
Kathleen Walker,Mid-Level,Machine Learning,"Deep learning models (e.g., neural networks)",60,NumPy,52,Neutral,20,3,886,3,1,75%,High,Negative,75%
Kathleen Walker,Senior,Mobile,Mobile app testing and debugging,95,Kotlin,137,Negative,9,9,422,5,1,70%,Medium,Negative,75%
Kathleen Walker,Mid-Level,Backend,Security and encryption,40,PHP,43,Positive,5,8,261,4,5,45%,High,Positive,45%
Kathleen Walker,Mid-Level,Mobile,"Cross-platform mobile development (e.g., Flutter, React Native)",45,Xamarin,63,Positive,7,1,121,5,3,40%,Low,Positive,50%
Kathleen Walker,Mid-Level,Mobile,Mobile app performance optimization,40,NativeScript,71,Neutral,18,9,640,0,4,40%,Low,Negative,40%
Kathleen Walker,Junior,Frontend,"Frontend frameworks (e.g., React, Angular, Vue)",50,React,9,Neutral,15,7,879,10,2,45%,Low,Positive,30%
Kathleen Walker,Junior,Machine Learning,Unsupervised learning algorithms,40,PyTorch,27,Negative,9,3,341,9,1,45%,High,Negative,30%
Kathleen Walker,Senior,Machine Learning,Time series analysis,60,Keras,101,Positive,9,3,543,6,5,90%,Low,Positive,85%
Kathleen Walker,Junior,Mobile,Mobile app deployment to app stores,35,Flutter,35,Positive,11,2,293,4,1,50%,Low,Negative,35%
Kathleen Walker,Junior,Frontend,Component-based architecture,50,Vue.js,36,Neutral,14,1,436,2,1,50%,High,Negative,45%
Kathleen Walker,Senior,DevOps,Infrastructure as Code,95,Prometheus,137,Neutral,5,1,626,10,1,90%,Low,Negative,90%
Kathleen Walker,Mid-Level,DevOps,Backup and disaster recovery,75,Docker,40,Negative,16,2,233,8,3,70%,High,Negative,75%
Kathleen Walker,Mid-Level,Mobile,"Native mobile development (e.g., Swift, Kotlin)",70,NativeScript,42,Negative,6,2,704,0,1,70%,High,Negative,70%
Kathleen Walker,Junior,Backend,Background processing/jobs,45,Node.js,2,Neutral,18,6,618,4,1,50%,High,Negative,30%
Kathleen Walker,Junior,Mobile,Mobile app deployment to app stores,30,Ionic,2,Neutral,13,7,935,3,5,35%,High,Positive,40%
Raymond Drake,Junior,Mobile,Mobile app security,30,Swift,19,Negative,17,2,468,7,5,35%,Low,Positive,45%
Raymond Drake,Mid-Level,Mobile,Mobile app deployment to app stores,75,NativeScript,53,Neutral,10,10,144,8,4,70%,High,Positive,40%
Raymond Drake,Senior,Frontend,AJAX and API integration,95,React,116,Positive,8,2,439,7,4,70%,Medium,Negative,85%
Raymond Drake,Junior,Backend,"ORM/ODM (e.g., SQLAlchemy, Mongoose)",35,Go,4,Positive,19,6,462,0,4,40%,High,Positive,35%
Raymond Drake,Junior,DevOps,Automated testing and deployment pipelines,45,Ansible,25,Negative,17,4,464,7,1,40%,Medium,Negative,45%
Raymond Drake,Mid-Level,Mobile,Mobile app security,55,Ionic,47,Negative,8,3,237,9,3,45%,High,Positive,45%
Raymond Drake,Senior,Frontend,HTML/CSS markup,75,Sass,103,Negative,6,7,531,1,3,85%,High,Positive,60%
Raymond Drake,Senior,Backend,Database design and management,90,GraphQL,136,Neutral,13,5,313,1,2,80%,High,Positive,75%
Raymond Drake,Junior,Frontend,"Frontend frameworks (e.g., React, Angular, Vue)",50,Bootstrap,34,Neutral,8,1,589,0,2,50%,Medium,Positive,45%
Raymond Drake,Junior,Frontend,Component-based architecture,30,Sass,17,Negative,19,6,744,10,4,45%,Medium,Negative,40%
Raymond Drake,Junior,Machine Learning,Hyperparameter tuning,50,NumPy,9,Positive,19,9,138,5,5,50%,Low,Positive,35%
Raymond Drake,Mid-Level,DevOps,Automated testing and deployment pipelines,80,Ansible,44,Positive,20,5,464,10,4,40%,Low,Positive,75%
Victor Williams,Mid-Level,Mobile,Mobile app UI/UX design,60,Swift,42,Neutral,6,10,342,3,1,40%,Low,Positive,70%
Victor Williams,Mid-Level,Mobile,Mobile app security,60,PhoneGap,37,Positive,16,8,925,9,4,60%,High,Positive,45%
Victor Williams,Mid-Level,Backend,Database design and management,70,C#,51,Neutral,13,1,281,0,3,55%,Low,Negative,75%
Victor Williams,Mid-Level,Machine Learning,Supervised learning algorithms,60,Scikit-learn,67,Neutral,16,1,125,10,1,55%,High,Negative,60%
Victor Williams,Senior,Frontend,User interface design,60,React,97,Positive,11,7,344,5,3,60%,Low,Positive,80%
Julie Gilbert,Senior,Backend,Websockets and real-time communication,75,PHP,91,Positive,11,6,427,5,2,70%,Low,Negative,80%
Julie Gilbert,Mid-Level,Backend,RESTful services,60,Node.js,48,Negative,12,9,349,10,1,80%,Medium,Negative,75%
Julie Gilbert,Senior,Mobile,Mobile app security,90,Kotlin,80,Neutral,15,2,577,3,1,80%,Low,Negative,85%
Julie Gilbert,Mid-Level,DevOps,Load balancing and scaling,70,Jenkins,61,Negative,11,7,749,3,2,70%,High,Positive,80%
Julie Gilbert,Mid-Level,Frontend,Performance optimization,45,HTML,57,Positive,11,1,866,3,2,40%,High,Positive,75%
Julie Gilbert,Senior,Backend,Background processing/jobs,85,Go,78,Negative,9,3,383,0,5,90%,High,Positive,85%
Alexander Warren,Senior,Backend,Scalability and performance optimization,95,Python,110,Neutral,8,1,544,4,1,95%,High,Negative,85%
Alexander Warren,Junior,Frontend,Form validation,40,Bootstrap,23,Negative,15,3,710,2,2,35%,High,Negative,35%
Alexander Warren,Senior,Machine Learning,Model training and evaluation,75,PyTorch,91,Negative,9,8,676,6,2,60%,High,Negative,95%
Alexander Warren,Senior,Mobile,Mobile app security,85,Ionic,143,Neutral,6,5,719,8,1,60%,Low,Positive,95%
Alexander Warren,Mid-Level,Frontend,Component-based architecture,70,JavaScript,52,Positive,6,5,223,4,4,75%,High,Negative,40%
Alexander Warren,Senior,Frontend,Client-side routing,85,JavaScript,122,Negative,7,7,848,10,2,85%,Medium,Negative,75%
Alexander Warren,Mid-Level,DevOps,Server provisioning and configuration,50,Docker,68,Neutral,17,1,951,10,1,45%,High,Positive,40%
Alexander Warren,Mid-Level,Machine Learning,Data preprocessing and cleaning,55,Scikit-learn,64,Positive,16,7,539,6,2,55%,Low,Negative,55%
Alexander Warren,Mid-Level,Mobile,Push notifications,40,PhoneGap,43,Positive,13,6,856,7,5,75%,Low,Positive,45%
Alexander Warren,Junior,Machine Learning,Feature engineering,35,Python,29,Positive,8,7,907,2,4,30%,Low,Positive,35%
Alexander Warren,Senior,Mobile,Device compatibility,85,Xamarin,132,Positive,13,6,776,0,2,60%,Low,Negative,90%
Alexander Warren,Senior,Backend,Caching strategies,95,Node.js,105,Positive,16,5,773,4,5,75%,High,Negative,70%
Alexander Warren,Junior,Machine Learning,Model deployment and serving,35,pandas,23,Negative,18,3,167,4,1,40%,High,Positive,40%
Alexander Warren,Mid-Level,DevOps,"Containerization (e.g., Docker)",60,Prometheus,56,Positive,10,5,947,6,3,50%,Low,Negative,75%
Alexander Warren,Junior,Machine Learning,Transfer learning,50,NumPy,2,Positive,9,3,317,0,3,50%,Low,Negative,30%
Alexander Warren,Senior,Frontend,Accessibility considerations,60,HTML,121,Neutral,11,6,630,9,4,70%,Low,Negative,60%
Alexander Warren,Junior,Machine Learning,Reinforcement learning,45,OpenCV,34,Neutral,9,8,333,5,4,45%,High,Positive,40%
Alexander Warren,Senior,Mobile,Mobile app testing and debugging,60,Xamarin,123,Neutral,20,8,622,0,2,70%,Medium,Negative,90%
Alexander Warren,Senior,Machine Learning,Transfer learning,85,Python,141,Negative,20,2,121,4,1,95%,Low,Negative,60%
Alexander Warren,Junior,Mobile,Mobile app UI/UX design,50,Xamarin,31,Negative,17,5,351,3,1,30%,High,Negative,45%
Jason Oconnor,Mid-Level,DevOps,Log aggregation and analysis,55,GitLab CI/CD,49,Negative,12,2,417,1,2,50%,Low,Negative,40%
Jason Oconnor,Senior,Backend,"ORM/ODM (e.g., SQLAlchemy, Mongoose)",90,Ruby,94,Positive,15,7,562,1,1,85%,Low,Positive,80%
Jason Oconnor,Senior,Mobile,Mobile app UI/UX design,80,React Native,81,Positive,9,3,875,4,4,90%,High,Positive,70%
Jason Oconnor,Junior,Frontend,AJAX and API integration,35,React,19,Neutral,19,4,864,3,5,45%,Medium,Negative,30%
Jason Oconnor,Junior,Backend,Websockets and real-time communication,50,Python,27,Neutral,8,4,772,1,4,50%,Low,Negative,35%
Jason Oconnor,Senior,Machine Learning,Natural Language Processing (NLP),90,Scikit-learn,144,Negative,15,2,528,0,1,80%,High,Positive,85%
Jason Oconnor,Senior,Machine Learning,Computer Vision,60,Scikit-learn,97,Neutral,14,6,278,2,2,70%,Low,Negative,75%
Jason Oconnor,Senior,Machine Learning,Model explainability and interpretability,85,Keras,135,Positive,8,6,121,4,4,80%,Low,Positive,85%
Jason Oconnor,Junior,Backend,Third-party integrations,50,Scala,35,Negative,20,9,183,0,4,35%,Medium,Negative,35%
Jason Oconnor,Junior,Backend,"Server-side programming (e.g., Python, Node.js)",30,Ruby,28,Positive,15,8,264,3,1,30%,Medium,Negative,30%
Jason Oconnor,Senior,DevOps,Automated testing and deployment pipelines,60,GitLab CI/CD,131,Positive,7,2,242,4,1,60%,Low,Positive,75%
Jason Oconnor,Senior,Backend,Data validation and sanitization,60,Ruby,119,Positive,18,4,895,7,4,85%,Low,Negative,85%
Jason Oconnor,Senior,DevOps,Monitoring and alerting,60,Jenkins,78,Neutral,15,10,532,7,5,90%,High,Positive,90%
Jason Oconnor,Senior,Mobile,Offline data storage and synchronization,85,Kotlin,120,Neutral,19,7,766,9,5,70%,Low,Negative,95%
Jason Oconnor,Senior,DevOps,"Containerization (e.g., Docker)",60,Jenkins,113,Neutral,5,6,651,6,5,75%,High,Negative,80%
Jason Oconnor,Senior,Mobile,Mobile app performance optimization,85,Swift,143,Neutral,18,1,457,6,1,90%,Low,Negative,70%
Jennifer Davis,Junior,DevOps,Security and compliance,30,Kubernetes,22,Neutral,6,1,876,5,1,50%,High,Positive,40%
Jennifer Davis,Junior,DevOps,Continuous Integration and Deployment (CI/CD),30,GitLab CI/CD,28,Neutral,15,6,245,0,4,45%,Medium,Positive,45%
Jennifer Davis,Mid-Level,Machine Learning,"Deep learning models (e.g., neural networks)",45,TensorFlow,39,Neutral,18,7,774,2,5,75%,Low,Negative,55%
Jennifer Davis,Mid-Level,DevOps,Server provisioning and configuration,45,Jenkins,50,Negative,10,6,673,6,2,55%,High,Negative,70%
Jennifer Davis,Junior,Machine Learning,Feature engineering,30,NumPy,31,Positive,12,2,905,8,1,40%,High,Positive,40%
Jennifer Davis,Mid-Level,Mobile,Offline data storage and synchronization,80,Kotlin,46,Positive,9,4,928,5,4,60%,Low,Positive,80%
Cassie Hernandez,Junior,Frontend,Cross-platform development,50,JavaScript,11,Positive,9,7,154,7,5,40%,High,Negative,35%
Cassie Hernandez,Junior,Mobile,"Native mobile development (e.g., Swift, Kotlin)",50,Xamarin,3,Neutral,7,7,862,9,2,30%,Medium,Positive,35%
Cassie Hernandez,Junior,Frontend,Component-based architecture,35,HTML,36,Negative,12,5,293,3,3,50%,High,Negative,30%
Cassie Hernandez,Junior,Frontend,Client-side routing,30,Angular,6,Negative,16,5,942,1,4,50%,Medium,Positive,45%
Cassie Hernandez,Junior,Backend,RESTful services,40,Kotlin,33,Positive,5,3,808,3,4,30%,Medium,Positive,35%
Cassie Hernandez,Mid-Level,DevOps,Monitoring and alerting,80,Jenkins,39,Positive,15,8,383,6,1,40%,Medium,Negative,70%
Cindy Burke,Mid-Level,Backend,Database design and management,80,Node.js,56,Positive,6,5,457,9,4,55%,Low,Positive,80%
Cindy Burke,Senior,DevOps,Backup and disaster recovery,90,Kubernetes,105,Neutral,18,9,510,0,1,85%,Medium,Positive,70%
Cindy Burke,Senior,Machine Learning,Model training and evaluation,70,OpenCV,121,Neutral,6,5,591,6,3,75%,Medium,Positive,95%
Cindy Burke,Mid-Level,Mobile,Device compatibility,50,Swift,59,Positive,20,9,807,6,2,80%,High,Positive,55%
Cindy Burke,Senior,Frontend,AJAX and API integration,80,CSS,93,Negative,7,2,332,10,4,60%,Low,Positive,85%
Cindy Burke,Senior,Frontend,Component-based architecture,90,JavaScript,143,Neutral,7,10,470,4,1,60%,Medium,Negative,70%
Cindy Burke,Mid-Level,Machine Learning,Hyperparameter tuning,55,TensorFlow,57,Neutral,15,9,247,3,3,70%,High,Positive,75%
Cindy Burke,Mid-Level,Backend,"Server-side programming (e.g., Python, Node.js)",55,Kotlin,46,Neutral,5,7,846,7,4,40%,Low,Positive,75%
Cindy Burke,Senior,Backend,"Server-side programming (e.g., Python, Node.js)",70,Python,96,Positive,11,4,649,3,1,80%,Low,Positive,90%
Cindy Burke,Senior,Frontend,Component-based architecture,95,Sass,143,Positive,7,7,580,7,4,95%,Medium,Negative,60%
Cindy Burke,Junior,Mobile,Mobile app deployment to app stores,45,Flutter,15,Positive,13,10,887,3,5,45%,Medium,Negative,50%
Cindy Burke,Junior,Machine Learning,Unsupervised learning algorithms,40,PyTorch,2,Negative,8,9,244,1,3,35%,Low,Positive,40%
Cindy Burke,Senior,Backend,Security and encryption,95,PHP,110,Positive,20,8,865,6,3,60%,Medium,Positive,85%
Cindy Burke,Senior,Frontend,AJAX and API integration,75,Bootstrap,82,Positive,15,3,665,7,1,80%,Medium,Positive,75%
Cindy Burke,Senior,Backend,Security and encryption,90,Node.js,81,Positive,11,3,968,0,4,80%,High,Positive,95%
Cindy Burke,Senior,Backend,RESTful services,70,Scala,122,Neutral,19,9,706,2,3,75%,Low,Negative,80%
Cindy Burke,Senior,Backend,"Web framework (e.g., Django, Flask, Express.js)",85,Java,119,Neutral,9,9,151,3,3,70%,Low,Positive,80%
Paula Wood,Junior,Machine Learning,Transfer learning,35,PyTorch,4,Positive,9,7,539,3,2,45%,High,Positive,45%
Paula Wood,Senior,Mobile,Mobile app performance optimization,85,Xamarin,82,Neutral,13,10,656,6,3,85%,High,Negative,85%
Paula Wood,Senior,Machine Learning,Reinforcement learning,90,NumPy,109,Neutral,8,7,302,5,2,60%,High,Negative,70%
Paula Wood,Senior,Mobile,"Native mobile development (e.g., Swift, Kotlin)",70,Flutter,122,Negative,15,2,412,0,2,95%,Medium,Negative,80%
Paula Wood,Mid-Level,Machine Learning,Data preprocessing and cleaning,70,Keras,64,Neutral,6,1,942,0,5,55%,Medium,Positive,80%
Paula Wood,Junior,Frontend,JavaScript/jQuery,45,Webpack,4,Positive,17,1,258,5,5,40%,High,Positive,50%
Paula Wood,Junior,Frontend,Performance optimization,35,CSS,28,Positive,17,1,885,6,4,45%,Low,Positive,50%
Paula Wood,Mid-Level,DevOps,Security and compliance,40,Docker,46,Positive,5,6,465,4,4,45%,High,Negative,40%
Paula Wood,Mid-Level,Frontend,Cross-platform development,75,Sass,52,Neutral,16,4,264,5,2,60%,Low,Negative,80%
Paula Wood,Mid-Level,Backend,Caching strategies,70,Go,55,Negative,18,10,665,9,4,80%,Medium,Positive,60%
Paula Wood,Junior,DevOps,Performance optimization,50,Kubernetes,12,Negative,17,8,408,1,1,40%,High,Negative,35%
Paula Wood,Junior,Backend,"ORM/ODM (e.g., SQLAlchemy, Mongoose)",45,GraphQL,2,Neutral,17,7,406,2,3,40%,Low,Positive,35%
Paula Wood,Mid-Level,Machine Learning,Model explainability and interpretability,50,Scikit-learn,56,Negative,13,6,491,8,4,55%,Low,Positive,50%
Paula Wood,Mid-Level,Mobile,Mobile app UI/UX design,70,Kotlin,61,Positive,18,1,848,0,3,80%,Medium,Positive,45%
Paula Wood,Junior,DevOps,Log aggregation and analysis,35,ELK Stack,11,Neutral,17,5,942,9,1,50%,Low,Positive,40%
Paula Wood,Mid-Level,Machine Learning,Data visualization,40,Scikit-learn,55,Neutral,8,3,960,10,5,60%,Low,Positive,45%
Amy Taylor,Mid-Level,Machine Learning,Time series analysis,75,Keras,46,Neutral,12,4,705,8,4,75%,Medium,Negative,40%
Amy Taylor,Junior,Machine Learning,Model explainability and interpretability,50,OpenCV,34,Negative,7,4,588,0,1,45%,Low,Negative,30%
Amy Taylor,Senior,Machine Learning,"Deep learning models (e.g., neural networks)",95,Python,80,Positive,15,5,388,10,5,85%,Medium,Positive,70%
Amy Taylor,Senior,Machine Learning,Unsupervised learning algorithms,80,PyTorch,99,Positive,8,6,108,4,3,95%,High,Negative,90%
Amy Taylor,Mid-Level,DevOps,Infrastructure as Code,70,Terraform,46,Neutral,15,4,185,1,1,60%,Medium,Positive,75%
Amy Taylor,Senior,Backend,Scalability and performance optimization,80,PHP,112,Negative,14,6,872,7,3,60%,Medium,Positive,60%
Amy Taylor,Mid-Level,DevOps,"Cloud platforms (e.g., AWS, Azure, GCP)",70,Jenkins,41,Neutral,9,4,650,8,4,45%,Medium,Positive,45%
Amy Taylor,Junior,Machine Learning,Model explainability and interpretability,30,Scikit-learn,14,Negative,19,5,344,0,4,30%,High,Negative,35%
Amy Taylor,Junior,Backend,Websockets and real-time communication,30,C#,15,Negative,13,1,387,3,5,30%,Low,Positive,35%
Amy Taylor,Mid-Level,Machine Learning,Unsupervised learning algorithms,75,Scikit-learn,61,Positive,18,10,210,9,3,75%,Low,Negative,40%
Amy Taylor,Senior,Machine Learning,Model explainability and interpretability,90,Keras,113,Positive,6,2,132,2,1,85%,Low,Negative,70%
Amy Taylor,Mid-Level,DevOps,Security and compliance,75,Ansible,56,Neutral,18,3,474,8,1,45%,Low,Negative,40%
Amy Taylor,Senior,Frontend,User interface design,75,Angular,82,Negative,19,10,380,10,2,95%,Low,Positive,95%
Amy Taylor,Senior,Backend,Data validation and sanitization,70,Go,91,Negative,12,3,764,7,3,80%,Medium,Positive,70%
Amy Taylor,Mid-Level,DevOps,Continuous Integration and Deployment (CI/CD),45,GitLab CI/CD,55,Positive,10,2,136,1,3,45%,Low,Positive,70%
Amy Taylor,Senior,Backend,Caching strategies,95,Scala,105,Positive,9,2,393,0,3,85%,High,Positive,90%
Amy Taylor,Mid-Level,Backend,Background processing/jobs,75,Kotlin,47,Neutral,8,6,636,9,3,50%,Low,Negative,80%
Amy Taylor,Junior,DevOps,Performance optimization,30,Ansible,25,Positive,19,5,338,5,2,50%,Low,Positive,50%
Amy Taylor,Junior,Frontend,User interface design,50,JavaScript,10,Neutral,6,6,831,7,1,30%,Low,Negative,40%
Christopher Cortez,Mid-Level,Backend,Websockets and real-time communication,80,Node.js,62,Negative,14,6,547,8,4,70%,High,Positive,40%
Christopher Cortez,Junior,Backend,"ORM/ODM (e.g., SQLAlchemy, Mongoose)",35,Ruby,33,Positive,17,4,938,9,1,50%,Medium,Positive,45%
Christopher Cortez,Senior,DevOps,"Containerization (e.g., Docker)",85,Prometheus,95,Positive,11,9,954,10,5,85%,Low,Negative,90%
Christopher Cortez,Senior,Backend,Websockets and real-time communication,80,Kotlin,144,Negative,12,10,573,3,3,70%,Low,Positive,70%
Christopher Cortez,Mid-Level,DevOps,Log aggregation and analysis,45,Jenkins,46,Positive,15,7,334,3,5,45%,Low,Negative,75%
Christopher Cortez,Mid-Level,DevOps,"Cloud platforms (e.g., AWS, Azure, GCP)",50,Terraform,37,Positive,10,3,186,1,1,60%,High,Negative,50%
Christopher Cortez,Junior,Frontend,"Frontend frameworks (e.g., React, Angular, Vue)",40,Vue.js,10,Neutral,8,1,819,5,5,30%,High,Positive,50%
Christopher Cortez,Junior,Machine Learning,Feature engineering,50,Scikit-learn,29,Neutral,18,6,265,9,5,30%,Medium,Positive,30%
Christopher Cortez,Junior,Mobile,Mobile app deployment to app stores,50,Kotlin,28,Neutral,18,1,698,4,5,40%,Medium,Negative,40%
Christopher Cortez,Senior,DevOps,Continuous Integration and Deployment (CI/CD),60,Prometheus,99,Positive,8,4,708,2,1,60%,High,Negative,90%
David Winters,Senior,Backend,RESTful services,85,Node.js,115,Neutral,9,10,603,8,5,75%,Medium,Positive,60%
David Winters,Senior,Mobile,Mobile app testing and debugging,60,React Native,112,Negative,11,10,623,8,2,70%,Low,Negative,70%
David Winters,Senior,DevOps,Infrastructure as Code,95,GitLab CI/CD,129,Positive,20,7,856,6,3,85%,Low,Positive,70%
David Winters,Senior,Mobile,Mobile app performance optimization,60,Xamarin,96,Positive,13,2,435,6,3,80%,Medium,Positive,80%
David Winters,Junior,Backend,Third-party integrations,50,Kotlin,4,Neutral,8,7,679,1,4,40%,Medium,Negative,40%
David Winters,Mid-Level,Machine Learning,Feature engineering,55,Keras,47,Negative,6,1,684,0,2,45%,High,Negative,70%
David Winters,Senior,Mobile,Push notifications,70,NativeScript,131,Negative,9,3,973,7,4,85%,High,Positive,95%
David Winters,Junior,Machine Learning,Reinforcement learning,35,Scikit-learn,35,Negative,8,4,103,1,1,45%,Medium,Negative,40%
David Winters,Senior,Backend,API development,60,Node.js,143,Positive,7,10,124,7,2,60%,Low,Positive,95%
David Winters,Senior,Machine Learning,Model deployment and serving,75,TensorFlow,125,Neutral,10,10,282,3,5,95%,High,Positive,95%
David Winters,Junior,Backend,Security and encryption,30,PHP,15,Positive,16,2,452,6,2,50%,Low,Positive,50%
David Winters,Senior,Frontend,Accessibility considerations,90,Less,134,Neutral,5,3,514,6,5,80%,Medium,Positive,75%
David Winters,Mid-Level,Frontend,Accessibility considerations,80,Bootstrap,63,Neutral,17,8,483,0,3,55%,Medium,Negative,75%
David Winters,Mid-Level,Mobile,"Native mobile development (e.g., Swift, Kotlin)",80,Flutter,41,Positive,8,1,238,9,4,55%,Low,Positive,40%
David Winters,Mid-Level,Machine Learning,Unsupervised learning algorithms,80,PyTorch,70,Positive,18,8,960,0,4,40%,Medium,Negative,45%
David Winters,Junior,Backend,Websockets and real-time communication,45,Ruby,30,Neutral,10,9,576,6,3,30%,Medium,Negative,40%
David Winters,Senior,Mobile,Mobile app deployment to app stores,60,NativeScript,137,Negative,10,8,814,0,3,70%,High,Negative,75%
David Winters,Junior,Mobile,Push notifications,35,Swift,22,Negative,7,1,389,1,1,30%,Low,Negative,45%
David Winters,Mid-Level,Machine Learning,Transfer learning,80,OpenCV,47,Positive,17,3,261,7,1,55%,High,Positive,55%
David Winters,Junior,Backend,RESTful services,35,Java,1,Positive,20,3,261,1,4,45%,High,Negative,35%
David Winters,Senior,Machine Learning,Data visualization,60,NumPy,130,Neutral,15,1,114,2,1,75%,High,Positive,75%
David Winters,Mid-Level,DevOps,Continuous Integration and Deployment (CI/CD),45,Jenkins,60,Negative,15,3,871,5,2,50%,Low,Negative,45%
David Winters,Junior,Frontend,User interface design,35,Angular,24,Neutral,14,8,473,7,2,30%,Medium,Negative,35%
David Winters,Mid-Level,Machine Learning,Model explainability and interpretability,70,Keras,68,Positive,6,1,891,3,4,80%,Low,Positive,50%
David Winters,Senior,DevOps,"Cloud platforms (e.g., AWS, Azure, GCP)",60,Terraform,81,Positive,14,3,233,1,3,80%,Medium,Negative,70%
David Winters,Senior,Frontend,Component-based architecture,95,Less,105,Positive,8,1,623,9,5,90%,High,Positive,75%
David Winters,Senior,Mobile,Offline data storage and synchronization,80,Flutter,75,Negative,16,5,646,5,5,85%,Medium,Negative,60%
David Winters,Senior,Frontend,User interface design,90,React,102,Neutral,14,10,451,8,3,70%,High,Negative,85%
David Winters,Mid-Level,DevOps,Security and compliance,40,Terraform,46,Negative,5,10,742,1,4,75%,Medium,Negative,80%
Russell Boyd,Mid-Level,Backend,Security and encryption,55,PHP,41,Neutral,16,3,888,7,4,60%,High,Positive,50%
Russell Boyd,Mid-Level,Machine Learning,Feature engineering,75,TensorFlow,65,Positive,8,7,142,8,5,70%,Medium,Negative,75%
Russell Boyd,Mid-Level,Frontend,HTML/CSS markup,50,Less,72,Neutral,13,5,561,7,2,75%,Medium,Negative,55%
Russell Boyd,Junior,Backend,"Web framework (e.g., Django, Flask, Express.js)",30,GraphQL,14,Neutral,14,1,398,2,2,45%,High,Positive,40%
Russell Boyd,Mid-Level,Machine Learning,Hyperparameter tuning,80,NumPy,55,Neutral,16,1,723,2,1,45%,Medium,Negative,75%
Russell Boyd,Junior,Frontend,Accessibility considerations,50,Sass,30,Negative,11,7,881,6,4,40%,Low,Negative,50%
Russell Boyd,Senior,Backend,Security and encryption,60,Python,98,Neutral,6,4,263,3,1,95%,High,Negative,60%
Russell Boyd,Junior,Backend,Database design and management,40,Kotlin,21,Negative,16,9,692,1,5,50%,High,Positive,45%
Russell Boyd,Junior,Machine Learning,Model training and evaluation,45,Keras,34,Neutral,20,4,734,10,3,35%,Low,Negative,40%
Russell Boyd,Senior,DevOps,Performance optimization,70,Terraform,74,Neutral,11,2,773,10,3,60%,Low,Positive,95%
Russell Boyd,Mid-Level,Mobile,Mobile app security,75,PhoneGap,70,Positive,12,2,352,6,1,40%,Medium,Positive,50%
Russell Boyd,Mid-Level,Frontend,Component-based architecture,80,Webpack,71,Positive,17,5,702,1,3,70%,High,Negative,50%
Russell Boyd,Junior,Frontend,"State management (e.g., Redux, Vuex)",45,Angular,14,Neutral,16,5,500,0,3,45%,Low,Negative,30%
Russell Boyd,Senior,Frontend,User interface design,85,JavaScript,88,Neutral,15,3,723,5,4,60%,High,Negative,60%
Russell Boyd,Junior,Mobile,Mobile app security,50,PhoneGap,4,Neutral,10,7,491,9,3,45%,Low,Positive,45%
Russell Boyd,Mid-Level,Mobile,Push notifications,45,Ionic,55,Neutral,10,9,656,3,4,70%,Low,Negative,55%
Russell Boyd,Junior,Mobile,Offline data storage and synchronization,40,React Native,34,Neutral,19,4,897,6,3,40%,Medium,Positive,45%
Russell Boyd,Junior,Backend,Database design and management,35,Python,12,Neutral,9,8,797,1,3,30%,Medium,Positive,50%
Russell Boyd,Junior,Machine Learning,Time series analysis,40,NumPy,10,Negative,19,2,256,0,3,50%,Low,Positive,45%
Russell Boyd,Mid-Level,Frontend,JavaScript/jQuery,70,Bootstrap,70,Neutral,13,10,984,8,1,50%,Medium,Positive,40%
Russell Boyd,Senior,Machine Learning,Time series analysis,60,Scikit-learn,123,Positive,20,5,133,5,4,95%,Medium,Negative,75%
Russell Boyd,Senior,Frontend,AJAX and API integration,85,Less,130,Negative,5,6,166,9,5,75%,High,Negative,70%
Russell Boyd,Junior,Backend,Security and encryption,35,C#,12,Negative,9,4,674,0,5,45%,Low,Negative,40%
Russell Boyd,Junior,Mobile,Mobile app security,50,PhoneGap,1,Positive,14,1,154,8,1,35%,High,Negative,35%
Russell Boyd,Junior,DevOps,"Orchestration (e.g., Kubernetes)",50,Terraform,7,Neutral,12,3,792,4,5,45%,Medium,Negative,50%
Russell Boyd,Junior,Frontend,Client-side routing,45,Webpack,21,Negative,6,10,469,1,5,50%,Low,Positive,40%
Russell Boyd,Mid-Level,Mobile,"Native mobile development (e.g., Swift, Kotlin)",70,NativeScript,48,Negative,19,10,156,4,2,55%,Low,Positive,60%
Russell Boyd,Mid-Level,Machine Learning,Unsupervised learning algorithms,55,PyTorch,50,Positive,8,9,844,4,2,75%,Low,Negative,70%
Russell Boyd,Mid-Level,Backend,"ORM/ODM (e.g., SQLAlchemy, Mongoose)",75,C#,61,Positive,5,1,535,5,4,50%,Medium,Positive,75%
Russell Boyd,Junior,Mobile,"Native mobile development (e.g., Swift, Kotlin)",45,React Native,3,Positive,5,6,625,9,1,45%,Low,Positive,30%
Jason Abbott,Senior,Backend,Scalability and performance optimization,60,C#,90,Positive,17,10,544,2,1,70%,Medium,Positive,80%
Jason Abbott,Mid-Level,Machine Learning,Model explainability and interpretability,75,pandas,46,Positive,19,5,739,9,5,45%,Medium,Positive,75%
Jason Abbott,Mid-Level,DevOps,Continuous Integration and Deployment (CI/CD),50,GitLab CI/CD,49,Negative,5,1,794,5,3,55%,Low,Negative,60%
Jason Abbott,Junior,Machine Learning,Model explainability and interpretability,30,Python,16,Positive,9,1,296,5,5,30%,Low,Positive,50%
Jason Abbott,Mid-Level,Backend,RESTful services,60,PHP,37,Positive,12,1,770,9,5,50%,Medium,Negative,50%
Jason Abbott,Senior,DevOps,Server provisioning and configuration,80,Prometheus,107,Neutral,20,9,880,8,3,85%,Low,Negative,85%
Jason Abbott,Senior,Mobile,Mobile app testing and debugging,85,PhoneGap,123,Positive,17,7,273,4,4,90%,Medium,Negative,75%
Jason Abbott,Mid-Level,Mobile,Mobile app deployment to app stores,70,PhoneGap,55,Negative,18,9,644,9,3,80%,Medium,Positive,70%
Jason Abbott,Junior,Mobile,Mobile app testing and debugging,40,Xamarin,22,Positive,11,2,974,3,2,50%,Low,Positive,35%
Jason Abbott,Senior,Frontend,Accessibility considerations,75,Less,111,Positive,19,9,742,1,5,85%,High,Positive,95%
Jason Abbott,Senior,DevOps,"Cloud platforms (e.g., AWS, Azure, GCP)",95,Kubernetes,96,Neutral,6,8,167,6,2,80%,High,Positive,90%
Jason Abbott,Mid-Level,Machine Learning,Reinforcement learning,70,Python,58,Positive,18,4,127,7,5,75%,High,Positive,55%
Jason Abbott,Junior,Backend,Third-party integrations,45,PHP,20,Negative,5,9,652,9,4,40%,Medium,Negative,35%
Jason Abbott,Mid-Level,DevOps,"Cloud platforms (e.g., AWS, Azure, GCP)",50,Prometheus,44,Positive,19,5,898,7,5,55%,High,Positive,80%
Jason Abbott,Mid-Level,Machine Learning,Computer Vision,75,Keras,61,Positive,16,2,957,10,5,70%,Medium,Negative,60%
Jason Abbott,Junior,DevOps,Infrastructure as Code,40,ELK Stack,12,Positive,19,1,487,1,4,35%,Low,Negative,40%
Jason Abbott,Mid-Level,Machine Learning,Feature engineering,40,OpenCV,50,Negative,8,9,478,7,2,55%,High,Positive,60%
Jason Abbott,Mid-Level,Backend,Security and encryption,60,C#,59,Negative,12,2,224,8,3,75%,Medium,Positive,80%
Jason Abbott,Junior,Backend,Database design and management,35,Python,30,Neutral,18,1,834,2,3,40%,Low,Negative,40%
Jason Abbott,Senior,Machine Learning,Model deployment and serving,95,NumPy,106,Negative,5,6,310,10,4,70%,Medium,Positive,60%
Jason Abbott,Junior,Backend,Authentication and authorization,45,Ruby,6,Neutral,11,7,301,4,1,45%,Low,Negative,30%
Sara Chavez,Senior,Frontend,Accessibility considerations,60,HTML,134,Positive,11,7,514,10,2,95%,High,Positive,85%
Sara Chavez,Junior,Machine Learning,Reinforcement learning,30,NumPy,23,Neutral,12,1,768,10,3,30%,Medium,Negative,40%
Sara Chavez,Senior,Machine Learning,Unsupervised learning algorithms,70,PyTorch,130,Negative,18,1,951,8,1,60%,High,Positive,80%
Sara Chavez,Junior,Frontend,Performance optimization,40,Sass,7,Positive,20,9,405,10,3,30%,Medium,Positive,35%
Sara Chavez,Mid-Level,Machine Learning,Hyperparameter tuning,70,Scikit-learn,67,Positive,11,8,107,1,3,45%,Medium,Positive,75%
Sara Chavez,Senior,Machine Learning,Supervised learning algorithms,85,Python,102,Positive,7,3,189,2,1,80%,Low,Positive,85%
Sara Chavez,Mid-Level,Backend,Authentication and authorization,75,Go,54,Positive,16,5,146,6,4,50%,Low,Positive,40%
Sara Chavez,Mid-Level,Frontend,AJAX and API integration,45,Sass,55,Positive,5,1,438,2,4,50%,Medium,Positive,50%
Sara Chavez,Junior,Mobile,Mobile app performance optimization,45,PhoneGap,36,Neutral,10,2,980,5,4,50%,High,Positive,30%
Sara Chavez,Mid-Level,Backend,"Web framework (e.g., Django, Flask, Express.js)",80,Python,45,Positive,19,2,582,5,5,50%,High,Negative,50%
Sara Chavez,Senior,Backend,RESTful services,75,Java,137,Negative,15,6,164,2,2,70%,High,Positive,70%
Sara Chavez,Senior,Mobile,Mobile app security,95,NativeScript,132,Positive,18,6,959,1,4,80%,Medium,Positive,60%
Sara Chavez,Junior,Machine Learning,Unsupervised learning algorithms,30,TensorFlow,13,Positive,15,10,302,6,5,40%,Medium,Negative,45%
Sara Chavez,Mid-Level,Backend,API development,40,Scala,44,Negative,12,8,842,9,1,80%,Low,Negative,45%
Sara Chavez,Junior,Backend,Background processing/jobs,40,GraphQL,26,Neutral,7,1,861,2,1,35%,Medium,Positive,35%
Sara Chavez,Junior,DevOps,Load balancing and scaling,30,Terraform,25,Negative,9,6,577,4,2,45%,High,Negative,35%
Sara Chavez,Mid-Level,DevOps,"Orchestration (e.g., Kubernetes)",45,Docker,56,Positive,17,5,656,6,2,45%,Medium,Positive,70%
Sara Chavez,Senior,DevOps,Monitoring and alerting,80,Jenkins,77,Negative,19,8,499,10,1,75%,High,Negative,70%
Matthew Owen,Mid-Level,Backend,"Server-side programming (e.g., Python, Node.js)",80,C#,38,Positive,9,5,210,0,4,80%,High,Positive,45%
Matthew Owen,Junior,Backend,Security and encryption,45,PHP,11,Negative,7,6,339,0,2,35%,High,Negative,30%
Matthew Owen,Mid-Level,Machine Learning,Hyperparameter tuning,55,NumPy,66,Neutral,10,2,971,7,5,70%,Low,Positive,40%
Matthew Owen,Junior,DevOps,Security and compliance,35,Terraform,32,Negative,7,6,377,0,1,50%,High,Negative,40%
Matthew Owen,Senior,Machine Learning,Time series analysis,70,NumPy,120,Positive,5,9,557,10,4,60%,Medium,Positive,95%
Matthew Owen,Mid-Level,Mobile,Push notifications,45,PhoneGap,66,Positive,19,9,435,5,2,40%,Low,Positive,75%
Matthew Owen,Junior,Mobile,Push notifications,50,Flutter,11,Positive,13,9,472,7,1,50%,Low,Positive,35%
Matthew Owen,Junior,Backend,Background processing/jobs,40,Python,33,Neutral,7,5,927,5,2,35%,Medium,Positive,30%
Matthew Owen,Mid-Level,Frontend,AJAX and API integration,45,Angular,65,Negative,18,4,364,9,2,80%,Low,Positive,70%
Matthew Owen,Mid-Level,Backend,Data validation and sanitization,40,Scala,72,Negative,15,9,897,1,1,45%,Low,Negative,80%
Matthew Owen,Mid-Level,Mobile,Mobile app performance optimization,60,Ionic,70,Positive,9,5,928,0,3,40%,High,Negative,60%
Matthew Owen,Mid-Level,Mobile,Mobile app performance optimization,50,Flutter,48,Positive,16,10,394,0,1,80%,Medium,Positive,80%
Matthew Owen,Junior,Mobile,Offline data storage and synchronization,50,Flutter,11,Neutral,10,4,743,3,4,50%,Medium,Positive,40%
Matthew Owen,Mid-Level,Mobile,Push notifications,80,NativeScript,68,Positive,11,2,444,3,2,60%,Medium,Positive,40%
Kristina Cobb,Junior,DevOps,"Cloud platforms (e.g., AWS, Azure, GCP)",45,ELK Stack,26,Negative,15,2,687,1,5,50%,High,Positive,30%
Kristina Cobb,Mid-Level,Mobile,Offline data storage and synchronization,55,React Native,47,Positive,20,8,262,8,3,75%,Low,Positive,50%
Kristina Cobb,Junior,Backend,Security and encryption,50,Go,31,Positive,9,2,178,1,2,40%,Medium,Positive,50%
Kristina Cobb,Mid-Level,Machine Learning,Computer Vision,40,NumPy,70,Neutral,9,5,289,10,2,70%,High,Negative,70%
Kristina Cobb,Junior,Machine Learning,Hyperparameter tuning,45,Python,15,Positive,18,4,751,6,4,45%,High,Negative,35%
Kristina Cobb,Junior,Backend,Authentication and authorization,50,Scala,14,Positive,10,7,601,2,4,40%,High,Negative,35%
Kristina Cobb,Junior,Frontend,Browser compatibility,45,Vue.js,25,Positive,14,3,200,1,1,50%,Medium,Negative,50%
Kristina Cobb,Junior,Backend,Scalability and performance optimization,45,Go,4,Negative,10,3,367,8,3,40%,Medium,Negative,40%
Kristina Cobb,Senior,Machine Learning,Supervised learning algorithms,90,Keras,129,Neutral,13,3,474,10,2,85%,Medium,Positive,70%
Kristina Cobb,Junior,Backend,Database design and management,30,Go,35,Positive,11,5,915,9,2,50%,Medium,Positive,50%
Kristina Cobb,Mid-Level,Backend,Third-party integrations,45,Node.js,64,Neutral,14,10,145,4,1,60%,Low,Negative,70%
Kristina Cobb,Senior,DevOps,Security and compliance,85,Ansible,121,Positive,12,1,649,1,2,90%,High,Negative,80%
Kristina Cobb,Senior,Mobile,Mobile app testing and debugging,60,Xamarin,96,Positive,12,10,934,7,4,60%,Low,Positive,70%
Kristina Cobb,Junior,DevOps,"Containerization (e.g., Docker)",45,Ansible,16,Neutral,19,2,272,6,4,30%,Medium,Positive,30%
Kristina Cobb,Senior,Frontend,Responsive web design,80,CSS,77,Positive,12,4,959,7,1,80%,High,Positive,95%
Kristina Cobb,Mid-Level,Machine Learning,Time series analysis,60,OpenCV,71,Positive,14,2,634,2,5,45%,Low,Negative,75%
Kristina Cobb,Mid-Level,Machine Learning,Data visualization,75,OpenCV,39,Negative,7,8,172,1,3,40%,High,Negative,60%
Kristina Cobb,Junior,Machine Learning,Data visualization,35,NumPy,19,Neutral,12,4,546,5,1,50%,Medium,Positive,45%
Kristina Cobb,Mid-Level,Backend,API development,60,Java,72,Neutral,7,4,742,8,4,50%,High,Positive,40%
Kristina Cobb,Junior,Machine Learning,Model explainability and interpretability,45,NumPy,17,Positive,20,8,758,3,1,30%,Medium,Negative,40%
Kristina Cobb,Junior,Backend,Background processing/jobs,40,C#,1,Neutral,19,10,256,9,5,30%,Low,Positive,45%
Kristina Cobb,Senior,DevOps,"Containerization (e.g., Docker)",95,Docker,81,Positive,6,9,986,4,5,75%,Low,Negative,95%
Kristina Cobb,Senior,Mobile,Mobile app deployment to app stores,60,React Native,120,Negative,12,6,733,2,5,85%,High,Negative,60%
Kristina Cobb,Mid-Level,Mobile,Push notifications,55,Flutter,48,Positive,15,5,381,8,1,75%,Low,Positive,75%
Kristina Cobb,Senior,Backend,Scalability and performance optimization,80,Ruby,119,Negative,20,2,445,9,5,60%,Medium,Negative,70%
Kristina Cobb,Senior,DevOps,"Cloud platforms (e.g., AWS, Azure, GCP)",70,Prometheus,134,Positive,8,1,657,3,2,95%,Medium,Negative,70%
Kristina Cobb,Junior,DevOps,Performance optimization,45,Ansible,32,Negative,7,3,657,7,3,50%,Medium,Negative,45%
Shirley Flores,Senior,Frontend,Cross-platform development,70,Less,75,Neutral,10,4,153,6,4,60%,Medium,Positive,75%
Shirley Flores,Senior,Machine Learning,Computer Vision,70,pandas,137,Negative,8,4,819,5,4,90%,Low,Positive,95%
Shirley Flores,Junior,Frontend,Browser compatibility,30,HTML,16,Neutral,7,1,527,0,2,40%,High,Positive,50%
Shirley Flores,Senior,Frontend,Accessibility considerations,90,Less,80,Positive,8,5,458,2,3,60%,Low,Positive,60%
Shirley Flores,Mid-Level,DevOps,"Cloud platforms (e.g., AWS, Azure, GCP)",50,Terraform,50,Neutral,5,4,715,7,4,55%,Low,Negative,75%
Shirley Flores,Senior,Backend,API development,70,Node.js,89,Neutral,13,9,326,6,3,90%,High,Positive,80%
Shirley Flores,Mid-Level,Mobile,"Native mobile development (e.g., Swift, Kotlin)",75,Flutter,40,Negative,13,1,416,6,5,45%,High,Negative,55%
Shirley Flores,Junior,Backend,"ORM/ODM (e.g., SQLAlchemy, Mongoose)",45,Python,22,Negative,16,8,322,0,5,50%,Low,Positive,30%
Shirley Flores,Senior,Machine Learning,Feature engineering,70,OpenCV,85,Positive,7,6,885,7,4,95%,Low,Positive,75%
Shirley Flores,Mid-Level,Frontend,Accessibility considerations,55,Sass,54,Negative,14,6,602,7,3,40%,High,Negative,80%
Shirley Flores,Mid-Level,Frontend,Responsive web design,45,Angular,39,Neutral,9,4,891,6,1,70%,High,Negative,75%
Shirley Flores,Mid-Level,Frontend,HTML/CSS markup,40,Bootstrap,54,Negative,16,10,515,6,5,40%,High,Positive,40%
Shirley Flores,Senior,Backend,Scalability and performance optimization,80,Ruby,141,Positive,16,3,588,7,1,85%,Medium,Negative,70%
Shirley Flores,Junior,Machine Learning,Model deployment and serving,30,TensorFlow,23,Negative,20,7,670,1,3,40%,Medium,Negative,45%
Shirley Flores,Junior,Frontend,User interface design,40,HTML,7,Negative,12,5,665,2,2,45%,High,Negative,30%
Shirley Flores,Mid-Level,Backend,"Web framework (e.g., Django, Flask, Express.js)",75,GraphQL,44,Neutral,20,9,247,1,5,60%,Low,Negative,60%
Shirley Flores,Senior,Backend,Database design and management,95,Node.js,89,Negative,7,5,213,9,1,75%,Medium,Positive,80%
Shirley Flores,Mid-Level,Backend,Third-party integrations,75,Python,41,Negative,18,3,338,1,1,75%,Low,Positive,40%
Shirley Flores,Senior,Mobile,"Cross-platform mobile development (e.g., Flutter, React Native)",80,Flutter,116,Negative,17,4,338,4,3,70%,Medium,Negative,95%
Shirley Flores,Senior,DevOps,Automated testing and deployment pipelines,95,ELK Stack,86,Neutral,13,9,359,5,1,75%,High,Negative,85%
Shirley Flores,Junior,Mobile,Mobile app performance optimization,30,Xamarin,11,Negative,14,2,120,8,3,35%,High,Positive,50%
Shirley Flores,Junior,DevOps,"Cloud platforms (e.g., AWS, Azure, GCP)",30,Kubernetes,4,Negative,14,7,357,9,2,40%,Low,Negative,30%
Kathleen Wilkerson,Senior,Machine Learning,Natural Language Processing (NLP),95,Scikit-learn,87,Negative,5,4,556,4,4,70%,High,Negative,90%
Kathleen Wilkerson,Mid-Level,Frontend,Form validation,40,HTML,37,Positive,11,5,573,8,5,55%,Low,Positive,75%
Kathleen Wilkerson,Junior,Mobile,Mobile app security,50,Ionic,8,Neutral,11,1,519,1,3,45%,Low,Positive,30%
Kathleen Wilkerson,Senior,Machine Learning,Reinforcement learning,80,NumPy,129,Negative,17,1,158,8,2,95%,Medium,Negative,90%
Kathleen Wilkerson,Junior,Mobile,Mobile app security,40,PhoneGap,10,Positive,19,4,777,6,3,50%,Low,Negative,40%
Kathleen Wilkerson,Junior,Backend,"Web framework (e.g., Django, Flask, Express.js)",35,Node.js,24,Neutral,14,2,231,3,5,50%,Medium,Positive,45%
Kathleen Wilkerson,Senior,DevOps,Load balancing and scaling,95,GitLab CI/CD,83,Neutral,9,6,669,4,5,80%,Low,Positive,95%
Kathleen Wilkerson,Mid-Level,DevOps,Log aggregation and analysis,45,Kubernetes,63,Positive,18,7,754,4,1,60%,High,Positive,50%
Kathleen Wilkerson,Senior,Machine Learning,Model training and evaluation,60,PyTorch,117,Negative,19,6,683,6,3,70%,Low,Positive,85%
Kathleen Wilkerson,Mid-Level,DevOps,Log aggregation and analysis,55,ELK Stack,62,Positive,7,3,275,8,4,45%,Low,Positive,60%
Danielle Garcia,Senior,Machine Learning,Transfer learning,85,NumPy,125,Neutral,20,7,828,1,3,70%,Low,Negative,80%
Danielle Garcia,Mid-Level,DevOps,Log aggregation and analysis,40,Kubernetes,62,Neutral,5,1,827,1,1,55%,High,Positive,50%
Danielle Garcia,Mid-Level,Machine Learning,Unsupervised learning algorithms,70,pandas,68,Neutral,12,8,204,4,3,80%,Medium,Negative,55%
Danielle Garcia,Mid-Level,DevOps,Infrastructure as Code,50,Docker,69,Neutral,13,7,625,2,4,40%,High,Negative,45%
Danielle Garcia,Senior,DevOps,"Containerization (e.g., Docker)",80,Prometheus,78,Positive,19,8,340,4,3,90%,High,Positive,90%
Richard Miller,Senior,DevOps,Backup and disaster recovery,70,GitLab CI/CD,122,Neutral,5,10,757,6,4,95%,High,Negative,70%
Richard Miller,Senior,Backend,Security and encryption,85,Kotlin,96,Neutral,19,5,704,0,2,85%,Low,Negative,60%
Richard Miller,Mid-Level,Backend,"ORM/ODM (e.g., SQLAlchemy, Mongoose)",40,Ruby,52,Positive,12,9,663,3,3,60%,Low,Negative,45%
Richard Miller,Junior,Mobile,Offline data storage and synchronization,35,Kotlin,31,Neutral,10,8,174,9,1,35%,High,Positive,35%
Richard Miller,Senior,Backend,"Web framework (e.g., Django, Flask, Express.js)",80,Go,137,Positive,9,10,977,5,5,75%,Low,Positive,70%
Richard Miller,Mid-Level,Machine Learning,Model training and evaluation,45,Scikit-learn,39,Neutral,8,4,404,1,1,70%,Low,Positive,40%
Richard Miller,Senior,DevOps,Infrastructure as Code,90,ELK Stack,82,Negative,8,5,351,8,3,95%,Medium,Negative,85%
Richard Miller,Junior,DevOps,Infrastructure as Code,30,Prometheus,15,Positive,20,9,904,4,3,30%,Medium,Negative,45%
Richard Miller,Mid-Level,DevOps,Performance optimization,75,Kubernetes,46,Neutral,18,10,671,0,5,60%,Medium,Positive,75%
Richard Miller,Mid-Level,Backend,Data validation and sanitization,50,PHP,41,Neutral,15,5,604,7,3,50%,Low,Positive,75%
Richard Miller,Senior,Frontend,Form validation,60,Sass,105,Neutral,12,8,408,5,4,85%,Medium,Positive,90%
Richard Miller,Senior,Machine Learning,Natural Language Processing (NLP),70,NumPy,122,Positive,16,2,404,0,1,75%,Medium,Positive,85%
Richard Miller,Senior,Mobile,Mobile app testing and debugging,85,Xamarin,109,Negative,10,9,680,9,3,75%,Medium,Positive,95%
Richard Miller,Junior,DevOps,Infrastructure as Code,30,Ansible,27,Negative,14,2,411,5,4,40%,Medium,Negative,50%
Richard Miller,Senior,Frontend,Accessibility considerations,95,JavaScript,124,Neutral,9,8,122,1,4,70%,High,Positive,90%
Richard Miller,Senior,DevOps,Security and compliance,90,Ansible,138,Negative,16,7,408,1,2,80%,Low,Negative,80%
Richard Miller,Junior,Frontend,User interface design,50,Webpack,26,Negative,6,7,502,1,4,45%,Low,Positive,35%
Richard Miller,Mid-Level,DevOps,Infrastructure as Code,80,Prometheus,50,Neutral,11,1,593,0,5,70%,High,Negative,75%
Richard Miller,Senior,Machine Learning,Hyperparameter tuning,90,Keras,114,Negative,6,5,831,3,1,60%,Low,Negative,85%
Richard Miller,Senior,Mobile,Mobile app UI/UX design,80,React Native,118,Negative,9,8,755,9,2,80%,Medium,Positive,95%
Richard Miller,Junior,Backend,Scalability and performance optimization,45,C#,17,Positive,19,1,577,2,2,50%,Low,Negative,40%
Richard Miller,Senior,Frontend,Accessibility considerations,90,Webpack,77,Positive,13,10,562,6,3,80%,Medium,Positive,80%
Richard Miller,Junior,DevOps,Continuous Integration and Deployment (CI/CD),50,Kubernetes,26,Neutral,14,7,558,9,1,40%,Low,Negative,30%
Richard Miller,Mid-Level,Machine Learning,Natural Language Processing (NLP),70,Keras,67,Negative,20,8,344,5,1,80%,Medium,Negative,40%
Richard Miller,Senior,Machine Learning,Data visualization,90,pandas,127,Positive,20,3,741,7,1,70%,Medium,Positive,60%
Richard Miller,Senior,DevOps,Security and compliance,85,GitLab CI/CD,78,Neutral,7,7,423,6,5,70%,High,Positive,95%
Jennifer Smith,Mid-Level,Machine Learning,Data preprocessing and cleaning,75,TensorFlow,59,Neutral,18,2,620,3,4,45%,Medium,Negative,70%
Jennifer Smith,Senior,DevOps,Performance optimization,60,Prometheus,116,Positive,15,10,979,7,2,95%,High,Positive,90%
Jennifer Smith,Mid-Level,Backend,Authentication and authorization,50,Kotlin,53,Negative,17,2,599,6,5,60%,Low,Negative,50%
Jennifer Smith,Senior,Machine Learning,Hyperparameter tuning,60,Python,124,Neutral,12,10,447,8,4,75%,High,Negative,60%
Jennifer Smith,Junior,Frontend,Client-side routing,40,Vue.js,24,Positive,16,3,882,1,1,35%,High,Negative,50%
Jennifer Smith,Senior,Frontend,Browser compatibility,80,CSS,127,Negative,16,6,528,0,2,85%,Medium,Positive,70%
Jennifer Smith,Senior,Backend,Database design and management,80,PHP,85,Negative,16,2,579,6,4,90%,Low,Negative,60%
Jennifer Smith,Senior,Backend,Authentication and authorization,75,C#,103,Positive,9,2,320,2,1,90%,Low,Positive,75%
Jennifer Smith,Mid-Level,Mobile,Push notifications,60,Swift,62,Neutral,6,6,400,1,1,80%,Low,Negative,80%
Jennifer Smith,Junior,Backend,API development,35,Go,21,Positive,8,2,599,6,2,45%,Low,Negative,45%
Jennifer Smith,Junior,DevOps,Performance optimization,30,Kubernetes,36,Positive,19,9,767,7,2,50%,Medium,Positive,40%
Jennifer Smith,Mid-Level,Frontend,"State management (e.g., Redux, Vuex)",55,Less,61,Neutral,12,3,600,4,2,70%,High,Negative,80%
Jennifer Smith,Senior,Backend,Database design and management,90,Go,131,Negative,14,7,147,2,5,60%,High,Negative,70%
Jennifer Smith,Junior,DevOps,Load balancing and scaling,35,Kubernetes,2,Negative,13,9,789,5,5,35%,High,Negative,30%
Jennifer Smith,Mid-Level,Mobile,Mobile app security,55,Flutter,62,Positive,20,3,926,10,1,40%,Low,Negative,50%
Jennifer Smith,Senior,Frontend,Accessibility considerations,75,Webpack,103,Positive,19,7,182,4,3,70%,High,Negative,85%
Jennifer Smith,Junior,Mobile,Device compatibility,35,Ionic,30,Negative,16,5,356,9,2,50%,Low,Positive,45%
Jennifer Smith,Senior,Machine Learning,Time series analysis,95,NumPy,95,Positive,16,2,576,6,3,90%,High,Positive,95%
Jennifer Smith,Junior,Mobile,Device compatibility,45,PhoneGap,5,Negative,14,10,325,4,4,35%,Medium,Positive,35%
Jennifer Smith,Mid-Level,Frontend,Performance optimization,80,Vue.js,62,Positive,6,6,307,1,3,45%,High,Positive,60%
Jennifer Smith,Senior,Machine Learning,Feature engineering,90,Keras,135,Negative,18,7,269,3,1,80%,Medium,Negative,80%
Jennifer Smith,Senior,Frontend,"State management (e.g., Redux, Vuex)",60,HTML,135,Positive,17,1,245,6,4,75%,Medium,Negative,85%
Jennifer Smith,Mid-Level,Mobile,Offline data storage and synchronization,45,Flutter,51,Negative,14,8,234,2,1,50%,High,Negative,80%
Jennifer Smith,Senior,Mobile,Mobile app UI/UX design,70,React Native,143,Neutral,14,5,676,10,3,85%,Low,Negative,80%
Jennifer Smith,Senior,Machine Learning,Computer Vision,95,OpenCV,106,Positive,8,7,831,4,3,60%,High,Negative,80%
Jennifer Smith,Junior,Machine Learning,Computer Vision,35,OpenCV,5,Neutral,8,8,245,7,5,35%,Medium,Negative,30%
Duane Smith,Mid-Level,Mobile,Mobile app UI/UX design,60,Ionic,68,Negative,6,5,767,8,2,55%,Low,Negative,60%
Duane Smith,Senior,DevOps,Server provisioning and configuration,90,ELK Stack,109,Positive,7,4,868,8,2,75%,High,Positive,75%
Duane Smith,Mid-Level,Mobile,Push notifications,55,Xamarin,44,Positive,6,7,445,5,5,55%,Medium,Negative,80%
Duane Smith,Senior,Backend,Scalability and performance optimization,85,Java,101,Positive,10,2,946,6,1,75%,High,Negative,95%
Duane Smith,Senior,Mobile,Mobile app deployment to app stores,70,Flutter,127,Positive,5,5,664,3,4,85%,High,Negative,60%
Eric Maldonado,Junior,Machine Learning,Transfer learning,50,Keras,9,Neutral,16,6,718,3,4,30%,High,Negative,30%
Eric Maldonado,Mid-Level,Backend,Websockets and real-time communication,55,PHP,49,Positive,7,6,935,8,3,70%,High,Negative,70%
Eric Maldonado,Mid-Level,Mobile,Mobile app deployment to app stores,80,React Native,40,Negative,12,1,359,10,5,75%,High,Positive,40%
Eric Maldonado,Senior,DevOps,Automated testing and deployment pipelines,90,Ansible,118,Positive,15,2,304,4,1,70%,High,Negative,75%
Eric Maldonado,Mid-Level,Frontend,Performance optimization,40,Sass,42,Positive,14,1,983,3,5,45%,Low,Positive,60%
Eric Maldonado,Mid-Level,Mobile,Mobile app testing and debugging,50,Kotlin,42,Positive,10,9,456,2,5,50%,Medium,Negative,55%
Eric Maldonado,Senior,Machine Learning,"Deep learning models (e.g., neural networks)",85,PyTorch,134,Negative,10,8,977,5,3,90%,Medium,Positive,80%
Eric Maldonado,Mid-Level,Frontend,Browser compatibility,60,Sass,58,Negative,10,3,189,4,1,55%,High,Positive,80%
Eric Maldonado,Mid-Level,Mobile,"Native mobile development (e.g., Swift, Kotlin)",45,PhoneGap,60,Positive,6,8,301,10,3,75%,High,Negative,45%
Eric Maldonado,Senior,Backend,Authentication and authorization,95,PHP,97,Positive,5,2,815,8,5,90%,High,Positive,90%
Eric Maldonado,Mid-Level,Backend,Scalability and performance optimization,70,GraphQL,59,Neutral,18,2,329,7,2,40%,High,Negative,80%
Eric Maldonado,Junior,Frontend,Component-based architecture,30,Angular,22,Neutral,15,4,546,8,4,40%,Low,Negative,45%
Eric Maldonado,Senior,Machine Learning,Model explainability and interpretability,75,TensorFlow,87,Positive,12,10,422,0,3,85%,Medium,Positive,95%
Bradley Christensen MD,Mid-Level,Mobile,Mobile app UI/UX design,55,React Native,47,Positive,15,10,525,7,4,80%,High,Negative,40%
Bradley Christensen MD,Senior,Machine Learning,Model training and evaluation,95,pandas,109,Positive,15,2,890,5,3,90%,High,Positive,60%
Bradley Christensen MD,Senior,DevOps,"Orchestration (e.g., Kubernetes)",75,Terraform,97,Positive,6,8,704,5,3,75%,Low,Negative,95%
Bradley Christensen MD,Senior,Frontend,Performance optimization,95,Less,75,Positive,15,4,535,9,4,60%,High,Positive,95%
Bradley Christensen MD,Mid-Level,Mobile,"Native mobile development (e.g., Swift, Kotlin)",55,Swift,45,Positive,9,2,386,5,1,40%,Medium,Negative,70%
Bradley Christensen MD,Junior,Mobile,Mobile app security,50,Swift,4,Neutral,13,8,178,10,2,40%,High,Negative,35%
Bradley Christensen MD,Senior,Backend,"ORM/ODM (e.g., SQLAlchemy, Mongoose)",80,Node.js,135,Neutral,13,4,106,2,5,90%,Medium,Positive,80%
Bradley Christensen MD,Mid-Level,DevOps,Security and compliance,80,Jenkins,66,Positive,6,5,937,9,1,75%,Medium,Negative,80%
Bradley Christensen MD,Junior,Mobile,"Cross-platform mobile development (e.g., Flutter, React Native)",45,Flutter,3,Positive,19,7,748,5,5,30%,Medium,Negative,40%
Bradley Christensen MD,Senior,Backend,Background processing/jobs,95,Java,91,Positive,20,1,570,7,3,85%,High,Negative,85%
Bradley Christensen MD,Junior,Mobile,"Native mobile development (e.g., Swift, Kotlin)",50,Ionic,17,Positive,11,10,447,4,3,50%,High,Positive,40%
Bradley Christensen MD,Junior,DevOps,Security and compliance,35,Terraform,16,Neutral,6,3,448,9,5,50%,High,Positive,45%
Bradley Christensen MD,Junior,Machine Learning,Model deployment and serving,30,TensorFlow,17,Negative,8,4,443,6,5,30%,Low,Negative,30%
Bradley Christensen MD,Mid-Level,Mobile,Mobile app UI/UX design,40,Flutter,49,Positive,9,10,309,4,4,75%,Low,Negative,70%
Ashley Rowland,Junior,Frontend,JavaScript/jQuery,40,Less,12,Negative,19,3,260,5,2,50%,High,Positive,30%
Ashley Rowland,Junior,Backend,Data validation and sanitization,45,Python,14,Negative,11,9,759,9,3,50%,Low,Negative,35%
Ashley Rowland,Mid-Level,DevOps,Security and compliance,80,Terraform,67,Negative,8,3,929,6,4,75%,High,Positive,80%
Ashley Rowland,Senior,DevOps,Automated testing and deployment pipelines,70,Prometheus,144,Positive,7,3,459,10,2,80%,Low,Positive,80%
Ashley Rowland,Mid-Level,Machine Learning,Feature engineering,50,OpenCV,47,Negative,10,6,801,2,4,40%,Medium,Negative,55%
Ashley Rowland,Senior,Backend,API development,75,Java,93,Neutral,10,9,928,6,5,80%,Low,Positive,95%
Ashley Rowland,Senior,Backend,Background processing/jobs,95,Ruby,83,Negative,13,9,376,4,3,60%,Low,Positive,90%
Timothy Compton,Senior,DevOps,Log aggregation and analysis,95,Terraform,94,Negative,8,9,919,1,3,60%,Low,Negative,75%
Timothy Compton,Senior,Mobile,Mobile app security,90,Flutter,142,Neutral,6,9,824,5,2,95%,High,Positive,80%
Timothy Compton,Mid-Level,DevOps,"Orchestration (e.g., Kubernetes)",50,Terraform,50,Negative,10,3,933,7,3,50%,Medium,Positive,45%
Timothy Compton,Senior,Backend,Scalability and performance optimization,60,Scala,82,Negative,18,8,836,1,1,85%,Medium,Negative,80%
Timothy Compton,Senior,DevOps,Security and compliance,75,Jenkins,73,Positive,15,4,364,4,4,90%,High,Negative,85%
Timothy Compton,Mid-Level,DevOps,Infrastructure as Code,40,Docker,58,Positive,18,1,390,8,3,75%,Low,Negative,80%
Timothy Compton,Senior,Backend,API development,60,C#,113,Positive,16,6,949,8,4,90%,Medium,Negative,90%
Timothy Compton,Mid-Level,Mobile,Mobile app deployment to app stores,50,Flutter,64,Negative,6,9,277,7,1,75%,Medium,Negative,75%
Timothy Compton,Junior,DevOps,Backup and disaster recovery,50,Jenkins,30,Positive,6,5,559,3,5,40%,High,Positive,30%
Timothy Compton,Junior,Machine Learning,Model training and evaluation,50,Python,17,Negative,12,6,314,2,3,45%,Medium,Positive,35%
Timothy Compton,Mid-Level,Mobile,Mobile app testing and debugging,45,PhoneGap,56,Positive,18,7,980,5,5,45%,Low,Positive,45%
Timothy Compton,Mid-Level,Backend,"Web framework (e.g., Django, Flask, Express.js)",45,Go,70,Positive,10,3,901,5,5,50%,Medium,Positive,40%
Timothy Compton,Senior,Machine Learning,Time series analysis,70,pandas,111,Negative,6,1,121,3,2,75%,Medium,Negative,85%
Timothy Compton,Junior,Frontend,User interface design,40,CSS,11,Positive,14,1,563,10,5,30%,Low,Negative,35%
Timothy Compton,Senior,Machine Learning,Reinforcement learning,60,PyTorch,124,Positive,17,4,408,4,5,70%,Medium,Negative,95%
Timothy Compton,Mid-Level,Frontend,Responsive web design,50,Bootstrap,70,Neutral,10,6,389,0,3,50%,High,Positive,50%
Timothy Compton,Mid-Level,Frontend,Form validation,80,Angular,46,Positive,17,9,753,6,3,40%,Low,Negative,40%
Timothy Compton,Mid-Level,DevOps,"Containerization (e.g., Docker)",75,Docker,61,Negative,11,4,157,9,4,55%,Low,Negative,50%
Timothy Compton,Mid-Level,DevOps,Automated testing and deployment pipelines,50,Ansible,50,Negative,16,1,586,7,3,70%,Low,Positive,80%
Timothy Compton,Mid-Level,Backend,Data validation and sanitization,75,Ruby,50,Neutral,13,2,226,3,1,80%,Low,Negative,55%
Timothy Compton,Senior,DevOps,Monitoring and alerting,70,Terraform,81,Positive,15,2,484,5,1,80%,Low,Positive,90%
Timothy Compton,Junior,Mobile,"Native mobile development (e.g., Swift, Kotlin)",50,Kotlin,8,Positive,20,3,905,2,3,35%,Medium,Negative,40%
Timothy Compton,Senior,Backend,Authentication and authorization,70,PHP,113,Neutral,17,9,824,10,3,70%,Low,Positive,90%
Timothy Compton,Junior,Machine Learning,Model training and evaluation,35,pandas,17,Neutral,13,5,901,9,5,35%,Low,Positive,40%
Timothy Compton,Senior,Backend,Database design and management,95,PHP,110,Neutral,13,10,951,8,4,70%,Medium,Negative,80%
Timothy Compton,Mid-Level,Mobile,Mobile app security,75,PhoneGap,53,Neutral,18,5,675,8,4,70%,High,Negative,50%
Rachel Wallace,Junior,Machine Learning,Reinforcement learning,40,Keras,28,Neutral,17,9,629,4,1,40%,Medium,Positive,40%
Rachel Wallace,Mid-Level,DevOps,Infrastructure as Code,50,Terraform,64,Negative,8,1,243,5,3,80%,Low,Positive,45%
Rachel Wallace,Mid-Level,Frontend,"State management (e.g., Redux, Vuex)",55,CSS,48,Positive,14,5,238,9,3,40%,Low,Negative,70%
Rachel Wallace,Mid-Level,Machine Learning,Transfer learning,55,Python,40,Positive,9,10,905,7,2,45%,Medium,Negative,75%
Rachel Wallace,Mid-Level,Mobile,"Native mobile development (e.g., Swift, Kotlin)",70,Flutter,41,Positive,8,4,391,6,2,45%,Low,Positive,70%
Rachel Wallace,Mid-Level,Backend,"ORM/ODM (e.g., SQLAlchemy, Mongoose)",75,Kotlin,45,Negative,10,2,256,3,1,55%,High,Positive,80%
Rachel Wallace,Mid-Level,DevOps,Server provisioning and configuration,45,Prometheus,63,Neutral,5,8,811,1,4,40%,High,Negative,40%
Rachel Wallace,Senior,Backend,Websockets and real-time communication,70,Java,140,Negative,17,9,601,7,2,70%,Medium,Negative,80%
Rachel Wallace,Junior,Mobile,"Cross-platform mobile development (e.g., Flutter, React Native)",35,React Native,27,Positive,18,3,111,6,3,35%,Medium,Negative,30%
Rachel Wallace,Junior,Backend,Caching strategies,50,Ruby,34,Negative,6,4,606,6,3,30%,Medium,Negative,30%
Rachel Wallace,Senior,Mobile,Mobile app deployment to app stores,60,Swift,125,Negative,18,4,455,4,5,60%,High,Negative,95%
Rachel Wallace,Junior,Backend,"Server-side programming (e.g., Python, Node.js)",50,C#,17,Negative,9,10,659,7,2,50%,Medium,Positive,45%
Rachel Wallace,Senior,Frontend,Responsive web design,75,Less,141,Neutral,7,2,410,10,2,80%,High,Positive,75%
Rachel Wallace,Senior,Frontend,HTML/CSS markup,75,React,97,Neutral,12,7,668,5,2,90%,Medium,Negative,95%
Rachel Wallace,Junior,Frontend,User interface design,35,Webpack,16,Neutral,9,4,932,0,2,35%,Low,Negative,50%
Rachel Wallace,Junior,Mobile,Mobile app security,50,Swift,24,Negative,17,6,847,3,3,35%,Medium,Negative,45%
Rachel Wallace,Senior,Frontend,"State management (e.g., Redux, Vuex)",75,CSS,144,Neutral,17,8,314,3,1,60%,High,Positive,60%
Rachel Wallace,Junior,Backend,RESTful services,40,Java,14,Positive,11,10,914,3,3,30%,Medium,Negative,45%
Rachel Wallace,Mid-Level,Mobile,Mobile app testing and debugging,50,Kotlin,61,Neutral,13,4,633,4,1,60%,Low,Positive,70%
Rachel Wallace,Mid-Level,DevOps,Security and compliance,55,ELK Stack,47,Neutral,7,4,475,3,4,60%,Low,Positive,40%
Rachel Wallace,Junior,Mobile,Mobile app testing and debugging,45,Xamarin,31,Neutral,16,10,202,6,1,45%,High,Positive,50%
Rachel Wallace,Senior,DevOps,Infrastructure as Code,95,ELK Stack,115,Positive,5,8,147,3,5,80%,Medium,Positive,80%
Rachel Wallace,Junior,Frontend,Browser compatibility,45,Less,25,Positive,19,9,563,9,2,50%,Medium,Positive,35%
Rachel Wallace,Mid-Level,Frontend,Cross-platform development,80,JavaScript,66,Neutral,13,2,973,10,1,70%,Low,Negative,70%
Rachel Wallace,Senior,Mobile,Mobile app testing and debugging,70,Swift,143,Positive,7,2,612,3,2,85%,Medium,Negative,70%
Rachel Wallace,Junior,Backend,Database design and management,40,PHP,1,Negative,10,8,142,2,1,40%,Medium,Positive,35%
Rachel Wallace,Senior,Frontend,Cross-platform development,90,HTML,139,Negative,5,2,468,1,2,80%,High,Negative,75%
Rachel Wallace,Senior,DevOps,Backup and disaster recovery,90,Docker,77,Positive,6,9,667,2,1,70%,Medium,Positive,70%
Rachel Wallace,Junior,Machine Learning,Reinforcement learning,40,NumPy,15,Positive,5,5,910,8,5,50%,Low,Negative,35%
Rachel Wallace,Senior,Machine Learning,Hyperparameter tuning,70,Scikit-learn,120,Positive,8,2,112,7,1,85%,Medium,Positive,75%
Ruth Lewis,Senior,Mobile,Push notifications,70,Xamarin,104,Neutral,15,1,336,4,3,80%,High,Positive,80%
Ruth Lewis,Mid-Level,Mobile,Mobile app deployment to app stores,60,Xamarin,58,Neutral,13,8,569,5,2,55%,Low,Positive,55%
Ruth Lewis,Senior,Machine Learning,Transfer learning,70,Keras,120,Negative,12,7,808,6,2,70%,Low,Positive,75%
Ruth Lewis,Junior,Machine Learning,Supervised learning algorithms,30,NumPy,18,Negative,7,8,158,5,1,35%,High,Positive,35%
Stephen Nelson,Junior,Mobile,"Native mobile development (e.g., Swift, Kotlin)",50,Swift,15,Negative,8,2,261,10,1,35%,Low,Negative,40%
Stephen Nelson,Junior,DevOps,Infrastructure as Code,30,Terraform,35,Positive,15,6,210,8,5,30%,High,Negative,50%
Stephen Nelson,Junior,Machine Learning,Reinforcement learning,30,NumPy,32,Negative,14,4,107,7,4,30%,High,Negative,30%
Stephen Nelson,Junior,Frontend,Client-side routing,40,Sass,19,Negative,11,2,513,1,4,30%,High,Positive,45%
Stephen Nelson,Senior,DevOps,Load balancing and scaling,90,Kubernetes,115,Negative,5,2,203,8,4,75%,Medium,Positive,80%
Stephen Nelson,Mid-Level,Mobile,Mobile app performance optimization,50,Swift,42,Negative,19,9,302,8,4,75%,High,Positive,40%
Stephen Nelson,Junior,Frontend,"State management (e.g., Redux, Vuex)",50,JavaScript,23,Positive,10,2,964,0,4,40%,Medium,Positive,45%
Stephen Nelson,Junior,Mobile,Offline data storage and synchronization,45,Kotlin,28,Neutral,5,2,406,7,2,50%,High,Negative,40%
Stephen Nelson,Mid-Level,DevOps,Log aggregation and analysis,60,Kubernetes,48,Neutral,5,5,868,6,5,75%,High,Negative,60%
Stephen Nelson,Junior,Mobile,Mobile app performance optimization,35,Kotlin,17,Neutral,5,4,397,9,1,40%,Medium,Negative,30%
Stephen Nelson,Mid-Level,Frontend,Client-side routing,45,HTML,48,Neutral,5,5,777,8,1,40%,Low,Positive,50%
Victoria Dougherty,Mid-Level,DevOps,Infrastructure as Code,55,Kubernetes,68,Neutral,14,3,408,0,2,50%,High,Positive,80%
Victoria Dougherty,Junior,Machine Learning,"Deep learning models (e.g., neural networks)",45,TensorFlow,1,Neutral,6,7,915,9,2,30%,Medium,Negative,40%
Victoria Dougherty,Junior,Mobile,Mobile app security,35,PhoneGap,11,Negative,13,4,725,5,1,50%,Low,Negative,30%
Victoria Dougherty,Senior,Machine Learning,Unsupervised learning algorithms,75,Keras,118,Neutral,15,5,538,4,2,70%,Low,Negative,90%
Victoria Dougherty,Junior,Frontend,Browser compatibility,40,CSS,15,Negative,20,6,740,1,4,30%,High,Positive,40%
Victoria Dougherty,Senior,Machine Learning,Supervised learning algorithms,60,TensorFlow,103,Neutral,11,4,355,7,4,75%,High,Positive,70%
Victoria Dougherty,Junior,Backend,"Web framework (e.g., Django, Flask, Express.js)",45,Node.js,19,Positive,11,9,746,8,5,50%,High,Negative,30%
Victoria Dougherty,Mid-Level,DevOps,Automated testing and deployment pipelines,55,Terraform,63,Positive,20,2,529,8,2,70%,Medium,Negative,50%
Victoria Dougherty,Mid-Level,Frontend,Accessibility considerations,60,React,55,Positive,19,8,144,0,1,45%,Low,Negative,55%
Victoria Dougherty,Junior,Machine Learning,Model explainability and interpretability,30,Scikit-learn,14,Negative,19,2,453,7,3,35%,Medium,Negative,50%
Victoria Dougherty,Senior,Frontend,Component-based architecture,85,CSS,74,Neutral,10,4,192,7,5,85%,High,Positive,85%
Victoria Dougherty,Mid-Level,Machine Learning,"Deep learning models (e.g., neural networks)",55,pandas,51,Negative,19,8,985,10,5,40%,Medium,Negative,55%
Victoria Dougherty,Mid-Level,DevOps,Log aggregation and analysis,60,Docker,62,Neutral,14,1,672,0,5,75%,High,Negative,55%
Victoria Dougherty,Mid-Level,Machine Learning,Transfer learning,50,pandas,63,Neutral,13,6,781,7,2,60%,Low,Negative,70%
Victoria Dougherty,Junior,Frontend,Cross-platform development,45,Angular,29,Negative,9,6,352,8,1,30%,Medium,Negative,50%
Victoria Dougherty,Junior,DevOps,Continuous Integration and Deployment (CI/CD),35,Terraform,12,Neutral,6,3,679,5,4,40%,Low,Negative,40%
Victoria Dougherty,Junior,Frontend,Client-side routing,30,JavaScript,23,Negative,11,2,533,8,4,40%,Low,Negative,50%
Victoria Dougherty,Senior,Frontend,JavaScript/jQuery,70,JavaScript,143,Positive,14,2,407,5,5,70%,Medium,Positive,90%
Victoria Dougherty,Mid-Level,Machine Learning,Natural Language Processing (NLP),70,TensorFlow,56,Positive,5,1,312,8,2,50%,High,Negative,60%
David Taylor,Junior,Backend,Caching strategies,30,Python,18,Negative,11,4,261,10,5,30%,Low,Negative,45%
David Taylor,Mid-Level,Machine Learning,Natural Language Processing (NLP),70,OpenCV,52,Positive,16,8,451,8,3,40%,High,Positive,40%
David Taylor,Mid-Level,Backend,"ORM/ODM (e.g., SQLAlchemy, Mongoose)",40,GraphQL,59,Neutral,14,10,418,4,5,80%,High,Positive,45%
David Taylor,Senior,Machine Learning,Natural Language Processing (NLP),90,Keras,87,Negative,12,1,667,8,1,70%,High,Negative,70%
David Taylor,Senior,Mobile,Mobile app UI/UX design,75,PhoneGap,101,Positive,16,7,115,0,1,85%,High,Negative,70%
David Taylor,Mid-Level,DevOps,"Containerization (e.g., Docker)",50,Jenkins,39,Neutral,11,9,893,6,5,70%,High,Negative,60%
David Taylor,Senior,Mobile,Device compatibility,85,Flutter,122,Positive,6,3,401,6,5,90%,Medium,Positive,95%
David Taylor,Mid-Level,Backend,Background processing/jobs,40,Ruby,47,Neutral,8,1,446,9,3,55%,Medium,Negative,80%
David Taylor,Mid-Level,Mobile,Device compatibility,60,Ionic,59,Neutral,6,8,839,0,1,75%,Low,Negative,70%
Shelby Hudson,Senior,Machine Learning,Natural Language Processing (NLP),70,OpenCV,119,Negative,17,2,980,9,3,60%,High,Positive,75%
Shelby Hudson,Mid-Level,Backend,Authentication and authorization,70,Ruby,54,Negative,17,10,268,1,3,75%,Low,Positive,70%
Shelby Hudson,Senior,DevOps,Load balancing and scaling,90,Ansible,121,Neutral,8,1,221,9,4,85%,Low,Negative,70%
Shelby Hudson,Mid-Level,Backend,Security and encryption,40,Java,50,Positive,6,9,955,0,3,50%,Low,Positive,70%
Shelby Hudson,Junior,DevOps,"Cloud platforms (e.g., AWS, Azure, GCP)",45,Kubernetes,22,Neutral,17,4,762,0,5,30%,Low,Positive,50%
Shelby Hudson,Senior,Frontend,Client-side routing,70,Sass,77,Neutral,9,5,957,0,4,95%,Medium,Positive,70%
Shelby Hudson,Mid-Level,Mobile,Mobile app deployment to app stores,80,Swift,61,Negative,7,1,182,0,1,55%,Medium,Negative,45%
Shelby Hudson,Senior,DevOps,"Orchestration (e.g., Kubernetes)",85,Jenkins,142,Negative,7,5,891,8,2,60%,High,Negative,85%
Shelby Hudson,Mid-Level,Machine Learning,Computer Vision,55,NumPy,64,Negative,7,2,161,6,4,50%,Medium,Negative,70%
Shelby Hudson,Mid-Level,Mobile,Mobile app security,40,Xamarin,61,Negative,10,1,485,4,3,80%,High,Positive,40%
Shelby Hudson,Senior,Backend,"Server-side programming (e.g., Python, Node.js)",75,PHP,78,Neutral,5,9,699,0,1,90%,High,Negative,60%
Shelby Hudson,Senior,Frontend,JavaScript/jQuery,70,Vue.js,109,Neutral,5,6,676,6,5,75%,Medium,Positive,75%
Shelby Hudson,Mid-Level,Backend,"Server-side programming (e.g., Python, Node.js)",75,GraphQL,39,Positive,13,4,542,9,5,40%,Low,Negative,55%
Shelby Hudson,Mid-Level,Frontend,AJAX and API integration,45,CSS,40,Negative,11,2,231,5,5,75%,Medium,Positive,75%
Shelby Hudson,Senior,DevOps,"Cloud platforms (e.g., AWS, Azure, GCP)",90,Kubernetes,82,Negative,17,8,819,6,4,60%,High,Positive,70%
Shelby Hudson,Junior,DevOps,"Orchestration (e.g., Kubernetes)",50,Prometheus,24,Negative,8,7,877,5,3,40%,High,Negative,45%
Shelby Hudson,Mid-Level,Machine Learning,Feature engineering,75,pandas,69,Positive,7,8,357,5,4,60%,Low,Positive,45%
Shelby Hudson,Senior,DevOps,Log aggregation and analysis,85,ELK Stack,125,Neutral,19,8,962,9,5,80%,High,Positive,70%
Shelby Hudson,Mid-Level,Backend,Database design and management,50,PHP,67,Neutral,15,9,732,3,4,70%,Low,Positive,50%
Shelby Hudson,Junior,Frontend,User interface design,50,Sass,35,Neutral,15,6,642,7,4,45%,Medium,Positive,30%
William Hanna,Junior,Mobile,Mobile app testing and debugging,40,Xamarin,21,Neutral,19,3,649,1,1,45%,High,Negative,45%
William Hanna,Junior,Frontend,"State management (e.g., Redux, Vuex)",45,Bootstrap,29,Positive,8,7,910,9,1,40%,Low,Positive,50%
William Hanna,Junior,Mobile,Push notifications,40,NativeScript,23,Negative,20,9,873,7,3,35%,High,Positive,50%
William Hanna,Mid-Level,Machine Learning,Hyperparameter tuning,75,Scikit-learn,63,Positive,8,9,590,3,5,75%,High,Negative,75%
William Hanna,Junior,Frontend,Accessibility considerations,40,Less,12,Positive,10,2,219,4,2,35%,Low,Positive,35%
William Hanna,Mid-Level,Mobile,"Native mobile development (e.g., Swift, Kotlin)",55,React Native,49,Negative,9,1,714,2,2,75%,Medium,Negative,60%
Andrew Cooke,Mid-Level,DevOps,Infrastructure as Code,55,ELK Stack,41,Neutral,12,6,160,9,2,50%,High,Positive,60%
Andrew Cooke,Senior,DevOps,Automated testing and deployment pipelines,80,Kubernetes,116,Positive,19,7,477,10,3,85%,High,Positive,70%
Andrew Cooke,Mid-Level,Frontend,"Frontend frameworks (e.g., React, Angular, Vue)",45,Angular,55,Positive,20,4,763,8,5,75%,High,Negative,70%
Andrew Cooke,Junior,Machine Learning,Transfer learning,30,Python,11,Negative,11,10,332,3,5,50%,High,Negative,30%
Andrew Cooke,Junior,Backend,Third-party integrations,50,Kotlin,18,Negative,15,6,153,1,2,50%,Medium,Negative,40%
Andrew Cooke,Senior,DevOps,"Cloud platforms (e.g., AWS, Azure, GCP)",70,ELK Stack,127,Neutral,12,7,199,4,3,70%,Low,Positive,60%
Andrew Cooke,Senior,Machine Learning,Data preprocessing and cleaning,70,pandas,131,Positive,5,7,582,7,3,85%,Medium,Negative,85%
Andrew Cooke,Senior,Mobile,Mobile app UI/UX design,85,NativeScript,115,Neutral,5,1,463,4,4,70%,High,Negative,80%
Andrew Cooke,Junior,Backend,"ORM/ODM (e.g., SQLAlchemy, Mongoose)",30,Ruby,12,Positive,12,1,651,10,1,50%,Medium,Negative,50%
Andrew Cooke,Mid-Level,Frontend,Cross-platform development,55,Webpack,42,Neutral,19,2,878,9,2,40%,Low,Negative,80%
Andrew Cooke,Mid-Level,Backend,"ORM/ODM (e.g., SQLAlchemy, Mongoose)",55,GraphQL,64,Negative,9,8,222,10,5,45%,Low,Positive,75%
Andrew Cooke,Senior,Frontend,Responsive web design,60,Vue.js,110,Positive,20,4,482,7,2,70%,High,Negative,95%
Andrew Cooke,Mid-Level,Frontend,Client-side routing,60,Less,43,Positive,14,7,491,7,2,70%,Medium,Positive,40%
Andrew Cooke,Junior,Frontend,Responsive web design,40,React,24,Positive,15,9,330,10,2,50%,High,Negative,35%
Andrew Cooke,Junior,Machine Learning,Supervised learning algorithms,50,OpenCV,11,Negative,17,6,636,9,1,40%,Low,Positive,45%
Andrew Cooke,Junior,Mobile,Offline data storage and synchronization,50,PhoneGap,11,Negative,17,6,264,5,1,35%,High,Positive,40%
Andrew Cooke,Junior,Backend,Data validation and sanitization,30,Kotlin,13,Negative,10,9,222,7,5,35%,High,Negative,40%
Andrew Cooke,Senior,Mobile,Offline data storage and synchronization,80,Ionic,122,Negative,17,4,793,5,3,90%,High,Negative,60%
Andrew Cooke,Senior,Machine Learning,Transfer learning,75,NumPy,135,Negative,19,10,729,2,4,80%,Medium,Negative,90%
Andrew Cooke,Junior,Frontend,AJAX and API integration,50,Less,32,Neutral,18,10,175,0,5,45%,High,Negative,45%
Andrew Cooke,Junior,DevOps,Monitoring and alerting,45,Terraform,27,Neutral,10,5,565,9,2,35%,Medium,Positive,35%
Andrew Cooke,Senior,Machine Learning,Computer Vision,60,OpenCV,142,Neutral,5,6,403,2,2,75%,High,Negative,95%
Thomas Decker,Senior,Backend,"ORM/ODM (e.g., SQLAlchemy, Mongoose)",75,Ruby,117,Neutral,14,8,781,8,1,90%,High,Negative,75%
Thomas Decker,Mid-Level,Backend,Scalability and performance optimization,60,Node.js,72,Neutral,7,9,870,0,2,55%,Medium,Positive,80%
Thomas Decker,Junior,Frontend,Cross-platform development,40,Angular,6,Neutral,7,10,764,2,3,40%,Medium,Positive,40%
Thomas Decker,Senior,Backend,Authentication and authorization,85,Java,89,Positive,5,3,427,3,3,80%,Medium,Positive,70%
Thomas Decker,Mid-Level,Machine Learning,Natural Language Processing (NLP),70,OpenCV,50,Negative,15,1,976,5,1,70%,High,Positive,75%
Thomas Decker,Mid-Level,Frontend,Accessibility considerations,45,HTML,55,Neutral,8,7,681,7,3,45%,High,Positive,50%
Thomas Decker,Senior,Frontend,User interface design,75,Less,82,Negative,18,1,692,1,1,60%,Medium,Negative,85%
Thomas Decker,Mid-Level,Machine Learning,Unsupervised learning algorithms,50,OpenCV,48,Negative,20,8,177,3,2,55%,Medium,Positive,50%
Thomas Decker,Junior,Frontend,HTML/CSS markup,45,HTML,25,Neutral,16,4,594,9,4,45%,High,Positive,40%
Thomas Decker,Junior,Frontend,JavaScript/jQuery,45,Sass,29,Neutral,16,5,778,1,1,50%,High,Negative,30%
Thomas Decker,Mid-Level,DevOps,"Containerization (e.g., Docker)",60,Terraform,59,Neutral,20,9,578,5,4,55%,Medium,Positive,40%
Thomas Decker,Junior,DevOps,"Containerization (e.g., Docker)",50,Ansible,5,Positive,7,2,845,2,3,50%,High,Negative,30%
Thomas Decker,Mid-Level,Backend,Background processing/jobs,60,Scala,38,Positive,17,2,189,10,1,50%,Medium,Positive,75%
Thomas Decker,Mid-Level,Frontend,"Frontend frameworks (e.g., React, Angular, Vue)",70,React,43,Negative,5,10,770,5,1,45%,High,Negative,70%
Thomas Decker,Senior,Backend,Scalability and performance optimization,75,C#,75,Negative,12,3,224,4,5,80%,Low,Positive,60%
Thomas Decker,Junior,Mobile,Push notifications,40,Xamarin,29,Negative,7,10,870,4,3,30%,Low,Positive,50%
Thomas Decker,Junior,Machine Learning,Model deployment and serving,30,PyTorch,4,Neutral,8,2,124,6,5,50%,High,Negative,35%
Thomas Decker,Mid-Level,Machine Learning,"Deep learning models (e.g., neural networks)",55,TensorFlow,45,Neutral,16,5,608,5,3,75%,Medium,Negative,60%
Brittany Molina,Senior,Frontend,Client-side routing,80,Sass,114,Neutral,11,6,960,0,2,60%,Low,Negative,80%
Brittany Molina,Mid-Level,Backend,Background processing/jobs,75,Ruby,60,Positive,11,2,990,6,5,55%,Medium,Negative,40%
Brittany Molina,Mid-Level,Machine Learning,Reinforcement learning,50,pandas,53,Negative,15,10,469,7,4,55%,Low,Negative,40%
Brittany Molina,Senior,Backend,Security and encryption,70,Kotlin,86,Positive,18,6,529,9,4,60%,Low,Negative,85%
Brittany Molina,Mid-Level,Machine Learning,Model deployment and serving,60,OpenCV,61,Positive,13,7,365,10,1,45%,Medium,Negative,40%
Brittany Molina,Mid-Level,Mobile,"Cross-platform mobile development (e.g., Flutter, React Native)",40,React Native,65,Neutral,10,10,516,7,4,60%,Low,Negative,45%
Brittany Molina,Junior,DevOps,Continuous Integration and Deployment (CI/CD),40,Prometheus,32,Positive,10,6,240,3,1,30%,Low,Positive,35%
Brittany Molina,Mid-Level,Machine Learning,Supervised learning algorithms,40,PyTorch,58,Negative,20,5,641,4,2,50%,Medium,Positive,55%
Brittany Molina,Senior,Backend,"Server-side programming (e.g., Python, Node.js)",75,Python,139,Positive,10,6,129,3,5,70%,High,Positive,95%
Brittany Molina,Mid-Level,Frontend,Accessibility considerations,40,JavaScript,59,Neutral,17,4,965,4,5,45%,Medium,Positive,60%
Brittany Molina,Mid-Level,Backend,"ORM/ODM (e.g., SQLAlchemy, Mongoose)",70,Scala,69,Neutral,14,4,649,10,1,80%,Medium,Negative,75%
Brittany Molina,Junior,Backend,"Server-side programming (e.g., Python, Node.js)",40,GraphQL,4,Positive,13,10,368,6,3,30%,Low,Negative,50%
Brittany Molina,Mid-Level,Backend,Data validation and sanitization,40,Go,70,Negative,7,7,576,8,1,75%,Low,Positive,60%
Brittany Molina,Junior,DevOps,Log aggregation and analysis,30,Jenkins,28,Neutral,8,1,306,10,2,30%,Low,Positive,35%
Brittany Molina,Senior,Backend,Websockets and real-time communication,75,Node.js,139,Negative,20,1,593,8,1,80%,High,Negative,90%
Brittany Molina,Senior,Backend,"Web framework (e.g., Django, Flask, Express.js)",90,C#,111,Negative,12,3,501,3,3,70%,Low,Negative,85%
Brittany Molina,Mid-Level,Mobile,Mobile app UI/UX design,70,PhoneGap,43,Neutral,16,6,1000,1,5,75%,High,Negative,75%
Brittany Molina,Senior,Frontend,User interface design,75,Bootstrap,83,Neutral,14,6,677,9,2,85%,Low,Positive,75%
Brittany Molina,Mid-Level,Frontend,Browser compatibility,55,Sass,46,Negative,17,3,478,5,5,80%,High,Positive,60%
Brittany Molina,Senior,Machine Learning,Feature engineering,75,TensorFlow,111,Positive,10,3,946,8,5,75%,Medium,Positive,70%
Brittany Molina,Junior,Frontend,Cross-platform development,40,Bootstrap,21,Neutral,17,7,456,9,1,35%,Low,Negative,40%
Lynn Riggs,Senior,Machine Learning,Reinforcement learning,75,PyTorch,118,Neutral,19,5,443,8,4,60%,Low,Negative,95%
Lynn Riggs,Mid-Level,Frontend,Responsive web design,40,Webpack,55,Neutral,10,7,565,1,2,80%,High,Positive,70%
Lynn Riggs,Mid-Level,DevOps,Log aggregation and analysis,80,GitLab CI/CD,64,Neutral,11,1,794,0,3,75%,Low,Positive,70%
Lynn Riggs,Senior,DevOps,Continuous Integration and Deployment (CI/CD),95,GitLab CI/CD,83,Positive,16,5,749,0,4,90%,High,Negative,75%
Lynn Riggs,Mid-Level,DevOps,Performance optimization,55,Prometheus,48,Negative,11,3,453,9,2,70%,High,Negative,75%
Lynn Riggs,Junior,Frontend,Responsive web design,50,React,19,Positive,13,10,410,10,2,50%,Medium,Positive,50%
Lynn Riggs,Senior,Mobile,Mobile app testing and debugging,85,PhoneGap,112,Negative,18,7,150,10,4,85%,Medium,Negative,75%
Lynn Riggs,Mid-Level,Mobile,Mobile app testing and debugging,55,Kotlin,58,Neutral,12,10,922,7,5,40%,Low,Positive,50%
Lynn Riggs,Senior,Mobile,Mobile app deployment to app stores,75,React Native,113,Negative,13,10,153,2,4,90%,High,Positive,85%
Lynn Riggs,Senior,DevOps,Log aggregation and analysis,60,Docker,99,Negative,17,9,553,4,2,60%,Low,Positive,95%
Lynn Riggs,Junior,Mobile,Mobile app performance optimization,35,NativeScript,13,Positive,12,3,962,5,4,45%,Medium,Positive,40%
Lynn Riggs,Senior,DevOps,Automated testing and deployment pipelines,90,Ansible,101,Positive,16,9,510,8,1,85%,Low,Positive,60%
Scott Mcdowell,Junior,Backend,Database design and management,40,Scala,3,Positive,15,1,859,8,5,35%,High,Negative,40%
Scott Mcdowell,Junior,Machine Learning,Data preprocessing and cleaning,50,Python,1,Positive,11,7,611,2,3,50%,Low,Negative,50%
Scott Mcdowell,Mid-Level,DevOps,"Orchestration (e.g., Kubernetes)",40,Ansible,61,Positive,9,10,814,2,1,70%,High,Positive,75%
Scott Mcdowell,Senior,Mobile,Mobile app deployment to app stores,95,PhoneGap,73,Negative,14,10,911,9,3,60%,High,Negative,95%
Scott Mcdowell,Senior,DevOps,"Containerization (e.g., Docker)",75,Jenkins,124,Neutral,11,10,350,6,4,75%,High,Negative,85%
Scott Mcdowell,Senior,Backend,Background processing/jobs,60,Go,94,Negative,12,3,533,5,3,60%,High,Positive,80%
Scott Mcdowell,Junior,Mobile,Offline data storage and synchronization,30,Swift,6,Positive,12,7,408,8,5,35%,Low,Positive,40%
Scott Mcdowell,Mid-Level,Machine Learning,Model deployment and serving,40,Python,39,Positive,6,6,600,7,3,60%,Medium,Positive,45%
Scott Mcdowell,Senior,Machine Learning,Model deployment and serving,95,OpenCV,97,Negative,20,2,643,7,3,60%,High,Negative,70%
Scott Mcdowell,Senior,Machine Learning,Model training and evaluation,75,Python,84,Positive,19,3,883,7,5,90%,Low,Positive,70%
Scott Mcdowell,Mid-Level,Backend,API development,75,C#,54,Neutral,17,3,226,4,4,50%,High,Positive,45%
Scott Mcdowell,Mid-Level,DevOps,Log aggregation and analysis,55,Prometheus,39,Positive,7,1,546,7,2,70%,High,Negative,45%
Scott Mcdowell,Mid-Level,Mobile,Mobile app UI/UX design,60,Xamarin,72,Positive,14,5,751,6,3,45%,High,Positive,80%
Scott Mcdowell,Mid-Level,Machine Learning,Computer Vision,50,TensorFlow,68,Neutral,16,5,674,4,4,50%,Low,Positive,45%
Scott Mcdowell,Junior,Backend,Caching strategies,40,PHP,6,Negative,5,5,744,2,1,40%,Medium,Positive,45%
Francisco Brown,Senior,DevOps,Continuous Integration and Deployment (CI/CD),70,Ansible,136,Negative,14,6,772,10,1,60%,High,Positive,75%
Francisco Brown,Mid-Level,DevOps,"Containerization (e.g., Docker)",60,Prometheus,56,Positive,16,3,459,5,5,45%,High,Positive,75%
Francisco Brown,Junior,Mobile,Mobile app security,45,Ionic,5,Negative,10,10,683,4,4,30%,Medium,Positive,50%
Francisco Brown,Senior,Backend,Data validation and sanitization,95,Ruby,126,Negative,11,5,190,4,4,80%,Low,Negative,95%
Francisco Brown,Mid-Level,Backend,Background processing/jobs,80,C#,48,Negative,13,7,376,1,1,50%,Low,Positive,70%
Francisco Brown,Senior,Frontend,Responsive web design,95,HTML,87,Negative,8,8,452,4,3,85%,High,Negative,95%
Francisco Brown,Junior,Machine Learning,Model deployment and serving,50,NumPy,6,Neutral,17,7,327,4,5,40%,High,Negative,40%
Francisco Brown,Senior,Machine Learning,Hyperparameter tuning,70,Scikit-learn,104,Positive,8,3,804,0,3,60%,Medium,Negative,95%
Francisco Brown,Senior,Mobile,Mobile app security,80,PhoneGap,98,Neutral,15,4,427,0,5,80%,Low,Positive,70%
Francisco Brown,Junior,DevOps,Monitoring and alerting,30,Jenkins,15,Neutral,7,6,339,3,2,50%,Medium,Negative,30%
Sheri Freeman,Junior,DevOps,Security and compliance,50,Jenkins,29,Neutral,9,6,236,9,5,30%,Medium,Positive,30%
Sheri Freeman,Senior,Frontend,"State management (e.g., Redux, Vuex)",60,Sass,82,Positive,7,9,423,5,2,70%,High,Positive,60%
Sheri Freeman,Junior,Mobile,"Cross-platform mobile development (e.g., Flutter, React Native)",40,Swift,2,Positive,16,10,142,3,1,50%,High,Negative,40%
Sheri Freeman,Mid-Level,Backend,"ORM/ODM (e.g., SQLAlchemy, Mongoose)",55,Node.js,70,Negative,9,6,311,7,4,60%,High,Positive,70%
Sheri Freeman,Junior,DevOps,Automated testing and deployment pipelines,35,ELK Stack,30,Negative,9,1,909,10,5,35%,Medium,Negative,40%
Sheri Freeman,Junior,Backend,Authentication and authorization,40,Go,22,Negative,17,9,881,6,4,35%,Low,Negative,40%
Sheri Freeman,Senior,Backend,Third-party integrations,90,GraphQL,106,Positive,12,10,998,1,5,70%,Medium,Negative,70%
Sheri Freeman,Senior,Frontend,JavaScript/jQuery,80,Bootstrap,83,Negative,11,1,332,0,4,60%,High,Positive,90%
Sheri Freeman,Senior,Machine Learning,"Deep learning models (e.g., neural networks)",75,NumPy,131,Negative,11,2,644,6,1,90%,Low,Positive,90%
Sheri Freeman,Senior,DevOps,Automated testing and deployment pipelines,85,GitLab CI/CD,125,Neutral,11,9,497,10,4,60%,Medium,Negative,75%
Sheri Freeman,Senior,Backend,Websockets and real-time communication,60,PHP,87,Neutral,18,6,487,6,5,75%,Low,Positive,90%
Sheri Freeman,Junior,DevOps,Backup and disaster recovery,50,Docker,8,Negative,17,2,349,8,5,40%,Medium,Negative,45%
Sheri Freeman,Junior,Frontend,Client-side routing,40,Less,35,Negative,10,6,140,4,3,50%,Low,Negative,45%
Sheri Freeman,Senior,Mobile,Offline data storage and synchronization,85,Flutter,126,Neutral,11,8,660,3,3,75%,Low,Negative,70%
Sheri Freeman,Senior,DevOps,Server provisioning and configuration,85,Docker,128,Negative,5,1,411,4,2,75%,Low,Positive,70%
Sheri Freeman,Junior,DevOps,Continuous Integration and Deployment (CI/CD),40,Prometheus,34,Negative,17,6,750,6,5,40%,Medium,Positive,50%
Sheri Freeman,Mid-Level,Backend,API development,60,Ruby,62,Neutral,9,9,756,4,4,50%,High,Positive,55%
Sheri Freeman,Senior,Frontend,Cross-platform development,75,React,131,Neutral,5,9,500,9,4,60%,Low,Negative,75%
Sheri Freeman,Mid-Level,Frontend,Responsive web design,40,React,55,Neutral,9,1,964,5,1,55%,Medium,Positive,70%
Sheri Freeman,Mid-Level,Backend,RESTful services,70,Kotlin,48,Negative,18,10,427,6,5,80%,Low,Negative,50%
Sheri Freeman,Senior,Machine Learning,Model explainability and interpretability,70,OpenCV,98,Neutral,15,5,481,7,5,75%,Low,Negative,85%
Sheri Freeman,Junior,DevOps,Continuous Integration and Deployment (CI/CD),40,Jenkins,2,Negative,16,7,745,8,4,45%,Medium,Negative,30%
Sheri Freeman,Junior,Mobile,Mobile app UI/UX design,45,NativeScript,2,Positive,6,1,729,5,5,45%,Medium,Positive,50%
Sheri Freeman,Mid-Level,Mobile,Device compatibility,50,Ionic,61,Positive,15,10,299,3,1,50%,Low,Negative,50%
Sheri Freeman,Junior,Frontend,"State management (e.g., Redux, Vuex)",40,JavaScript,17,Positive,11,8,863,0,2,45%,High,Negative,40%
Sheri Freeman,Mid-Level,Mobile,Mobile app security,55,Ionic,51,Neutral,20,7,756,2,2,60%,High,Positive,75%
Sheri Freeman,Mid-Level,DevOps,Continuous Integration and Deployment (CI/CD),60,Prometheus,49,Neutral,7,4,761,0,2,75%,High,Negative,70%
Sheri Freeman,Senior,DevOps,Server provisioning and configuration,70,Ansible,88,Positive,5,6,149,1,1,75%,Medium,Negative,80%
Patrick Johnson,Junior,Machine Learning,Hyperparameter tuning,50,NumPy,20,Neutral,9,6,408,3,4,45%,Low,Negative,50%
Patrick Johnson,Junior,DevOps,Monitoring and alerting,40,Prometheus,25,Negative,13,6,762,4,1,40%,Low,Negative,40%
Patrick Johnson,Mid-Level,Backend,Database design and management,40,Java,65,Neutral,8,5,339,7,3,45%,Low,Negative,75%
Patrick Johnson,Senior,Backend,"Server-side programming (e.g., Python, Node.js)",95,Ruby,124,Neutral,14,6,153,1,5,70%,Medium,Negative,80%
Patrick Johnson,Junior,Machine Learning,Hyperparameter tuning,40,OpenCV,1,Neutral,8,9,496,5,3,50%,Low,Negative,40%
Patrick Johnson,Mid-Level,DevOps,"Cloud platforms (e.g., AWS, Azure, GCP)",40,Terraform,55,Negative,6,3,267,1,3,50%,Medium,Negative,55%
Patrick Johnson,Mid-Level,Frontend,HTML/CSS markup,70,Vue.js,52,Neutral,11,3,322,10,2,60%,Medium,Negative,80%
Patrick Johnson,Senior,Machine Learning,Time series analysis,90,Keras,98,Negative,5,5,949,6,4,85%,Medium,Positive,95%
Patrick Johnson,Junior,Backend,RESTful services,45,Java,34,Negative,9,3,166,6,5,30%,High,Positive,35%
Patrick Johnson,Senior,Backend,Data validation and sanitization,95,Scala,105,Neutral,8,3,193,8,3,85%,Medium,Negative,75%
Patrick Johnson,Senior,Mobile,"Native mobile development (e.g., Swift, Kotlin)",80,Kotlin,74,Negative,20,5,967,10,3,80%,High,Negative,70%
Patrick Johnson,Junior,Frontend,Client-side routing,40,Angular,14,Negative,17,1,896,9,4,30%,Low,Positive,50%
Patrick Johnson,Senior,DevOps,Log aggregation and analysis,70,Terraform,74,Positive,16,10,779,9,1,90%,High,Positive,90%
Patrick Johnson,Senior,DevOps,Load balancing and scaling,70,Prometheus,87,Negative,10,7,681,7,4,70%,Medium,Positive,80%
Patrick Johnson,Senior,Machine Learning,Supervised learning algorithms,95,NumPy,118,Neutral,15,1,529,0,1,70%,High,Negative,60%
Patrick Johnson,Mid-Level,Backend,Security and encryption,80,Kotlin,69,Neutral,19,10,408,2,2,70%,Medium,Negative,70%
Patrick Johnson,Mid-Level,Frontend,Cross-platform development,40,JavaScript,60,Negative,19,9,964,5,2,50%,Medium,Positive,40%
Patrick Johnson,Mid-Level,Backend,"Web framework (e.g., Django, Flask, Express.js)",80,Go,46,Positive,19,7,497,8,4,40%,Low,Positive,75%
Patrick Johnson,Senior,Mobile,Mobile app security,85,Xamarin,76,Neutral,7,2,540,7,3,75%,Medium,Negative,90%
Patrick Johnson,Mid-Level,Mobile,"Native mobile development (e.g., Swift, Kotlin)",55,PhoneGap,42,Neutral,18,9,650,1,5,80%,High,Positive,40%
Patrick Johnson,Senior,Backend,Background processing/jobs,75,C#,133,Negative,11,8,845,2,1,70%,High,Positive,80%
Patrick Johnson,Mid-Level,Frontend,Browser compatibility,75,Angular,42,Neutral,18,7,382,6,5,75%,Medium,Positive,80%
Patrick Johnson,Mid-Level,DevOps,Monitoring and alerting,60,Prometheus,37,Neutral,17,4,803,7,1,75%,High,Negative,45%
Patrick Johnson,Junior,Frontend,Component-based architecture,50,JavaScript,6,Neutral,11,6,916,4,5,50%,Low,Negative,45%
Patrick Johnson,Mid-Level,Machine Learning,Model explainability and interpretability,70,PyTorch,54,Negative,15,8,737,3,3,40%,High,Positive,50%
Patrick Johnson,Junior,Mobile,Device compatibility,40,PhoneGap,28,Negative,6,2,245,6,1,30%,High,Positive,45%
Patrick Johnson,Senior,Frontend,Performance optimization,70,React,78,Negative,18,2,216,5,2,70%,High,Negative,75%
Patrick Johnson,Junior,Backend,RESTful services,40,Go,33,Neutral,9,6,994,0,4,45%,High,Positive,45%
Eric Torres,Senior,DevOps,"Cloud platforms (e.g., AWS, Azure, GCP)",95,Jenkins,132,Positive,13,1,494,2,2,85%,Medium,Positive,80%
Eric Torres,Junior,Frontend,"Frontend frameworks (e.g., React, Angular, Vue)",45,HTML,1,Neutral,11,5,924,6,5,45%,High,Positive,45%
Eric Torres,Senior,Mobile,"Native mobile development (e.g., Swift, Kotlin)",95,React Native,84,Positive,7,8,916,0,5,75%,Medium,Positive,85%
Eric Torres,Mid-Level,Machine Learning,Feature engineering,60,OpenCV,47,Positive,19,5,921,7,1,45%,High,Negative,50%
Eric Torres,Senior,Backend,"ORM/ODM (e.g., SQLAlchemy, Mongoose)",95,Ruby,101,Negative,7,4,431,4,2,95%,Low,Positive,80%
Eric Torres,Mid-Level,Backend,"Web framework (e.g., Django, Flask, Express.js)",60,Ruby,39,Positive,13,7,951,6,1,45%,Low,Positive,50%
Eric Torres,Junior,Mobile,Mobile app performance optimization,50,Flutter,9,Positive,18,10,247,7,1,35%,High,Positive,40%
Eric Torres,Senior,Frontend,Performance optimization,95,HTML,85,Negative,18,8,628,0,5,90%,High,Positive,80%
Eric Torres,Mid-Level,Mobile,Device compatibility,70,Kotlin,62,Negative,15,4,829,10,4,80%,High,Positive,40%
Eric Torres,Senior,DevOps,Performance optimization,75,Prometheus,133,Positive,8,2,825,6,1,75%,High,Negative,75%
Eric Torres,Senior,Frontend,HTML/CSS markup,95,HTML,74,Neutral,10,7,132,4,4,80%,High,Positive,90%
Eric Torres,Junior,Frontend,User interface design,30,CSS,5,Neutral,5,7,888,5,5,40%,Medium,Negative,45%
Eric Torres,Mid-Level,DevOps,Performance optimization,70,Docker,38,Negative,14,8,119,1,5,45%,Medium,Positive,70%
Eric Torres,Junior,DevOps,Server provisioning and configuration,35,Jenkins,17,Positive,15,4,608,5,3,35%,High,Positive,45%
Eric Torres,Junior,Backend,Scalability and performance optimization,45,Node.js,19,Positive,16,1,133,0,3,45%,Medium,Negative,45%
Eric Torres,Junior,DevOps,Infrastructure as Code,50,Terraform,2,Neutral,16,7,854,9,4,45%,Low,Positive,30%
Eric Torres,Junior,Frontend,Browser compatibility,30,React,15,Positive,5,7,698,8,3,40%,Low,Positive,45%
Eric Torres,Senior,Frontend,JavaScript/jQuery,90,Sass,101,Neutral,6,2,205,10,5,70%,Medium,Negative,75%
Ryan Rollins,Mid-Level,DevOps,Load balancing and scaling,75,Kubernetes,59,Neutral,6,5,131,8,2,45%,Medium,Negative,55%
Ryan Rollins,Mid-Level,Frontend,Cross-platform development,80,Angular,44,Neutral,13,4,685,8,5,50%,Medium,Negative,45%
Ryan Rollins,Mid-Level,DevOps,"Cloud platforms (e.g., AWS, Azure, GCP)",75,Prometheus,66,Neutral,14,5,274,3,3,50%,Medium,Negative,40%
Ryan Rollins,Junior,Frontend,Cross-platform development,45,Less,21,Negative,12,4,245,7,1,50%,Low,Positive,35%
Ryan Rollins,Mid-Level,Backend,Security and encryption,75,Python,65,Negative,6,10,117,10,1,80%,Low,Positive,75%
Ryan Rollins,Senior,DevOps,Server provisioning and configuration,75,Jenkins,135,Positive,11,10,963,3,5,90%,High,Negative,85%
Ryan Rollins,Senior,Mobile,Offline data storage and synchronization,80,Xamarin,120,Neutral,11,10,557,4,1,80%,Medium,Positive,60%
Ryan Rollins,Mid-Level,Frontend,AJAX and API integration,50,Vue.js,43,Positive,9,7,849,0,4,45%,Low,Negative,50%
Ryan Rollins,Junior,Machine Learning,Feature engineering,40,Scikit-learn,16,Negative,8,6,660,0,1,45%,High,Negative,35%
Ryan Rollins,Mid-Level,Machine Learning,Supervised learning algorithms,80,Python,48,Positive,19,5,341,1,4,50%,High,Positive,80%
Ryan Rollins,Junior,Machine Learning,Model training and evaluation,50,OpenCV,35,Positive,14,7,726,1,2,35%,High,Positive,30%
Ryan Rollins,Mid-Level,DevOps,Performance optimization,45,ELK Stack,38,Neutral,12,5,944,7,2,40%,Medium,Negative,50%
Ryan Rollins,Senior,Machine Learning,Model explainability and interpretability,60,pandas,101,Neutral,14,4,250,9,5,60%,Medium,Negative,90%
Ryan Rollins,Mid-Level,DevOps,Backup and disaster recovery,80,Docker,38,Neutral,16,3,159,8,3,75%,Low,Positive,75%
Ryan Rollins,Junior,DevOps,Load balancing and scaling,45,Terraform,21,Negative,16,5,888,0,2,35%,Medium,Negative,45%
Ryan Rollins,Senior,Frontend,Performance optimization,85,Bootstrap,112,Positive,20,6,978,2,1,90%,High,Negative,95%
Ryan Ellis,Mid-Level,Mobile,Device compatibility,45,Kotlin,55,Negative,12,5,423,8,2,70%,Low,Positive,80%
Ryan Ellis,Senior,Backend,Data validation and sanitization,60,Python,106,Negative,8,9,619,6,4,90%,Low,Negative,90%
Ryan Ellis,Senior,DevOps,Continuous Integration and Deployment (CI/CD),75,ELK Stack,116,Positive,11,5,687,3,5,95%,Low,Positive,70%
Ryan Ellis,Junior,Backend,Third-party integrations,35,Node.js,9,Negative,18,8,147,5,4,40%,Medium,Positive,50%
Ryan Ellis,Senior,Mobile,Mobile app performance optimization,95,PhoneGap,87,Negative,19,8,547,3,3,90%,Low,Negative,60%
Ryan Ellis,Senior,Frontend,Performance optimization,70,React,82,Neutral,10,3,427,9,4,90%,High,Negative,75%
Ryan Ellis,Senior,Mobile,"Cross-platform mobile development (e.g., Flutter, React Native)",95,Swift,128,Neutral,13,1,604,4,3,60%,Low,Negative,85%
Ryan Ellis,Mid-Level,Frontend,Performance optimization,45,HTML,48,Negative,15,3,450,8,1,60%,Medium,Negative,40%
Ryan Ellis,Junior,Frontend,Client-side routing,50,JavaScript,33,Neutral,10,8,501,1,1,45%,Medium,Positive,50%
Ryan Ellis,Senior,Machine Learning,"Deep learning models (e.g., neural networks)",70,Python,131,Positive,17,5,330,9,2,80%,Medium,Positive,95%
Ryan Ellis,Junior,Machine Learning,Feature engineering,50,NumPy,13,Positive,20,9,547,2,4,30%,Medium,Negative,45%
Ryan Ellis,Junior,Mobile,Mobile app deployment to app stores,45,Ionic,12,Negative,12,8,765,1,3,35%,Low,Positive,45%
Ryan Ellis,Mid-Level,Frontend,Client-side routing,75,HTML,42,Positive,11,1,459,8,5,60%,Medium,Negative,45%
Ryan Ellis,Junior,Frontend,Performance optimization,40,React,10,Negative,6,2,964,3,4,40%,High,Positive,30%
Ryan Ellis,Mid-Level,DevOps,"Orchestration (e.g., Kubernetes)",80,GitLab CI/CD,63,Positive,5,8,973,8,5,45%,Low,Positive,55%
Ryan Ellis,Mid-Level,Frontend,Client-side routing,45,React,64,Neutral,18,10,793,10,2,70%,Medium,Positive,70%
Ryan Ellis,Mid-Level,DevOps,Backup and disaster recovery,50,Terraform,70,Positive,20,8,674,0,2,60%,Medium,Negative,80%
Ryan Ellis,Mid-Level,DevOps,"Containerization (e.g., Docker)",80,Ansible,37,Neutral,20,7,303,10,1,70%,High,Positive,55%
Ryan Ellis,Junior,Backend,Third-party integrations,30,Python,13,Positive,17,2,271,9,4,30%,Low,Positive,35%
Ryan Ellis,Senior,DevOps,Server provisioning and configuration,85,Jenkins,141,Neutral,20,4,919,6,1,90%,Low,Negative,60%
Ryan Ellis,Senior,Machine Learning,Data visualization,60,OpenCV,110,Positive,16,2,756,1,1,75%,High,Negative,85%
Ryan Ellis,Mid-Level,Mobile,Device compatibility,75,Kotlin,46,Positive,5,5,239,10,3,45%,Medium,Positive,70%
Ryan Ellis,Junior,DevOps,Infrastructure as Code,30,Ansible,25,Positive,19,3,209,5,1,35%,Medium,Positive,30%
Ryan Ellis,Mid-Level,Frontend,Cross-platform development,50,Webpack,45,Negative,5,5,649,7,2,40%,Medium,Positive,40%
Ryan Ellis,Junior,Machine Learning,Model deployment and serving,35,Keras,7,Neutral,15,5,109,6,4,45%,Medium,Positive,40%
Ryan Ellis,Mid-Level,DevOps,"Orchestration (e.g., Kubernetes)",55,Jenkins,43,Positive,20,2,842,1,5,80%,Medium,Negative,60%
Nicholas Nelson,Mid-Level,Mobile,"Native mobile development (e.g., Swift, Kotlin)",40,NativeScript,52,Positive,11,1,331,1,2,40%,High,Positive,80%
Nicholas Nelson,Senior,Machine Learning,Model explainability and interpretability,60,Python,140,Neutral,16,5,988,6,4,75%,Low,Positive,95%
Nicholas Nelson,Mid-Level,Mobile,Push notifications,50,Kotlin,56,Negative,16,4,606,3,2,70%,Medium,Negative,80%
Nicholas Nelson,Junior,Mobile,"Cross-platform mobile development (e.g., Flutter, React Native)",40,PhoneGap,23,Negative,5,8,337,7,2,50%,Low,Positive,45%
Nicholas Nelson,Senior,Frontend,JavaScript/jQuery,60,HTML,112,Positive,13,2,792,4,3,90%,Medium,Negative,75%
Nicholas Nelson,Junior,Frontend,Performance optimization,30,Webpack,1,Negative,11,5,655,9,3,45%,High,Negative,45%
Nicholas Nelson,Senior,Machine Learning,Hyperparameter tuning,85,NumPy,123,Negative,6,1,402,1,3,60%,Low,Positive,80%
Nicholas Nelson,Mid-Level,Mobile,Offline data storage and synchronization,40,Ionic,48,Negative,7,6,443,4,1,80%,High,Positive,50%
Nicholas Nelson,Junior,Frontend,Responsive web design,35,Angular,34,Neutral,18,10,818,7,4,30%,High,Negative,45%
Nicholas Nelson,Junior,Mobile,Mobile app deployment to app stores,50,NativeScript,9,Neutral,6,9,703,3,3,30%,Medium,Negative,40%
Nicholas Nelson,Senior,Machine Learning,Supervised learning algorithms,75,TensorFlow,105,Neutral,15,4,787,10,1,95%,Low,Negative,75%
Robert Castro,Junior,Frontend,AJAX and API integration,30,Angular,30,Negative,16,8,665,0,1,45%,Medium,Negative,50%
Robert Castro,Senior,Mobile,Mobile app security,75,Ionic,125,Negative,13,3,164,8,5,90%,Low,Positive,95%
Robert Castro,Senior,Mobile,"Cross-platform mobile development (e.g., Flutter, React Native)",75,Ionic,123,Positive,5,3,665,2,3,90%,Medium,Negative,60%
Robert Castro,Mid-Level,Frontend,HTML/CSS markup,60,Vue.js,48,Positive,20,9,241,10,3,70%,Low,Positive,75%
Robert Castro,Senior,Machine Learning,Computer Vision,75,pandas,143,Neutral,11,6,974,2,2,80%,Low,Negative,95%
Robert Castro,Junior,Frontend,Component-based architecture,35,Sass,36,Positive,12,6,363,3,2,40%,High,Negative,50%
Robert Castro,Junior,Machine Learning,Model training and evaluation,50,PyTorch,7,Negative,15,10,293,5,3,30%,Low,Positive,40%
Cynthia Banks,Junior,Backend,Authentication and authorization,30,Java,26,Positive,9,6,569,10,4,35%,Medium,Negative,30%
Cynthia Banks,Junior,DevOps,Performance optimization,30,Ansible,5,Neutral,9,9,557,4,3,40%,Medium,Negative,45%
Cynthia Banks,Mid-Level,Mobile,Device compatibility,70,PhoneGap,44,Negative,19,4,510,3,3,50%,Low,Positive,70%
Cynthia Banks,Senior,Frontend,AJAX and API integration,90,React,89,Positive,17,3,465,7,2,70%,Low,Negative,90%
Cynthia Banks,Senior,Mobile,"Native mobile development (e.g., Swift, Kotlin)",90,Kotlin,82,Neutral,5,3,291,10,5,70%,High,Negative,60%
Cynthia Banks,Mid-Level,Machine Learning,Unsupervised learning algorithms,75,Scikit-learn,71,Positive,8,1,854,6,3,40%,Medium,Negative,50%
Cynthia Banks,Senior,Machine Learning,Unsupervised learning algorithms,95,pandas,82,Positive,8,2,856,5,2,60%,Low,Positive,90%
Cynthia Banks,Mid-Level,Frontend,Component-based architecture,70,JavaScript,70,Positive,10,9,459,3,3,55%,High,Negative,60%
Cynthia Banks,Junior,Backend,"Server-side programming (e.g., Python, Node.js)",30,PHP,17,Positive,5,6,620,3,2,30%,Low,Negative,40%
Cynthia Banks,Senior,Machine Learning,Transfer learning,75,pandas,115,Neutral,8,2,720,9,4,75%,High,Negative,80%
Cynthia Banks,Mid-Level,Backend,Authentication and authorization,55,GraphQL,68,Positive,7,3,285,8,5,80%,High,Positive,60%
Cynthia Banks,Senior,DevOps,Server provisioning and configuration,80,Docker,86,Negative,10,1,877,5,3,95%,High,Positive,75%
Cynthia Banks,Mid-Level,Mobile,Offline data storage and synchronization,70,Swift,50,Negative,9,2,882,3,4,75%,High,Positive,60%
Cynthia Banks,Mid-Level,Mobile,Device compatibility,70,Ionic,53,Negative,11,8,150,1,3,75%,High,Negative,75%
Cynthia Banks,Mid-Level,Frontend,"Frontend frameworks (e.g., React, Angular, Vue)",70,Vue.js,51,Positive,5,1,210,2,5,50%,High,Negative,75%
Cynthia Banks,Senior,Backend,RESTful services,75,GraphQL,94,Negative,19,8,172,5,4,60%,Medium,Positive,70%
Cynthia Banks,Senior,Mobile,"Native mobile development (e.g., Swift, Kotlin)",95,Kotlin,125,Positive,6,8,132,9,1,90%,High,Positive,85%
Cynthia Banks,Mid-Level,DevOps,Performance optimization,50,Kubernetes,58,Negative,13,5,432,10,3,50%,Low,Positive,50%
Cynthia Banks,Junior,Backend,Authentication and authorization,50,Go,28,Neutral,14,6,170,9,2,45%,Medium,Negative,30%
Cynthia Banks,Senior,Machine Learning,Hyperparameter tuning,75,TensorFlow,105,Neutral,6,9,618,0,5,85%,High,Positive,70%
Cynthia Banks,Junior,DevOps,Performance optimization,40,Terraform,7,Negative,8,4,721,6,5,45%,High,Positive,35%
Cynthia Banks,Senior,Mobile,Mobile app performance optimization,75,React Native,103,Neutral,13,2,987,2,1,80%,Low,Positive,90%
Cynthia Banks,Junior,Mobile,Mobile app UI/UX design,30,Ionic,33,Neutral,18,6,511,2,5,30%,High,Negative,35%
Cynthia Banks,Mid-Level,Frontend,Component-based architecture,40,Bootstrap,67,Positive,20,4,438,4,2,80%,Medium,Negative,45%
Cynthia Banks,Junior,Frontend,Component-based architecture,30,Angular,8,Neutral,14,10,877,9,1,30%,Medium,Negative,35%
Cynthia Banks,Mid-Level,Mobile,Mobile app performance optimization,60,PhoneGap,71,Negative,13,3,882,2,5,55%,High,Positive,45%
Cynthia Banks,Junior,Frontend,Responsive web design,40,JavaScript,1,Neutral,11,4,119,5,4,45%,Medium,Negative,45%
Cynthia Banks,Senior,Mobile,Mobile app performance optimization,85,Flutter,116,Neutral,11,1,110,0,5,90%,Low,Negative,90%
Cynthia Banks,Senior,Mobile,Mobile app deployment to app stores,80,NativeScript,131,Positive,17,2,771,5,3,80%,High,Positive,90%
Dylan Lester,Junior,Frontend,Form validation,45,Angular,2,Positive,16,7,185,9,2,45%,Low,Positive,35%
Dylan Lester,Junior,Frontend,Browser compatibility,50,HTML,15,Negative,6,10,794,10,4,40%,Medium,Negative,45%
Dylan Lester,Mid-Level,Backend,"Server-side programming (e.g., Python, Node.js)",45,Kotlin,57,Neutral,5,1,766,7,5,55%,High,Positive,60%
Dylan Lester,Senior,DevOps,"Cloud platforms (e.g., AWS, Azure, GCP)",80,ELK Stack,91,Positive,17,10,322,0,5,80%,Medium,Positive,60%
Dylan Lester,Mid-Level,Mobile,"Cross-platform mobile development (e.g., Flutter, React Native)",50,Kotlin,47,Neutral,9,4,534,8,1,80%,Low,Negative,45%
Dylan Lester,Mid-Level,Machine Learning,Hyperparameter tuning,55,PyTorch,63,Negative,20,4,738,1,5,70%,High,Negative,80%
Dylan Lester,Senior,Machine Learning,"Deep learning models (e.g., neural networks)",75,NumPy,74,Positive,14,3,646,6,3,70%,Medium,Positive,60%
Dylan Lester,Junior,DevOps,Continuous Integration and Deployment (CI/CD),30,Jenkins,3,Neutral,10,10,143,10,4,40%,Low,Positive,40%
Dylan Lester,Senior,Backend,Data validation and sanitization,60,C#,103,Neutral,17,10,808,4,5,70%,Low,Positive,75%
Dylan Lester,Mid-Level,Frontend,JavaScript/jQuery,55,Vue.js,42,Neutral,19,2,357,0,1,80%,High,Negative,70%
Dylan Lester,Mid-Level,Mobile,Device compatibility,50,PhoneGap,47,Neutral,10,7,316,6,4,70%,Low,Negative,80%
Dylan Lester,Senior,Backend,"ORM/ODM (e.g., SQLAlchemy, Mongoose)",80,PHP,111,Neutral,6,10,290,8,4,90%,High,Positive,75%
Dylan Lester,Mid-Level,Machine Learning,Data visualization,60,Scikit-learn,68,Negative,10,3,479,6,4,45%,Low,Negative,60%
Dylan Lester,Mid-Level,Machine Learning,Model training and evaluation,80,Scikit-learn,72,Positive,18,1,411,6,2,40%,High,Positive,70%
Dylan Lester,Junior,DevOps,Backup and disaster recovery,45,Ansible,27,Neutral,14,6,441,5,4,30%,Medium,Negative,30%
Dylan Lester,Mid-Level,Mobile,Mobile app performance optimization,70,React Native,50,Neutral,17,3,710,0,1,80%,Medium,Positive,40%
Dylan Lester,Senior,Backend,"ORM/ODM (e.g., SQLAlchemy, Mongoose)",80,GraphQL,85,Neutral,11,6,210,2,2,95%,Low,Positive,95%
Dylan Lester,Junior,Mobile,Mobile app security,35,Xamarin,29,Neutral,7,10,994,3,2,50%,High,Positive,30%
Dylan Lester,Junior,Mobile,Mobile app security,40,Kotlin,10,Positive,10,8,801,10,3,50%,Low,Negative,45%
Dylan Lester,Junior,Frontend,Component-based architecture,35,JavaScript,4,Neutral,15,3,657,10,3,30%,Low,Negative,30%
Dylan Lester,Junior,Frontend,"Frontend frameworks (e.g., React, Angular, Vue)",50,Less,24,Negative,15,10,956,8,2,30%,Low,Negative,35%
Dylan Lester,Junior,DevOps,Performance optimization,35,Jenkins,11,Positive,6,5,968,9,4,40%,Low,Positive,50%
Dylan Lester,Senior,Machine Learning,Computer Vision,85,PyTorch,78,Positive,11,3,368,1,3,90%,Medium,Negative,80%
Dylan Lester,Mid-Level,Machine Learning,"Deep learning models (e.g., neural networks)",70,Python,69,Neutral,6,3,137,2,4,70%,Low,Negative,45%
Dylan Lester,Mid-Level,Backend,Database design and management,75,Scala,39,Positive,8,4,686,4,1,40%,High,Negative,70%
Dylan Lester,Junior,Frontend,JavaScript/jQuery,35,Angular,4,Neutral,9,3,744,3,2,30%,Medium,Negative,50%
Dylan Lester,Mid-Level,Backend,"Web framework (e.g., Django, Flask, Express.js)",45,Ruby,40,Neutral,8,6,819,9,4,80%,High,Positive,50%
Dylan Lester,Senior,Mobile,Mobile app UI/UX design,85,Ionic,98,Negative,19,2,372,5,3,80%,High,Negative,85%
Dylan Lester,Junior,Frontend,"Frontend frameworks (e.g., React, Angular, Vue)",35,Webpack,21,Neutral,19,2,730,2,4,35%,Low,Positive,50%
Katie Aguilar,Junior,DevOps,Log aggregation and analysis,45,ELK Stack,12,Neutral,11,9,625,0,1,45%,High,Positive,40%
Katie Aguilar,Junior,Machine Learning,Computer Vision,45,Python,23,Negative,6,4,444,3,5,30%,Low,Positive,35%
Katie Aguilar,Mid-Level,Backend,"ORM/ODM (e.g., SQLAlchemy, Mongoose)",50,Scala,42,Negative,17,6,223,7,1,70%,Low,Positive,70%
Katie Aguilar,Mid-Level,Frontend,AJAX and API integration,60,Vue.js,37,Neutral,6,9,868,3,1,75%,High,Positive,45%
Katie Aguilar,Senior,Frontend,HTML/CSS markup,90,Sass,77,Neutral,9,3,394,4,5,60%,Medium,Negative,60%
Julie Daniels,Senior,Machine Learning,Model deployment and serving,70,NumPy,126,Positive,18,9,332,3,5,95%,Medium,Positive,70%
Julie Daniels,Mid-Level,Frontend,Performance optimization,50,JavaScript,56,Positive,14,4,905,7,4,75%,Low,Positive,70%
Julie Daniels,Senior,Frontend,Browser compatibility,95,Bootstrap,126,Neutral,13,9,153,3,5,95%,Medium,Positive,90%
Julie Daniels,Mid-Level,Machine Learning,Feature engineering,50,Keras,45,Negative,5,10,896,7,1,80%,Low,Negative,40%
Julie Daniels,Mid-Level,Machine Learning,Natural Language Processing (NLP),75,OpenCV,45,Positive,10,1,475,8,5,70%,High,Positive,60%
Julie Daniels,Mid-Level,Backend,RESTful services,55,Node.js,61,Negative,8,8,327,0,5,75%,Medium,Positive,75%
Julie Daniels,Junior,Mobile,"Cross-platform mobile development (e.g., Flutter, React Native)",30,Xamarin,30,Neutral,17,7,121,7,5,30%,Medium,Positive,30%
Julie Daniels,Mid-Level,Frontend,Accessibility considerations,80,HTML,51,Neutral,6,2,567,5,4,50%,High,Positive,45%
Julie Daniels,Mid-Level,Frontend,Accessibility considerations,50,JavaScript,62,Negative,20,9,253,1,2,40%,Low,Positive,80%
Julie Daniels,Junior,Machine Learning,Transfer learning,40,pandas,35,Negative,10,8,554,5,5,50%,Low,Negative,45%
Julie Daniels,Mid-Level,Machine Learning,Natural Language Processing (NLP),45,pandas,71,Neutral,8,10,904,7,4,80%,Medium,Negative,75%
Julie Daniels,Mid-Level,Frontend,"Frontend frameworks (e.g., React, Angular, Vue)",60,Angular,57,Positive,7,3,959,7,3,40%,High,Positive,75%
Julie Daniels,Senior,Frontend,Responsive web design,75,Bootstrap,134,Neutral,7,2,801,5,5,95%,High,Positive,60%
Julie Daniels,Mid-Level,Frontend,Form validation,80,CSS,48,Positive,14,2,452,8,3,40%,High,Negative,70%
Julie Daniels,Junior,Mobile,Mobile app UI/UX design,30,Xamarin,14,Neutral,17,6,781,2,5,30%,Low,Negative,40%
Julie Daniels,Mid-Level,DevOps,Infrastructure as Code,40,Kubernetes,46,Negative,17,5,979,1,4,75%,High,Positive,60%
Julie Daniels,Mid-Level,Frontend,Performance optimization,45,Sass,71,Positive,6,6,677,5,1,50%,Low,Negative,50%
Julie Daniels,Junior,Mobile,"Native mobile development (e.g., Swift, Kotlin)",50,React Native,25,Negative,7,7,916,9,3,45%,Medium,Negative,50%
Julie Daniels,Senior,Frontend,Responsive web design,75,Vue.js,113,Positive,14,4,356,9,2,85%,Medium,Positive,60%
Julie Daniels,Junior,Mobile,"Cross-platform mobile development (e.g., Flutter, React Native)",40,NativeScript,35,Neutral,10,6,311,2,2,45%,Low,Positive,45%
Julie Daniels,Senior,Mobile,Mobile app performance optimization,75,React Native,98,Negative,6,5,839,0,1,80%,Low,Negative,85%
Julie Daniels,Mid-Level,Backend,RESTful services,60,GraphQL,50,Positive,10,8,951,4,2,60%,High,Negative,40%
Derrick Norris,Junior,Mobile,Offline data storage and synchronization,40,React Native,34,Neutral,18,3,245,10,5,30%,Low,Negative,30%
Derrick Norris,Mid-Level,Machine Learning,Computer Vision,55,Keras,57,Positive,20,8,267,2,5,50%,Medium,Positive,70%
Derrick Norris,Mid-Level,Frontend,Cross-platform development,60,CSS,56,Positive,8,3,520,3,1,40%,Low,Positive,70%
Derrick Norris,Senior,Backend,Caching strategies,90,GraphQL,75,Positive,8,7,661,3,3,70%,High,Positive,90%
Derrick Norris,Mid-Level,Frontend,Cross-platform development,70,Webpack,39,Positive,5,5,928,0,3,50%,Low,Negative,80%
Derrick Norris,Mid-Level,Machine Learning,Hyperparameter tuning,40,TensorFlow,56,Negative,20,8,679,5,4,50%,Medium,Positive,45%
Derrick Norris,Senior,Frontend,Client-side routing,70,JavaScript,103,Neutral,15,10,954,1,1,90%,Medium,Positive,60%
Derrick Norris,Senior,Backend,Caching strategies,85,Ruby,87,Positive,6,3,219,4,5,75%,Low,Positive,85%
Derrick Norris,Mid-Level,Backend,RESTful services,75,Ruby,62,Negative,13,2,738,0,5,70%,Low,Negative,55%
Derrick Norris,Junior,Mobile,Push notifications,45,React Native,20,Negative,16,2,880,8,1,30%,Low,Positive,30%
Derrick Norris,Mid-Level,Mobile,"Cross-platform mobile development (e.g., Flutter, React Native)",40,Ionic,62,Positive,15,7,497,10,5,55%,Medium,Negative,45%
Derrick Norris,Mid-Level,Backend,Security and encryption,50,Kotlin,39,Neutral,18,2,613,8,2,70%,Low,Negative,80%
Derrick Norris,Senior,Backend,"Server-side programming (e.g., Python, Node.js)",85,Go,126,Positive,13,6,697,3,5,60%,Low,Negative,60%
Derrick Norris,Junior,Backend,Security and encryption,50,C#,11,Negative,12,2,952,5,2,50%,Low,Positive,35%
Derrick Norris,Mid-Level,DevOps,Log aggregation and analysis,60,Terraform,62,Neutral,18,6,440,2,5,70%,High,Negative,75%
Derrick Norris,Senior,Mobile,Push notifications,95,Xamarin,99,Positive,19,8,260,4,2,60%,Low,Positive,60%
Derrick Norris,Senior,Frontend,AJAX and API integration,85,Angular,95,Negative,7,2,435,3,5,75%,Low,Positive,70%
Derrick Norris,Senior,Mobile,"Cross-platform mobile development (e.g., Flutter, React Native)",60,Xamarin,108,Negative,15,1,948,6,5,75%,Low,Negative,95%
Laura Collins,Junior,DevOps,Backup and disaster recovery,40,GitLab CI/CD,23,Neutral,20,5,764,8,2,45%,High,Negative,50%
Laura Collins,Senior,DevOps,Backup and disaster recovery,75,Terraform,118,Neutral,8,8,908,9,4,85%,High,Positive,70%
Laura Collins,Mid-Level,Frontend,Cross-platform development,50,HTML,69,Neutral,6,8,509,4,4,70%,Medium,Positive,75%
Laura Collins,Mid-Level,DevOps,Load balancing and scaling,40,Ansible,42,Positive,10,4,114,8,5,50%,Medium,Negative,60%
Laura Collins,Mid-Level,DevOps,Monitoring and alerting,40,Terraform,58,Neutral,20,5,511,2,3,80%,Low,Positive,75%
Laura Collins,Junior,Mobile,Mobile app performance optimization,50,Ionic,19,Positive,19,9,782,5,4,30%,Low,Negative,35%
Laura Collins,Mid-Level,Machine Learning,"Deep learning models (e.g., neural networks)",45,pandas,40,Positive,20,4,951,1,2,80%,Medium,Negative,60%
Laura Collins,Junior,Backend,Websockets and real-time communication,50,PHP,14,Negative,11,10,891,9,2,35%,Medium,Negative,45%
Laura Collins,Mid-Level,Frontend,Form validation,80,HTML,45,Neutral,14,2,419,7,1,45%,High,Positive,80%
Laura Collins,Junior,Mobile,"Cross-platform mobile development (e.g., Flutter, React Native)",30,Xamarin,26,Positive,19,1,183,9,3,50%,High,Positive,30%
Laura Collins,Junior,Frontend,HTML/CSS markup,50,JavaScript,36,Negative,17,5,503,2,4,50%,Low,Negative,35%
Laura Collins,Mid-Level,Backend,Scalability and performance optimization,50,Python,69,Negative,9,10,958,0,1,70%,Medium,Positive,45%
Laura Collins,Senior,Frontend,Performance optimization,80,Sass,75,Negative,7,7,245,4,5,85%,Medium,Positive,70%
Dustin Garcia,Junior,Mobile,Device compatibility,30,Swift,22,Positive,8,9,399,3,3,50%,High,Negative,40%
Dustin Garcia,Junior,Mobile,Offline data storage and synchronization,40,React Native,5,Negative,17,6,839,5,1,35%,Low,Positive,45%
Dustin Garcia,Senior,Machine Learning,Model explainability and interpretability,85,Scikit-learn,138,Negative,18,2,251,3,5,80%,High,Negative,90%
Dustin Garcia,Junior,DevOps,Load balancing and scaling,45,GitLab CI/CD,9,Negative,12,1,532,3,3,35%,Low,Negative,35%
Dustin Garcia,Junior,Mobile,Offline data storage and synchronization,40,NativeScript,2,Negative,6,4,741,2,5,30%,High,Negative,35%
Dustin Garcia,Senior,Mobile,Offline data storage and synchronization,80,React Native,144,Negative,20,10,474,0,3,90%,Medium,Positive,75%
Dustin Garcia,Junior,Machine Learning,Model deployment and serving,45,TensorFlow,30,Positive,18,4,557,8,4,30%,Low,Negative,30%
Dustin Garcia,Junior,Frontend,HTML/CSS markup,40,HTML,7,Positive,18,3,681,5,3,45%,High,Negative,35%
Dustin Garcia,Junior,Machine Learning,Model explainability and interpretability,30,TensorFlow,35,Positive,18,3,587,7,4,45%,Low,Negative,40%
Dustin Garcia,Senior,Mobile,"Cross-platform mobile development (e.g., Flutter, React Native)",75,Xamarin,103,Positive,15,1,676,7,3,90%,Low,Positive,75%
Dustin Garcia,Senior,DevOps,"Orchestration (e.g., Kubernetes)",95,Docker,111,Negative,15,4,128,3,4,80%,High,Positive,60%
Dustin Garcia,Senior,Machine Learning,Natural Language Processing (NLP),95,pandas,138,Neutral,15,2,275,1,2,90%,High,Negative,60%
Dustin Garcia,Senior,Machine Learning,"Deep learning models (e.g., neural networks)",75,Keras,100,Neutral,10,5,810,4,2,80%,Low,Negative,75%
Dustin Garcia,Junior,Frontend,HTML/CSS markup,45,React,9,Negative,16,1,497,0,2,35%,Medium,Negative,40%
Dustin Garcia,Senior,Frontend,AJAX and API integration,95,Vue.js,140,Positive,10,5,951,7,1,80%,High,Positive,85%
Dustin Garcia,Mid-Level,Frontend,Cross-platform development,70,Bootstrap,66,Neutral,14,6,881,2,2,50%,Low,Negative,60%
Dustin Garcia,Senior,Mobile,Offline data storage and synchronization,75,React Native,82,Negative,20,6,707,8,2,75%,Low,Positive,70%
Dustin Garcia,Senior,Machine Learning,Reinforcement learning,90,PyTorch,115,Negative,6,7,137,4,2,95%,High,Positive,70%
Dustin Garcia,Mid-Level,DevOps,Backup and disaster recovery,60,Kubernetes,45,Positive,18,6,499,5,5,45%,High,Negative,50%
Mark Walters,Mid-Level,Machine Learning,Model explainability and interpretability,60,TensorFlow,54,Positive,13,5,217,3,5,50%,Low,Positive,50%
Mark Walters,Senior,Mobile,Mobile app performance optimization,80,Kotlin,90,Negative,18,2,398,10,1,95%,High,Negative,80%
Mark Walters,Senior,Mobile,Offline data storage and synchronization,60,Kotlin,115,Positive,7,1,318,2,4,75%,Low,Positive,95%
Mark Walters,Mid-Level,Frontend,JavaScript/jQuery,50,Vue.js,63,Negative,20,8,209,7,5,40%,Low,Positive,75%
Mark Walters,Mid-Level,Machine Learning,Supervised learning algorithms,40,Keras,57,Neutral,6,1,752,1,2,60%,Medium,Negative,50%
Mark Walters,Junior,Frontend,User interface design,30,Angular,32,Neutral,10,6,299,0,3,45%,High,Positive,45%
Mark Walters,Senior,Machine Learning,Computer Vision,85,Scikit-learn,93,Positive,8,7,465,4,4,70%,Low,Negative,60%
Mark Walters,Mid-Level,Mobile,Mobile app deployment to app stores,55,Kotlin,55,Negative,7,8,317,5,5,70%,High,Positive,75%
Mark Walters,Senior,Mobile,Mobile app testing and debugging,85,NativeScript,137,Neutral,11,3,824,6,4,75%,High,Negative,95%
Mark Walters,Senior,Machine Learning,Model deployment and serving,85,OpenCV,76,Negative,15,3,123,0,1,60%,Medium,Negative,60%
Mark Walters,Senior,Mobile,Mobile app testing and debugging,70,React Native,82,Negative,19,4,504,5,3,70%,Medium,Positive,95%
Mark Walters,Senior,Machine Learning,Feature engineering,70,Python,124,Positive,13,6,122,9,1,60%,Low,Negative,75%
Paul Mcclain,Mid-Level,Backend,"Server-side programming (e.g., Python, Node.js)",40,PHP,69,Neutral,19,7,604,6,3,70%,Medium,Positive,40%
Paul Mcclain,Mid-Level,Mobile,Mobile app testing and debugging,40,Kotlin,66,Negative,12,10,248,2,5,40%,High,Negative,45%
Paul Mcclain,Junior,DevOps,Log aggregation and analysis,40,Jenkins,36,Neutral,8,1,525,10,1,30%,Low,Positive,45%
Paul Mcclain,Junior,Machine Learning,Feature engineering,35,Python,30,Positive,20,6,974,1,2,40%,Low,Negative,40%
Paul Mcclain,Junior,Machine Learning,Feature engineering,30,pandas,26,Negative,10,2,391,1,3,40%,Medium,Negative,45%
Paul Mcclain,Junior,Backend,API development,45,PHP,17,Negative,12,8,871,7,5,50%,Low,Positive,30%
Paul Mcclain,Mid-Level,DevOps,"Orchestration (e.g., Kubernetes)",75,Terraform,61,Negative,20,1,314,3,5,60%,Low,Positive,55%
Paul Mcclain,Senior,Machine Learning,Model training and evaluation,85,Scikit-learn,82,Positive,17,4,745,4,5,90%,High,Negative,75%
Paul Mcclain,Mid-Level,Frontend,Browser compatibility,50,Less,70,Neutral,9,9,589,2,2,60%,Medium,Positive,45%
Paul Mcclain,Senior,Backend,"ORM/ODM (e.g., SQLAlchemy, Mongoose)",90,C#,132,Positive,9,9,552,4,5,95%,High,Positive,90%
Paul Mcclain,Junior,Mobile,"Native mobile development (e.g., Swift, Kotlin)",35,Ionic,4,Negative,15,6,743,6,4,30%,High,Negative,40%
Paul Mcclain,Junior,DevOps,"Containerization (e.g., Docker)",50,Kubernetes,1,Neutral,7,7,234,3,1,30%,Low,Negative,45%
Paul Mcclain,Junior,Machine Learning,Model explainability and interpretability,45,NumPy,6,Positive,20,6,212,0,5,50%,High,Positive,45%
Paul Mcclain,Junior,DevOps,"Orchestration (e.g., Kubernetes)",45,Docker,7,Positive,19,6,391,3,1,40%,Low,Negative,45%
Paul Mcclain,Mid-Level,Machine Learning,Unsupervised learning algorithms,50,Keras,65,Neutral,12,9,927,5,5,45%,Medium,Positive,50%
Paul Mcclain,Senior,Backend,Caching strategies,95,C#,128,Negative,20,10,717,8,5,75%,High,Positive,75%
Paul Mcclain,Mid-Level,Mobile,Mobile app testing and debugging,40,Flutter,71,Neutral,19,2,643,7,4,60%,High,Positive,70%
James Sparks,Junior,Mobile,Device compatibility,40,Flutter,10,Positive,14,5,560,0,5,40%,Medium,Negative,45%
James Sparks,Junior,Backend,Websockets and real-time communication,30,PHP,2,Neutral,19,1,126,3,2,50%,Low,Negative,40%
James Sparks,Junior,Backend,"Web framework (e.g., Django, Flask, Express.js)",45,GraphQL,24,Neutral,12,4,648,7,1,35%,Low,Positive,40%
James Sparks,Junior,Machine Learning,Model deployment and serving,45,Scikit-learn,17,Positive,20,2,637,2,3,30%,High,Negative,30%
James Sparks,Junior,Mobile,Mobile app testing and debugging,30,Xamarin,29,Positive,12,7,963,6,3,30%,High,Positive,45%
James Sparks,Senior,Backend,Scalability and performance optimization,80,PHP,122,Positive,15,4,584,6,2,80%,Low,Negative,95%
James Sparks,Senior,Backend,Authentication and authorization,60,C#,82,Neutral,13,4,809,6,1,75%,Low,Positive,85%
James Sparks,Senior,DevOps,Continuous Integration and Deployment (CI/CD),60,Kubernetes,85,Positive,13,3,185,10,1,70%,Low,Positive,80%
James Sparks,Senior,Machine Learning,Unsupervised learning algorithms,95,Keras,134,Positive,11,8,944,3,2,95%,High,Positive,85%
James Sparks,Senior,Frontend,Form validation,75,Webpack,99,Positive,19,9,480,6,4,90%,Medium,Negative,60%
James Sparks,Senior,DevOps,Log aggregation and analysis,70,Terraform,130,Positive,15,1,190,10,2,80%,Low,Positive,70%
James Sparks,Mid-Level,Backend,Scalability and performance optimization,40,Node.js,46,Positive,8,5,708,0,4,45%,Low,Negative,60%
James Sparks,Junior,Mobile,"Cross-platform mobile development (e.g., Flutter, React Native)",40,React Native,15,Negative,6,5,393,1,5,50%,Medium,Negative,40%
James Sparks,Senior,Mobile,Mobile app deployment to app stores,75,Xamarin,114,Positive,17,8,218,8,3,90%,Medium,Negative,80%
James Sparks,Mid-Level,Backend,Authentication and authorization,75,Go,48,Negative,6,10,813,9,1,75%,High,Negative,80%
James Sparks,Junior,Machine Learning,Model deployment and serving,45,Scikit-learn,34,Neutral,9,7,210,6,5,50%,High,Negative,40%
James Sparks,Senior,Backend,Security and encryption,60,Python,98,Negative,17,3,259,0,4,70%,High,Positive,80%
James Sparks,Junior,Machine Learning,Model training and evaluation,50,Scikit-learn,21,Neutral,6,8,978,7,4,40%,Medium,Positive,35%
Tyler Schmidt,Junior,DevOps,Server provisioning and configuration,35,ELK Stack,2,Positive,15,3,616,6,3,45%,High,Positive,40%
Tyler Schmidt,Mid-Level,Backend,Background processing/jobs,50,Go,49,Negative,19,8,944,5,5,40%,High,Positive,75%
Tyler Schmidt,Senior,Backend,Data validation and sanitization,95,Ruby,106,Negative,20,3,108,0,1,75%,High,Negative,80%
Tyler Schmidt,Mid-Level,Frontend,Performance optimization,75,JavaScript,38,Neutral,15,10,703,4,3,50%,High,Negative,55%
Tyler Schmidt,Mid-Level,DevOps,Server provisioning and configuration,40,GitLab CI/CD,66,Negative,14,5,181,2,3,55%,Medium,Negative,75%
Tyler Schmidt,Mid-Level,Backend,Caching strategies,40,C#,66,Neutral,7,8,709,10,1,60%,Medium,Positive,40%
Tyler Schmidt,Junior,Mobile,Mobile app UI/UX design,30,NativeScript,3,Positive,6,10,674,9,2,45%,Medium,Negative,50%
Tyler Schmidt,Junior,Machine Learning,Model deployment and serving,50,pandas,34,Positive,14,9,137,9,1,30%,Low,Negative,50%
Tyler Schmidt,Junior,Mobile,Mobile app testing and debugging,45,NativeScript,7,Neutral,5,4,329,2,2,50%,Low,Negative,35%
Tyler Schmidt,Senior,Backend,Caching strategies,85,Node.js,105,Neutral,20,9,984,6,3,60%,High,Positive,85%
Tyler Schmidt,Junior,Frontend,"Frontend frameworks (e.g., React, Angular, Vue)",30,Less,6,Neutral,11,10,788,9,4,50%,Low,Negative,40%
Tyler Schmidt,Mid-Level,Frontend,Cross-platform development,75,CSS,56,Neutral,16,10,170,4,5,55%,Low,Positive,75%
Tyler Schmidt,Senior,Mobile,Mobile app UI/UX design,80,NativeScript,128,Positive,18,1,697,0,1,90%,Low,Negative,70%
Tyler Schmidt,Mid-Level,Frontend,Component-based architecture,75,React,37,Neutral,16,2,604,10,3,55%,Low,Negative,80%
Tyler Schmidt,Senior,Machine Learning,Reinforcement learning,95,Scikit-learn,84,Positive,7,7,368,5,5,60%,High,Positive,85%
Tyler Schmidt,Junior,DevOps,Infrastructure as Code,30,Ansible,27,Neutral,17,1,616,10,3,45%,Low,Positive,30%
Tyler Schmidt,Senior,Machine Learning,Data preprocessing and cleaning,70,TensorFlow,116,Positive,13,4,443,1,1,60%,High,Positive,60%
Tyler Schmidt,Junior,Backend,"Server-side programming (e.g., Python, Node.js)",40,GraphQL,12,Positive,5,5,989,5,4,50%,Low,Positive,45%
Tyler Schmidt,Junior,Machine Learning,Model explainability and interpretability,45,PyTorch,19,Positive,14,3,686,2,5,45%,Low,Negative,35%
Tyler Schmidt,Senior,Backend,Authentication and authorization,85,GraphQL,141,Neutral,15,7,511,7,3,75%,High,Negative,95%
Tyler Schmidt,Mid-Level,Frontend,"State management (e.g., Redux, Vuex)",70,Webpack,69,Positive,12,9,984,10,3,40%,Medium,Positive,45%
Tyler Schmidt,Junior,DevOps,"Containerization (e.g., Docker)",35,Ansible,28,Positive,19,8,843,10,5,40%,High,Positive,50%
Rebecca Schroeder,Junior,DevOps,Automated testing and deployment pipelines,50,Jenkins,32,Negative,8,10,390,6,5,35%,Low,Negative,30%
Rebecca Schroeder,Junior,Backend,Database design and management,45,C#,4,Negative,11,5,811,0,5,45%,Medium,Negative,45%
Rebecca Schroeder,Junior,DevOps,"Orchestration (e.g., Kubernetes)",40,Ansible,32,Neutral,19,1,808,4,4,50%,Medium,Positive,45%
Rebecca Schroeder,Senior,DevOps,Load balancing and scaling,60,GitLab CI/CD,89,Positive,13,10,552,0,4,60%,High,Negative,80%
Rebecca Schroeder,Junior,Mobile,Mobile app security,30,Ionic,25,Positive,19,2,972,4,4,40%,Low,Positive,40%
Rebecca Schroeder,Mid-Level,Machine Learning,Time series analysis,45,Keras,56,Positive,19,4,731,1,4,50%,High,Negative,75%
Rebecca Schroeder,Junior,Mobile,Device compatibility,35,Kotlin,32,Neutral,14,9,797,10,2,30%,Low,Positive,35%
Rebecca Schroeder,Senior,Machine Learning,Unsupervised learning algorithms,75,NumPy,122,Positive,9,9,144,2,3,80%,High,Positive,85%
Rebecca Schroeder,Mid-Level,Machine Learning,Hyperparameter tuning,80,Python,72,Negative,10,9,360,1,2,70%,Medium,Negative,75%
Rebecca Schroeder,Senior,Machine Learning,Hyperparameter tuning,80,PyTorch,101,Neutral,11,4,426,10,1,95%,Medium,Positive,85%
Rebecca Schroeder,Junior,Backend,Websockets and real-time communication,30,GraphQL,35,Positive,12,8,809,7,3,30%,Low,Positive,40%
Rebecca Schroeder,Mid-Level,Machine Learning,"Deep learning models (e.g., neural networks)",55,NumPy,42,Negative,9,6,195,1,4,60%,Low,Positive,80%
Rebecca Schroeder,Junior,Frontend,Browser compatibility,45,Less,3,Negative,17,9,967,10,4,45%,Low,Positive,30%
Rebecca Schroeder,Senior,DevOps,"Cloud platforms (e.g., AWS, Azure, GCP)",90,ELK Stack,75,Positive,13,5,513,0,4,90%,Medium,Negative,95%
Rebecca Schroeder,Senior,DevOps,Log aggregation and analysis,70,GitLab CI/CD,127,Negative,18,8,830,10,1,90%,Low,Positive,80%
Rebecca Schroeder,Senior,Machine Learning,Natural Language Processing (NLP),80,PyTorch,85,Negative,7,2,418,2,2,80%,High,Positive,75%
Rebecca Schroeder,Senior,Machine Learning,Model explainability and interpretability,70,Keras,90,Positive,10,3,786,4,5,95%,Medium,Negative,60%
Rebecca Schroeder,Junior,Frontend,Performance optimization,35,HTML,7,Positive,15,3,207,0,3,40%,Medium,Positive,35%
Rebecca Schroeder,Mid-Level,Frontend,Accessibility considerations,40,React,58,Negative,19,9,903,0,2,45%,Low,Negative,75%
Rebecca Schroeder,Mid-Level,Frontend,Client-side routing,55,Less,67,Positive,8,9,647,0,4,45%,Medium,Positive,70%
Jennifer Cordova,Junior,Frontend,HTML/CSS markup,45,React,17,Negative,5,4,969,2,3,50%,Medium,Negative,50%
Jennifer Cordova,Mid-Level,Frontend,JavaScript/jQuery,75,JavaScript,40,Negative,11,2,894,3,2,45%,High,Negative,55%
Jennifer Cordova,Senior,Machine Learning,Supervised learning algorithms,95,pandas,114,Neutral,9,3,342,7,1,90%,High,Negative,95%
Jennifer Cordova,Mid-Level,DevOps,Server provisioning and configuration,70,Jenkins,66,Positive,10,10,970,8,3,40%,High,Negative,45%
Jennifer Cordova,Junior,Mobile,Offline data storage and synchronization,30,React Native,11,Positive,16,3,324,6,1,40%,Low,Negative,45%
Jennifer Cordova,Junior,DevOps,Security and compliance,35,Jenkins,27,Neutral,11,8,113,6,5,35%,High,Positive,35%
Jennifer Cordova,Mid-Level,Mobile,Mobile app performance optimization,75,Flutter,37,Negative,12,2,315,7,4,50%,Medium,Negative,50%
Jennifer Cordova,Mid-Level,Backend,RESTful services,50,Scala,58,Positive,20,6,116,7,4,45%,Low,Negative,40%
Jennifer Cordova,Junior,DevOps,Performance optimization,30,Kubernetes,26,Negative,18,2,291,6,5,50%,Medium,Negative,50%
Robert Todd,Senior,Mobile,Mobile app deployment to app stores,60,React Native,130,Positive,18,1,171,2,5,60%,Medium,Positive,80%
Robert Todd,Mid-Level,Frontend,AJAX and API integration,75,Sass,63,Positive,8,5,141,10,2,75%,Low,Positive,50%
Robert Todd,Junior,DevOps,Server provisioning and configuration,45,Ansible,16,Negative,7,3,518,0,1,50%,High,Negative,40%
Robert Todd,Mid-Level,DevOps,Server provisioning and configuration,60,GitLab CI/CD,64,Neutral,14,10,832,7,3,40%,Medium,Negative,45%
Robert Todd,Junior,DevOps,"Containerization (e.g., Docker)",35,Kubernetes,2,Positive,8,10,852,8,3,50%,Medium,Negative,30%
Robert Todd,Senior,Machine Learning,Transfer learning,80,Scikit-learn,142,Neutral,15,5,263,10,3,75%,Low,Negative,85%
Robert Todd,Mid-Level,DevOps,Infrastructure as Code,60,GitLab CI/CD,41,Negative,8,9,710,7,5,50%,High,Positive,40%
Robert Todd,Senior,Mobile,Mobile app security,80,Kotlin,136,Neutral,8,6,651,2,2,95%,High,Negative,60%
Robert Todd,Senior,Frontend,HTML/CSS markup,95,Less,130,Negative,10,4,518,0,2,60%,High,Positive,85%
Robert Todd,Senior,Frontend,Client-side routing,75,CSS,134,Neutral,10,10,635,2,2,95%,Medium,Positive,90%
Robert Todd,Junior,Machine Learning,Hyperparameter tuning,35,PyTorch,23,Negative,16,8,467,2,1,45%,Low,Negative,40%
Robert Todd,Senior,DevOps,Security and compliance,95,Jenkins,85,Neutral,16,3,625,8,5,85%,High,Negative,60%
Robert Todd,Senior,DevOps,Monitoring and alerting,95,ELK Stack,90,Positive,5,6,331,10,2,75%,High,Negative,95%
Matthew Gill,Senior,Machine Learning,Natural Language Processing (NLP),85,pandas,95,Negative,20,6,802,9,4,90%,Low,Positive,80%
Matthew Gill,Mid-Level,Frontend,HTML/CSS markup,45,React,39,Negative,12,2,389,5,5,55%,Low,Negative,70%
Matthew Gill,Mid-Level,Frontend,Browser compatibility,75,Vue.js,65,Negative,5,9,781,7,2,55%,Medium,Negative,75%
Matthew Gill,Mid-Level,Mobile,Push notifications,70,PhoneGap,68,Neutral,16,2,415,0,1,50%,Medium,Negative,45%
Matthew Gill,Mid-Level,DevOps,Server provisioning and configuration,70,ELK Stack,50,Neutral,5,3,539,2,4,60%,Medium,Negative,70%
Matthew Gill,Mid-Level,Frontend,HTML/CSS markup,40,JavaScript,55,Positive,10,7,294,6,1,80%,Medium,Negative,60%
Matthew Gill,Senior,Machine Learning,Model training and evaluation,70,pandas,114,Neutral,20,4,503,0,5,75%,Low,Positive,80%
Matthew Gill,Mid-Level,Frontend,User interface design,70,Bootstrap,50,Positive,16,8,538,4,1,60%,Medium,Negative,40%
Matthew Gill,Senior,DevOps,Infrastructure as Code,75,GitLab CI/CD,124,Positive,9,6,615,0,2,80%,High,Negative,75%
Matthew Gill,Mid-Level,Frontend,Component-based architecture,40,Webpack,63,Positive,20,4,130,4,3,70%,Medium,Positive,50%
Matthew Gill,Junior,Mobile,Mobile app testing and debugging,40,NativeScript,4,Neutral,17,5,405,4,5,45%,Medium,Positive,45%
Matthew Gill,Mid-Level,Mobile,Offline data storage and synchronization,60,NativeScript,65,Neutral,8,1,170,0,3,40%,High,Positive,80%
Henry Hicks,Senior,Frontend,"State management (e.g., Redux, Vuex)",95,JavaScript,137,Positive,6,5,239,10,5,80%,Medium,Positive,95%
Henry Hicks,Junior,Frontend,Form validation,40,Bootstrap,35,Neutral,9,10,443,2,1,40%,Medium,Positive,40%
Henry Hicks,Mid-Level,Machine Learning,Supervised learning algorithms,40,OpenCV,54,Positive,14,4,738,6,3,60%,Medium,Positive,55%
Henry Hicks,Senior,Frontend,AJAX and API integration,60,JavaScript,77,Negative,15,3,433,0,5,70%,High,Positive,60%
Henry Hicks,Junior,DevOps,Load balancing and scaling,30,Ansible,20,Positive,12,7,336,0,1,40%,Low,Negative,50%
Henry Hicks,Mid-Level,Frontend,HTML/CSS markup,50,HTML,39,Negative,5,3,444,5,2,40%,Low,Positive,70%
Henry Hicks,Junior,Backend,"Server-side programming (e.g., Python, Node.js)",40,Ruby,12,Neutral,16,7,785,1,2,50%,Medium,Positive,50%
Henry Hicks,Senior,Backend,Third-party integrations,85,Kotlin,138,Positive,12,4,645,0,4,75%,Low,Positive,80%
Henry Hicks,Senior,Mobile,Mobile app security,60,PhoneGap,125,Neutral,13,4,296,5,1,75%,High,Positive,60%
Henry Hicks,Senior,DevOps,Monitoring and alerting,75,Docker,92,Neutral,16,2,494,5,1,85%,Medium,Positive,95%
Henry Hicks,Senior,Mobile,Mobile app security,95,React Native,109,Neutral,6,5,515,2,3,80%,Low,Negative,85%
Henry Hicks,Junior,Mobile,Mobile app deployment to app stores,35,React Native,14,Neutral,11,7,183,2,1,30%,High,Positive,35%
Henry Hicks,Mid-Level,DevOps,Security and compliance,50,Ansible,42,Neutral,9,3,508,4,4,50%,Medium,Negative,55%
Henry Hicks,Junior,Backend,"ORM/ODM (e.g., SQLAlchemy, Mongoose)",50,C#,23,Positive,17,5,124,8,3,40%,Low,Negative,45%
Henry Hicks,Senior,DevOps,Infrastructure as Code,70,GitLab CI/CD,130,Neutral,5,6,784,9,5,70%,Medium,Negative,85%
Henry Hicks,Junior,Backend,Database design and management,45,Java,32,Positive,18,1,708,9,1,30%,Medium,Negative,50%
Henry Hicks,Junior,Frontend,"Frontend frameworks (e.g., React, Angular, Vue)",40,Webpack,9,Neutral,6,5,884,4,2,45%,Medium,Negative,50%
Henry Hicks,Mid-Level,Machine Learning,Natural Language Processing (NLP),40,PyTorch,43,Positive,19,9,578,10,3,55%,Low,Positive,75%
Henry Hicks,Mid-Level,Machine Learning,Feature engineering,75,TensorFlow,62,Positive,17,5,881,5,5,45%,High,Positive,45%
Henry Hicks,Mid-Level,Frontend,"State management (e.g., Redux, Vuex)",40,Sass,65,Positive,13,7,677,2,3,55%,Medium,Positive,55%
Phillip Martinez,Senior,Backend,Data validation and sanitization,75,GraphQL,105,Neutral,20,8,210,9,2,80%,High,Negative,95%
Phillip Martinez,Junior,Frontend,HTML/CSS markup,50,Less,33,Negative,6,6,459,10,4,30%,Medium,Negative,50%
Phillip Martinez,Senior,Backend,"Web framework (e.g., Django, Flask, Express.js)",85,Go,118,Negative,20,1,874,3,3,70%,High,Positive,95%
Phillip Martinez,Junior,Mobile,"Native mobile development (e.g., Swift, Kotlin)",45,Xamarin,2,Negative,9,1,642,10,3,40%,High,Positive,30%
Phillip Martinez,Senior,Machine Learning,Data visualization,75,PyTorch,110,Neutral,14,10,315,1,5,60%,High,Negative,60%
Phillip Martinez,Mid-Level,Machine Learning,"Deep learning models (e.g., neural networks)",70,Scikit-learn,61,Negative,6,9,214,8,5,45%,Medium,Positive,70%
Phillip Martinez,Mid-Level,Backend,Websockets and real-time communication,55,Python,54,Neutral,5,10,302,5,3,50%,Low,Positive,55%
Phillip Martinez,Senior,Machine Learning,Time series analysis,75,TensorFlow,102,Neutral,15,8,855,4,1,85%,Low,Positive,90%
Phillip Martinez,Mid-Level,Backend,Data validation and sanitization,55,Node.js,54,Positive,18,7,891,0,3,80%,Low,Negative,70%
Phillip Martinez,Senior,Machine Learning,Supervised learning algorithms,60,Keras,143,Negative,20,5,109,6,5,95%,High,Negative,95%
Phillip Martinez,Junior,Machine Learning,Model deployment and serving,30,Scikit-learn,4,Neutral,9,1,858,4,3,30%,Low,Negative,50%
Phillip Martinez,Senior,Backend,Data validation and sanitization,90,Scala,85,Neutral,11,6,866,8,3,95%,Low,Negative,70%
Phillip Martinez,Mid-Level,Frontend,User interface design,70,React,71,Positive,18,3,722,6,2,60%,Low,Negative,60%
Phillip Martinez,Senior,Mobile,Push notifications,80,PhoneGap,134,Negative,12,10,678,6,3,80%,Low,Positive,75%
Phillip Martinez,Mid-Level,Mobile,"Native mobile development (e.g., Swift, Kotlin)",45,Xamarin,42,Neutral,8,6,924,8,4,50%,Medium,Positive,80%
Richard Price,Senior,Machine Learning,"Deep learning models (e.g., neural networks)",60,OpenCV,82,Negative,20,4,267,8,2,80%,High,Negative,60%
Richard Price,Junior,Mobile,Mobile app UI/UX design,35,Flutter,17,Neutral,17,1,385,10,1,50%,High,Positive,40%
Richard Price,Junior,Backend,Background processing/jobs,40,Java,17,Negative,17,10,343,4,2,40%,Low,Negative,30%
Richard Price,Junior,Machine Learning,Reinforcement learning,45,pandas,25,Neutral,10,3,454,4,5,30%,Medium,Negative,30%
Richard Price,Senior,Backend,"ORM/ODM (e.g., SQLAlchemy, Mongoose)",80,Scala,138,Positive,19,8,925,4,3,95%,High,Negative,90%
Richard Price,Junior,Frontend,AJAX and API integration,40,Less,12,Neutral,19,5,814,5,1,50%,Low,Positive,50%
Richard Price,Mid-Level,Frontend,"State management (e.g., Redux, Vuex)",55,JavaScript,69,Neutral,17,8,966,3,1,70%,Medium,Positive,80%
Richard Price,Junior,Mobile,"Native mobile development (e.g., Swift, Kotlin)",40,Swift,2,Negative,11,4,164,7,3,45%,High,Negative,50%
Richard Price,Senior,Machine Learning,Unsupervised learning algorithms,90,Python,93,Neutral,20,3,178,4,2,70%,Low,Negative,85%
Richard Price,Senior,DevOps,Security and compliance,75,Jenkins,90,Negative,19,5,143,0,5,60%,Medium,Positive,85%
Richard Price,Senior,Frontend,User interface design,70,Less,95,Positive,12,3,368,4,1,75%,Low,Positive,80%
Richard Price,Mid-Level,Backend,Data validation and sanitization,70,Node.js,60,Neutral,20,4,109,8,1,70%,Medium,Negative,40%
Richard Price,Mid-Level,Backend,Websockets and real-time communication,50,GraphQL,49,Positive,20,2,861,2,2,45%,High,Negative,60%
Richard Price,Senior,Frontend,Form validation,80,Sass,142,Neutral,14,1,413,7,3,90%,Low,Positive,80%
Richard Price,Senior,Frontend,Accessibility considerations,75,Vue.js,73,Neutral,19,7,614,5,3,85%,Medium,Positive,90%
Richard Price,Senior,Mobile,Device compatibility,90,Flutter,75,Neutral,5,6,105,4,1,90%,Medium,Negative,70%
Richard Price,Mid-Level,DevOps,Continuous Integration and Deployment (CI/CD),50,Prometheus,52,Positive,11,1,756,1,3,75%,High,Negative,60%
Richard Price,Senior,Machine Learning,Supervised learning algorithms,60,NumPy,136,Positive,17,3,930,1,3,95%,Low,Negative,95%
Angela Tucker,Junior,Machine Learning,Time series analysis,45,Python,23,Neutral,12,1,531,0,5,30%,Medium,Negative,30%
Angela Tucker,Senior,Machine Learning,Model deployment and serving,75,Python,80,Neutral,14,6,513,6,1,70%,Low,Negative,95%
Angela Tucker,Junior,Frontend,User interface design,45,React,27,Positive,17,9,660,4,5,40%,High,Positive,50%
Angela Tucker,Senior,Backend,Websockets and real-time communication,60,Node.js,123,Negative,18,10,444,9,2,95%,High,Positive,70%
Angela Tucker,Senior,Frontend,Cross-platform development,75,Bootstrap,124,Neutral,20,4,578,1,4,95%,High,Negative,90%
Angela Tucker,Senior,DevOps,"Containerization (e.g., Docker)",75,Prometheus,140,Neutral,7,3,895,1,2,90%,High,Positive,80%
Raymond Keller DVM,Junior,Mobile,Mobile app security,40,NativeScript,5,Neutral,9,10,820,0,5,50%,High,Negative,45%
Raymond Keller DVM,Mid-Level,DevOps,Backup and disaster recovery,55,GitLab CI/CD,71,Negative,14,5,283,0,3,60%,Low,Positive,80%
Raymond Keller DVM,Mid-Level,Frontend,Performance optimization,45,Vue.js,72,Neutral,6,6,796,5,4,80%,Low,Positive,80%
Raymond Keller DVM,Senior,Machine Learning,Hyperparameter tuning,85,OpenCV,105,Neutral,19,5,472,7,1,95%,High,Positive,95%
Raymond Keller DVM,Senior,Mobile,Offline data storage and synchronization,90,PhoneGap,118,Positive,6,9,587,2,4,95%,High,Positive,60%
Raymond Keller DVM,Senior,Mobile,Mobile app performance optimization,95,Kotlin,131,Positive,9,7,471,4,2,95%,Low,Positive,85%
Raymond Keller DVM,Junior,DevOps,Infrastructure as Code,35,Jenkins,28,Positive,19,4,994,10,2,40%,Low,Negative,35%
Raymond Keller DVM,Mid-Level,Machine Learning,Computer Vision,70,TensorFlow,50,Neutral,9,9,419,9,5,50%,Medium,Positive,60%
Raymond Keller DVM,Senior,Machine Learning,Data visualization,90,OpenCV,125,Neutral,16,6,703,9,5,80%,Medium,Positive,75%
Raymond Keller DVM,Junior,Machine Learning,Model explainability and interpretability,35,Scikit-learn,21,Negative,16,5,868,7,3,50%,High,Positive,30%
Raymond Keller DVM,Junior,Backend,"ORM/ODM (e.g., SQLAlchemy, Mongoose)",40,C#,6,Positive,6,3,107,8,3,40%,High,Negative,35%
Raymond Keller DVM,Junior,Frontend,HTML/CSS markup,30,Sass,11,Neutral,10,7,696,7,2,30%,Medium,Positive,50%
Raymond Keller DVM,Junior,Frontend,JavaScript/jQuery,30,HTML,11,Negative,19,10,216,9,5,40%,High,Negative,45%
Raymond Keller DVM,Senior,Frontend,"State management (e.g., Redux, Vuex)",85,Sass,114,Neutral,18,1,887,8,5,70%,High,Negative,85%
Raymond Keller DVM,Junior,DevOps,"Orchestration (e.g., Kubernetes)",35,Docker,29,Neutral,9,8,988,10,3,40%,High,Positive,40%
Raymond Keller DVM,Mid-Level,Frontend,"Frontend frameworks (e.g., React, Angular, Vue)",45,Angular,57,Negative,7,8,294,10,3,70%,High,Positive,75%
Raymond Keller DVM,Mid-Level,Machine Learning,Natural Language Processing (NLP),45,PyTorch,66,Negative,9,10,276,8,3,55%,High,Positive,40%
Raymond Keller DVM,Mid-Level,Frontend,User interface design,50,HTML,51,Negative,7,2,448,10,1,80%,Low,Negative,55%
Raymond Keller DVM,Mid-Level,Backend,"ORM/ODM (e.g., SQLAlchemy, Mongoose)",55,PHP,53,Negative,18,5,723,6,4,50%,High,Positive,50%
Raymond Keller DVM,Junior,Frontend,JavaScript/jQuery,35,Sass,27,Negative,12,1,876,7,4,30%,Low,Negative,45%
Raymond Keller DVM,Mid-Level,Mobile,"Cross-platform mobile development (e.g., Flutter, React Native)",60,NativeScript,50,Negative,20,9,665,10,1,50%,High,Negative,75%
Raymond Keller DVM,Mid-Level,Mobile,Mobile app UI/UX design,55,NativeScript,70,Neutral,19,9,959,2,4,40%,Low,Negative,60%
Raymond Keller DVM,Senior,Backend,API development,90,Ruby,91,Positive,17,6,981,3,1,60%,Medium,Negative,80%
Raymond Keller DVM,Mid-Level,Mobile,Push notifications,40,Swift,44,Negative,18,7,546,4,3,75%,High,Negative,55%
Raymond Keller DVM,Junior,Frontend,JavaScript/jQuery,30,CSS,2,Negative,15,8,548,3,2,35%,Medium,Positive,40%
Raymond Keller DVM,Senior,Backend,RESTful services,90,Go,130,Negative,15,2,296,8,4,95%,Low,Negative,80%
Raymond Keller DVM,Mid-Level,Backend,Third-party integrations,45,C#,66,Neutral,14,3,519,6,4,60%,High,Negative,60%
James Nash,Mid-Level,Mobile,Mobile app deployment to app stores,40,Flutter,69,Negative,16,6,518,8,5,45%,Low,Positive,70%
James Nash,Junior,Mobile,Mobile app testing and debugging,40,Ionic,5,Positive,14,2,433,9,2,35%,Medium,Negative,40%
James Nash,Mid-Level,Frontend,Form validation,80,CSS,43,Negative,9,4,546,1,4,80%,Medium,Negative,45%
James Nash,Senior,Mobile,"Cross-platform mobile development (e.g., Flutter, React Native)",95,Ionic,102,Positive,20,3,174,0,2,60%,High,Positive,70%
James Nash,Senior,Frontend,Form validation,95,Less,77,Negative,14,7,264,4,3,80%,Low,Positive,90%
James Nash,Junior,DevOps,Continuous Integration and Deployment (CI/CD),45,Terraform,14,Positive,8,2,959,3,1,50%,Low,Negative,45%
James Nash,Mid-Level,Machine Learning,Reinforcement learning,60,OpenCV,71,Neutral,11,7,716,9,2,55%,High,Positive,80%
James Nash,Mid-Level,Mobile,"Native mobile development (e.g., Swift, Kotlin)",70,Flutter,51,Neutral,11,7,499,9,4,40%,Medium,Positive,45%
James Nash,Senior,Backend,Database design and management,70,Kotlin,128,Neutral,14,10,223,9,2,95%,Low,Negative,75%
James Nash,Junior,DevOps,"Containerization (e.g., Docker)",50,Docker,19,Negative,7,3,196,6,1,35%,High,Negative,45%
James Nash,Mid-Level,DevOps,Performance optimization,70,Docker,48,Negative,16,8,458,10,1,45%,Medium,Positive,60%
Anna Lopez,Junior,Machine Learning,Supervised learning algorithms,45,TensorFlow,21,Neutral,14,9,965,3,4,50%,Medium,Positive,45%
Anna Lopez,Senior,Frontend,Cross-platform development,70,Sass,80,Positive,18,7,972,4,3,90%,Low,Positive,85%
Anna Lopez,Mid-Level,Mobile,"Cross-platform mobile development (e.g., Flutter, React Native)",60,Swift,49,Neutral,16,5,873,0,4,55%,High,Positive,50%
Anna Lopez,Senior,Machine Learning,Supervised learning algorithms,75,PyTorch,81,Negative,16,2,870,5,5,70%,High,Positive,75%
Anna Lopez,Junior,Backend,Websockets and real-time communication,40,Ruby,18,Negative,10,8,332,4,3,40%,High,Positive,30%
Anna Lopez,Senior,Mobile,"Cross-platform mobile development (e.g., Flutter, React Native)",90,PhoneGap,108,Negative,9,10,465,9,5,60%,Low,Negative,95%
Anna Lopez,Junior,Frontend,Responsive web design,30,JavaScript,19,Positive,10,3,209,8,5,30%,High,Positive,50%
Anna Lopez,Junior,Backend,API development,45,Node.js,34,Neutral,13,2,191,5,4,50%,Medium,Negative,45%
Anna Lopez,Junior,Machine Learning,Feature engineering,30,Python,31,Negative,5,1,476,1,1,30%,Medium,Negative,35%
Anna Lopez,Junior,Machine Learning,Transfer learning,50,PyTorch,28,Positive,12,9,177,9,5,30%,Medium,Negative,40%
Anna Lopez,Senior,DevOps,Monitoring and alerting,85,Prometheus,101,Negative,20,5,426,2,5,70%,Medium,Positive,85%
Anna Lopez,Mid-Level,Machine Learning,"Deep learning models (e.g., neural networks)",55,NumPy,67,Neutral,9,3,848,0,5,45%,High,Negative,50%
Anna Lopez,Junior,Frontend,Responsive web design,45,HTML,18,Positive,6,3,627,7,2,50%,High,Positive,45%
Anna Lopez,Mid-Level,DevOps,Server provisioning and configuration,45,Ansible,47,Negative,11,1,643,8,5,40%,Medium,Negative,60%
Anna Lopez,Mid-Level,Backend,"ORM/ODM (e.g., SQLAlchemy, Mongoose)",55,C#,61,Neutral,15,4,181,7,3,45%,High,Positive,75%
Anna Lopez,Junior,Mobile,Offline data storage and synchronization,40,Ionic,23,Negative,18,7,964,6,3,35%,Low,Negative,50%
Anna Lopez,Junior,DevOps,Continuous Integration and Deployment (CI/CD),50,Docker,20,Neutral,7,8,914,5,3,45%,Medium,Negative,50%
Anna Lopez,Junior,Frontend,Component-based architecture,50,Less,17,Neutral,16,3,887,2,4,35%,High,Negative,50%
Anna Lopez,Mid-Level,Machine Learning,Natural Language Processing (NLP),80,TensorFlow,71,Neutral,5,6,590,1,2,45%,Low,Positive,40%
Anna Lopez,Mid-Level,DevOps,Continuous Integration and Deployment (CI/CD),60,Prometheus,63,Negative,9,3,886,9,2,80%,Medium,Negative,45%
Anna Lopez,Mid-Level,Frontend,Accessibility considerations,80,Webpack,64,Neutral,18,9,301,3,1,45%,Medium,Positive,75%
Anna Lopez,Junior,Frontend,Form validation,40,Bootstrap,7,Positive,14,6,334,10,1,30%,Low,Positive,35%
Anna Lopez,Senior,DevOps,"Containerization (e.g., Docker)",60,Ansible,122,Positive,17,3,176,10,1,90%,Medium,Negative,60%
Elizabeth Herrera,Mid-Level,DevOps,Automated testing and deployment pipelines,50,ELK Stack,40,Neutral,16,2,901,0,1,50%,Low,Positive,50%
Elizabeth Herrera,Junior,Mobile,Mobile app deployment to app stores,45,PhoneGap,28,Neutral,17,6,390,6,2,30%,High,Positive,30%
Elizabeth Herrera,Mid-Level,Frontend,"State management (e.g., Redux, Vuex)",55,Sass,59,Negative,7,7,887,9,1,50%,Medium,Positive,80%
Elizabeth Herrera,Junior,Frontend,Form validation,35,Bootstrap,5,Positive,17,7,581,9,2,35%,High,Negative,50%
Elizabeth Herrera,Mid-Level,Machine Learning,Natural Language Processing (NLP),70,Scikit-learn,53,Positive,6,3,127,5,5,40%,Medium,Positive,70%
Elizabeth Herrera,Junior,Frontend,Responsive web design,45,React,28,Positive,8,5,448,1,1,50%,Medium,Negative,35%
Elizabeth Herrera,Junior,Machine Learning,Model training and evaluation,40,TensorFlow,4,Negative,16,1,963,3,3,35%,Medium,Negative,50%
Elizabeth Herrera,Mid-Level,Machine Learning,Model training and evaluation,50,pandas,69,Negative,17,5,468,0,3,55%,Medium,Negative,60%
Elizabeth Herrera,Junior,DevOps,Load balancing and scaling,30,ELK Stack,1,Positive,5,9,140,7,3,35%,High,Positive,45%
Elizabeth Herrera,Senior,DevOps,Log aggregation and analysis,95,Jenkins,139,Negative,19,6,731,4,4,80%,High,Negative,60%
Elizabeth Herrera,Senior,Backend,Security and encryption,80,PHP,111,Negative,20,6,531,2,1,60%,Medium,Negative,75%
Elizabeth Herrera,Senior,Machine Learning,Data preprocessing and cleaning,75,Python,143,Positive,15,4,623,5,1,95%,Medium,Positive,80%
Michael Collins,Senior,Frontend,Client-side routing,60,JavaScript,84,Neutral,6,5,946,4,5,95%,Low,Negative,70%
Michael Collins,Senior,Frontend,Responsive web design,80,Sass,133,Neutral,18,4,215,0,2,80%,High,Negative,90%
Michael Collins,Junior,Machine Learning,Time series analysis,50,OpenCV,30,Positive,8,1,888,3,2,35%,High,Positive,45%
Michael Collins,Mid-Level,Backend,RESTful services,60,Go,43,Positive,19,3,372,10,1,75%,High,Negative,45%
Michael Collins,Junior,Backend,Database design and management,40,Python,26,Neutral,12,5,151,6,2,45%,Low,Negative,30%
Michael Collins,Mid-Level,DevOps,Infrastructure as Code,75,Jenkins,41,Neutral,11,9,958,5,5,60%,Medium,Positive,75%
Michael Collins,Senior,DevOps,Server provisioning and configuration,90,Jenkins,122,Positive,12,9,722,8,5,90%,Medium,Negative,75%
Michael Collins,Junior,Frontend,Browser compatibility,35,JavaScript,5,Neutral,19,4,935,10,3,40%,High,Negative,45%
Michael Collins,Junior,Frontend,Form validation,30,CSS,27,Positive,7,3,845,8,5,50%,High,Positive,45%
Michael Collins,Senior,DevOps,"Cloud platforms (e.g., AWS, Azure, GCP)",70,Kubernetes,87,Negative,11,7,542,4,3,80%,Low,Negative,75%
Michael Collins,Mid-Level,DevOps,Continuous Integration and Deployment (CI/CD),75,Docker,44,Negative,5,5,831,5,2,80%,Medium,Negative,60%
Michael Collins,Junior,Frontend,"State management (e.g., Redux, Vuex)",35,Angular,23,Positive,8,8,986,0,1,50%,Low,Negative,50%
Michael Collins,Senior,Frontend,Client-side routing,95,Sass,101,Negative,15,1,366,1,1,85%,Low,Positive,80%
Michael Collins,Junior,Backend,API development,45,Node.js,20,Neutral,17,5,566,8,5,35%,High,Negative,40%
Michael Collins,Junior,Frontend,"Frontend frameworks (e.g., React, Angular, Vue)",30,Angular,10,Neutral,18,8,916,10,2,30%,High,Positive,30%
Michael Collins,Senior,DevOps,"Orchestration (e.g., Kubernetes)",70,Docker,132,Negative,5,6,805,4,3,85%,High,Positive,95%
Michael Collins,Senior,Frontend,"Frontend frameworks (e.g., React, Angular, Vue)",75,Less,91,Negative,12,9,333,8,3,85%,High,Positive,70%
Michael Collins,Senior,Mobile,Offline data storage and synchronization,80,Ionic,88,Positive,13,10,448,4,4,80%,Low,Negative,80%
Michael Collins,Junior,Machine Learning,"Deep learning models (e.g., neural networks)",40,Python,22,Neutral,12,10,450,9,4,35%,Medium,Negative,50%
Michael Collins,Junior,Backend,Data validation and sanitization,45,PHP,33,Neutral,10,9,264,1,4,50%,Medium,Positive,40%
Michael Collins,Junior,Machine Learning,Computer Vision,35,Keras,21,Positive,5,10,515,3,2,40%,Low,Negative,30%
Michael Collins,Junior,Frontend,HTML/CSS markup,30,Bootstrap,8,Neutral,6,1,313,6,4,30%,Low,Positive,35%
Michael Collins,Senior,Backend,Caching strategies,95,Kotlin,142,Negative,9,10,617,0,5,75%,Low,Negative,60%
Michael Collins,Senior,Mobile,Push notifications,85,NativeScript,118,Positive,17,1,700,3,4,80%,Low,Negative,95%
Michael Collins,Mid-Level,Machine Learning,"Deep learning models (e.g., neural networks)",45,pandas,71,Positive,14,5,192,0,3,45%,High,Negative,40%
Michael Collins,Senior,DevOps,Server provisioning and configuration,90,GitLab CI/CD,109,Neutral,14,5,108,2,4,90%,High,Positive,60%
William Roth,Senior,DevOps,"Containerization (e.g., Docker)",60,Docker,140,Negative,14,3,780,1,4,85%,High,Positive,60%
William Roth,Mid-Level,Backend,Security and encryption,75,C#,60,Negative,8,7,582,8,2,80%,High,Positive,75%
William Roth,Junior,Mobile,Offline data storage and synchronization,50,PhoneGap,24,Positive,19,2,511,3,1,40%,High,Positive,40%
William Roth,Senior,Backend,API development,75,C#,127,Negative,7,3,886,6,3,75%,Low,Positive,70%
William Roth,Junior,Backend,Websockets and real-time communication,35,Node.js,29,Negative,13,5,304,6,4,40%,High,Positive,40%
William Roth,Junior,Backend,Data validation and sanitization,35,C#,25,Neutral,19,9,707,10,1,30%,Medium,Positive,50%
William Roth,Mid-Level,Machine Learning,Time series analysis,50,TensorFlow,71,Negative,19,9,358,8,4,60%,High,Positive,80%
William Roth,Senior,Frontend,Component-based architecture,90,Webpack,99,Positive,20,2,386,8,1,80%,Medium,Positive,90%
William Roth,Senior,Backend,Authentication and authorization,75,Ruby,112,Negative,15,1,385,0,1,80%,Medium,Positive,90%
William Roth,Junior,Machine Learning,Data preprocessing and cleaning,30,pandas,35,Negative,5,5,979,10,4,30%,High,Negative,30%
William Roth,Mid-Level,DevOps,Infrastructure as Code,60,GitLab CI/CD,54,Positive,15,8,818,0,3,75%,High,Positive,80%
William Roth,Junior,DevOps,Load balancing and scaling,35,Kubernetes,17,Positive,11,9,120,3,2,50%,Low,Negative,30%
William Roth,Junior,Backend,Authentication and authorization,50,C#,32,Negative,11,7,376,2,2,50%,High,Negative,35%
William Roth,Junior,Frontend,HTML/CSS markup,30,Bootstrap,18,Positive,11,5,480,3,2,35%,Low,Negative,35%
William Roth,Senior,Frontend,AJAX and API integration,60,Angular,136,Neutral,15,6,596,7,5,75%,Medium,Negative,60%
William Roth,Junior,Mobile,Push notifications,30,Ionic,35,Positive,11,2,345,3,3,30%,High,Positive,30%
William Roth,Mid-Level,DevOps,Performance optimization,55,Ansible,56,Neutral,20,9,778,8,2,45%,Medium,Negative,45%
William Roth,Senior,Mobile,Mobile app testing and debugging,85,Ionic,106,Neutral,17,4,970,0,1,80%,Low,Positive,80%
William Roth,Mid-Level,Backend,Background processing/jobs,55,C#,52,Positive,19,3,161,7,3,80%,Low,Positive,70%
William Roth,Junior,Mobile,Push notifications,50,Kotlin,2,Positive,19,8,610,1,4,45%,Low,Positive,35%
William Roth,Mid-Level,Frontend,Component-based architecture,75,CSS,59,Positive,5,3,146,1,1,60%,Medium,Positive,55%
William Roth,Senior,Backend,Websockets and real-time communication,95,GraphQL,98,Negative,5,7,982,10,5,85%,Medium,Positive,90%
William Roth,Senior,Frontend,Browser compatibility,60,Sass,73,Neutral,12,2,321,5,3,80%,Low,Positive,90%
William Roth,Junior,Mobile,Mobile app security,40,Flutter,8,Neutral,14,2,966,1,2,50%,Low,Negative,50%
William Roth,Mid-Level,Frontend,User interface design,80,Angular,41,Positive,16,2,940,0,4,75%,Medium,Positive,50%
William Roth,Mid-Level,Mobile,"Native mobile development (e.g., Swift, Kotlin)",40,React Native,58,Negative,13,8,690,5,5,75%,Low,Positive,75%
William Roth,Junior,Machine Learning,Computer Vision,45,Scikit-learn,8,Negative,11,6,362,5,3,45%,Low,Negative,40%
William Roth,Junior,Machine Learning,Natural Language Processing (NLP),40,Keras,17,Positive,12,3,659,9,4,50%,Medium,Positive,35%
William Roth,Mid-Level,Machine Learning,Model deployment and serving,75,OpenCV,71,Negative,8,6,902,0,1,60%,Medium,Negative,50%
William Roth,Junior,Backend,Background processing/jobs,30,Ruby,13,Positive,18,3,797,3,4,35%,High,Positive,45%
Brandy George,Mid-Level,DevOps,Security and compliance,80,GitLab CI/CD,51,Negative,20,6,311,2,5,60%,Low,Negative,40%
Brandy George,Mid-Level,Backend,Caching strategies,80,Python,71,Negative,7,2,913,7,2,50%,High,Positive,75%
Brandy George,Junior,Frontend,Performance optimization,40,Angular,24,Negative,9,10,726,1,5,50%,High,Negative,35%
Brandy George,Senior,Machine Learning,Reinforcement learning,90,NumPy,142,Positive,7,5,423,5,1,60%,Medium,Negative,60%
Brandy George,Mid-Level,Machine Learning,Natural Language Processing (NLP),45,NumPy,70,Negative,14,2,849,5,1,70%,High,Positive,55%
Brandy George,Junior,Machine Learning,"Deep learning models (e.g., neural networks)",35,TensorFlow,16,Negative,13,4,556,3,1,35%,High,Negative,40%
Brandy George,Senior,Mobile,"Cross-platform mobile development (e.g., Flutter, React Native)",85,React Native,131,Negative,17,5,928,2,2,60%,Medium,Negative,60%
Melissa Peterson,Senior,Backend,Websockets and real-time communication,90,Node.js,139,Positive,9,5,627,10,1,75%,Medium,Negative,90%
Melissa Peterson,Senior,DevOps,"Cloud platforms (e.g., AWS, Azure, GCP)",60,Prometheus,115,Positive,12,9,888,5,2,60%,High,Negative,80%
Melissa Peterson,Junior,Frontend,User interface design,30,React,8,Negative,17,10,345,8,1,45%,High,Negative,35%
Melissa Peterson,Mid-Level,DevOps,Continuous Integration and Deployment (CI/CD),80,Ansible,55,Positive,10,10,245,6,4,45%,Low,Negative,50%
Melissa Peterson,Junior,Machine Learning,Feature engineering,50,PyTorch,27,Neutral,13,5,804,6,2,35%,Medium,Positive,30%
Melissa Peterson,Senior,Backend,Websockets and real-time communication,75,C#,119,Negative,11,8,875,9,3,75%,Low,Negative,75%
Melissa Peterson,Mid-Level,Frontend,Client-side routing,45,JavaScript,66,Positive,15,5,201,5,5,70%,High,Positive,45%
Melissa Peterson,Mid-Level,DevOps,Performance optimization,80,GitLab CI/CD,65,Neutral,18,5,104,8,1,55%,High,Positive,60%
Melissa Peterson,Mid-Level,Mobile,"Native mobile development (e.g., Swift, Kotlin)",70,Flutter,72,Positive,14,7,341,1,4,75%,High,Negative,80%
Melissa Peterson,Junior,Backend,Security and encryption,40,Go,15,Positive,6,7,977,0,4,35%,Medium,Positive,45%
Melissa Peterson,Mid-Level,Backend,Background processing/jobs,50,GraphQL,64,Negative,16,10,564,0,1,55%,Low,Positive,55%
Melissa Peterson,Junior,Machine Learning,Transfer learning,30,Scikit-learn,17,Negative,20,8,787,9,5,45%,High,Positive,30%
Melissa Peterson,Junior,Mobile,"Native mobile development (e.g., Swift, Kotlin)",30,Ionic,27,Neutral,17,2,429,2,4,45%,Medium,Negative,35%
Melissa Peterson,Senior,Machine Learning,Data visualization,80,Python,134,Positive,19,4,870,6,3,60%,High,Negative,60%
Melissa Peterson,Mid-Level,Frontend,Component-based architecture,70,CSS,66,Positive,5,10,860,8,2,75%,High,Positive,50%
Melissa Peterson,Senior,Mobile,"Cross-platform mobile development (e.g., Flutter, React Native)",80,NativeScript,102,Negative,10,10,720,6,2,85%,Low,Positive,95%
Melissa Peterson,Junior,DevOps,"Containerization (e.g., Docker)",40,Docker,3,Negative,7,8,557,10,3,35%,Medium,Negative,45%
Melissa Peterson,Senior,Machine Learning,Supervised learning algorithms,90,NumPy,119,Neutral,17,2,418,2,2,95%,Medium,Positive,60%
Michael Ramirez,Mid-Level,Machine Learning,Time series analysis,75,OpenCV,67,Negative,13,10,590,1,4,70%,High,Positive,70%
Michael Ramirez,Mid-Level,Mobile,Mobile app deployment to app stores,45,Xamarin,60,Negative,16,3,104,6,1,75%,High,Positive,80%
Michael Ramirez,Mid-Level,Mobile,Mobile app performance optimization,40,Ionic,51,Negative,17,2,354,6,2,50%,Medium,Positive,75%
Michael Ramirez,Mid-Level,Machine Learning,Supervised learning algorithms,80,pandas,70,Negative,20,2,192,2,4,80%,Low,Negative,80%
Michael Ramirez,Mid-Level,Mobile,Offline data storage and synchronization,80,NativeScript,57,Positive,7,5,621,0,4,75%,High,Negative,70%
Michael Ramirez,Junior,Mobile,Mobile app performance optimization,50,Swift,29,Neutral,11,10,248,3,5,30%,Medium,Positive,50%
Michael Ramirez,Senior,Machine Learning,Computer Vision,75,Scikit-learn,96,Negative,12,7,551,6,1,75%,Low,Positive,70%
Michael Ramirez,Mid-Level,Mobile,Push notifications,55,React Native,47,Negative,11,10,124,7,3,60%,High,Negative,75%
Michael Ramirez,Mid-Level,Mobile,"Native mobile development (e.g., Swift, Kotlin)",50,Swift,61,Negative,13,6,167,6,1,60%,Low,Positive,40%
Michael Ramirez,Senior,DevOps,Infrastructure as Code,70,Kubernetes,131,Neutral,6,2,123,9,2,70%,Low,Positive,95%
Michael Ramirez,Mid-Level,Frontend,HTML/CSS markup,70,JavaScript,62,Negative,12,7,926,8,5,50%,Low,Negative,60%
Michael Ramirez,Senior,Mobile,Device compatibility,85,Flutter,98,Neutral,17,1,764,1,2,90%,High,Positive,85%
Michael Ramirez,Junior,Mobile,"Native mobile development (e.g., Swift, Kotlin)",45,Xamarin,12,Positive,9,3,369,7,1,50%,Medium,Positive,35%
Michael Ramirez,Senior,Mobile,Push notifications,60,Kotlin,74,Negative,15,1,684,4,2,80%,High,Positive,70%
Michael Ramirez,Junior,Mobile,Device compatibility,50,React Native,30,Positive,10,9,983,9,5,45%,High,Positive,35%
Michael Ramirez,Senior,Backend,"Server-side programming (e.g., Python, Node.js)",75,Java,88,Neutral,7,7,862,2,3,95%,Medium,Positive,80%
Michael Ramirez,Senior,DevOps,Continuous Integration and Deployment (CI/CD),90,Terraform,131,Neutral,20,6,595,9,4,60%,Low,Positive,80%
Michael Ramirez,Junior,DevOps,Infrastructure as Code,35,Kubernetes,30,Positive,9,6,230,7,3,30%,Medium,Negative,35%
Michael Ramirez,Mid-Level,Machine Learning,Data visualization,55,Scikit-learn,48,Neutral,11,8,407,7,3,70%,High,Negative,45%
Michael Ramirez,Senior,Mobile,"Cross-platform mobile development (e.g., Flutter, React Native)",60,Xamarin,85,Neutral,18,6,552,8,5,80%,High,Negative,75%
Michael Ramirez,Senior,Machine Learning,Reinforcement learning,75,PyTorch,75,Negative,5,4,235,1,1,60%,Medium,Positive,60%
Michael Ramirez,Junior,Mobile,Push notifications,45,Xamarin,29,Negative,10,2,582,4,2,30%,Low,Negative,30%
Michael Ramirez,Senior,DevOps,Security and compliance,95,Prometheus,94,Positive,5,10,652,2,3,75%,Low,Positive,75%
Tracy Douglas,Mid-Level,Frontend,JavaScript/jQuery,75,JavaScript,68,Negative,6,3,390,1,3,75%,Medium,Negative,80%
Tracy Douglas,Senior,Frontend,"Frontend frameworks (e.g., React, Angular, Vue)",60,HTML,117,Positive,20,10,169,8,3,70%,High,Negative,80%
Tracy Douglas,Senior,Mobile,Mobile app deployment to app stores,70,Kotlin,144,Positive,14,5,121,0,4,85%,Medium,Negative,90%
Tracy Douglas,Mid-Level,Mobile,Mobile app deployment to app stores,60,Xamarin,44,Positive,20,5,988,1,5,60%,Medium,Positive,70%
Tracy Douglas,Senior,Machine Learning,Computer Vision,85,Scikit-learn,106,Positive,18,6,343,0,4,70%,Low,Positive,90%
Tracy Douglas,Senior,Machine Learning,Model deployment and serving,95,Keras,122,Neutral,8,4,365,3,2,75%,High,Negative,80%
Tracy Douglas,Senior,Frontend,"State management (e.g., Redux, Vuex)",80,HTML,96,Positive,16,9,464,1,2,85%,Medium,Positive,85%
Tracy Douglas,Senior,Machine Learning,Reinforcement learning,95,PyTorch,143,Negative,18,5,502,6,4,85%,Low,Positive,75%
Tracy Douglas,Senior,Mobile,Device compatibility,95,Xamarin,120,Negative,18,5,862,10,4,80%,Medium,Positive,60%
James Johnson,Senior,Machine Learning,Hyperparameter tuning,95,TensorFlow,134,Positive,20,10,304,1,2,80%,High,Positive,95%
James Johnson,Junior,DevOps,Performance optimization,35,Kubernetes,8,Positive,19,6,665,6,2,40%,High,Positive,40%
James Johnson,Junior,Frontend,HTML/CSS markup,40,JavaScript,10,Neutral,13,6,468,5,1,45%,Medium,Positive,45%
James Johnson,Mid-Level,Frontend,JavaScript/jQuery,75,Angular,52,Neutral,5,10,570,0,3,50%,High,Negative,70%
James Johnson,Senior,Backend,"ORM/ODM (e.g., SQLAlchemy, Mongoose)",70,Scala,141,Positive,8,8,885,1,2,90%,High,Negative,75%
James Johnson,Senior,Machine Learning,Reinforcement learning,85,NumPy,99,Negative,15,7,739,1,1,95%,Low,Positive,75%
James Johnson,Junior,DevOps,Log aggregation and analysis,40,ELK Stack,10,Positive,16,9,592,6,3,40%,Low,Positive,35%
James Johnson,Junior,Frontend,Component-based architecture,35,React,12,Positive,7,7,885,3,4,45%,Medium,Positive,30%
James Johnson,Senior,Mobile,Mobile app testing and debugging,80,React Native,100,Negative,15,6,668,7,3,90%,Low,Negative,70%
James Johnson,Junior,Backend,"ORM/ODM (e.g., SQLAlchemy, Mongoose)",45,Go,24,Neutral,18,1,355,8,4,35%,Medium,Positive,40%
James Johnson,Mid-Level,DevOps,Automated testing and deployment pipelines,40,Prometheus,63,Positive,16,6,301,6,5,75%,Medium,Negative,45%
James Johnson,Mid-Level,Frontend,JavaScript/jQuery,50,React,67,Positive,18,5,356,7,3,50%,Medium,Positive,40%
James Johnson,Junior,Backend,"Web framework (e.g., Django, Flask, Express.js)",40,Python,15,Positive,15,3,370,4,1,45%,High,Positive,50%
James Johnson,Senior,Mobile,Mobile app performance optimization,75,React Native,76,Neutral,10,9,138,1,2,90%,High,Negative,75%
James Johnson,Mid-Level,Backend,Background processing/jobs,70,C#,54,Negative,15,2,187,5,4,45%,Medium,Negative,55%
James Johnson,Junior,Machine Learning,Supervised learning algorithms,35,Scikit-learn,17,Neutral,9,7,830,9,3,35%,Low,Positive,35%
James Johnson,Junior,Machine Learning,Feature engineering,50,PyTorch,33,Negative,7,1,235,9,3,40%,High,Negative,50%
James Johnson,Junior,DevOps,Log aggregation and analysis,45,Ansible,34,Negative,16,4,920,0,1,50%,Low,Positive,30%
James Johnson,Junior,DevOps,Infrastructure as Code,45,ELK Stack,11,Negative,12,9,330,8,3,50%,High,Positive,45%
James Johnson,Senior,Mobile,Mobile app deployment to app stores,85,Kotlin,120,Negative,20,3,556,9,3,80%,High,Negative,75%
James Johnson,Senior,DevOps,"Cloud platforms (e.g., AWS, Azure, GCP)",95,Ansible,116,Neutral,13,3,695,9,3,70%,Low,Positive,70%
James Johnson,Junior,DevOps,"Containerization (e.g., Docker)",30,Terraform,8,Positive,14,5,206,0,4,50%,Low,Positive,50%
James Johnson,Junior,Frontend,Component-based architecture,30,Webpack,31,Negative,19,4,234,3,2,45%,High,Negative,45%
James Johnson,Mid-Level,Backend,RESTful services,40,Scala,64,Neutral,5,4,859,9,2,80%,Low,Negative,50%
James Johnson,Mid-Level,Mobile,Mobile app UI/UX design,55,Flutter,49,Negative,17,5,363,5,4,70%,Low,Negative,60%
James Johnson,Junior,Frontend,Component-based architecture,50,CSS,16,Positive,19,3,614,10,2,30%,Medium,Negative,35%
James Johnson,Mid-Level,Machine Learning,Model deployment and serving,70,Keras,64,Positive,20,7,743,9,4,60%,Low,Negative,70%
James Johnson,Mid-Level,Machine Learning,Feature engineering,75,pandas,53,Positive,14,6,650,2,4,60%,Medium,Positive,80%
James Johnson,Junior,DevOps,"Orchestration (e.g., Kubernetes)",40,GitLab CI/CD,5,Neutral,13,9,177,3,1,30%,Medium,Positive,30%
Jade Hunter,Mid-Level,Machine Learning,Model training and evaluation,45,PyTorch,65,Positive,14,8,576,10,5,50%,Low,Negative,45%
Jade Hunter,Mid-Level,DevOps,Server provisioning and configuration,55,Jenkins,52,Negative,6,4,510,4,4,40%,High,Negative,80%
Jade Hunter,Junior,Mobile,Offline data storage and synchronization,35,Xamarin,12,Neutral,9,3,603,5,4,45%,Low,Negative,45%
Jade Hunter,Mid-Level,Frontend,Performance optimization,45,Sass,40,Negative,8,10,812,2,2,80%,Medium,Negative,60%
Jade Hunter,Junior,DevOps,Monitoring and alerting,40,ELK Stack,29,Neutral,20,4,221,7,2,40%,Low,Negative,35%
Jade Hunter,Mid-Level,Backend,Data validation and sanitization,80,Java,39,Positive,18,10,666,10,2,50%,High,Positive,50%
Jade Hunter,Mid-Level,Mobile,"Native mobile development (e.g., Swift, Kotlin)",40,NativeScript,52,Positive,8,1,794,4,4,50%,Medium,Negative,80%
Jade Hunter,Junior,Mobile,Mobile app testing and debugging,50,React Native,4,Neutral,11,10,703,8,2,40%,High,Positive,40%
Jade Hunter,Senior,Frontend,HTML/CSS markup,75,Webpack,98,Positive,7,4,296,8,1,70%,High,Negative,60%
Jade Hunter,Mid-Level,Backend,Data validation and sanitization,55,C#,68,Positive,7,3,146,0,3,70%,Medium,Positive,70%
Jade Hunter,Senior,Backend,Scalability and performance optimization,95,PHP,112,Positive,8,7,620,8,5,90%,Low,Negative,85%
Jade Hunter,Senior,DevOps,Backup and disaster recovery,60,GitLab CI/CD,81,Neutral,19,5,904,4,1,90%,Medium,Positive,70%
Jade Hunter,Senior,DevOps,"Containerization (e.g., Docker)",60,Ansible,92,Neutral,5,6,950,2,1,90%,High,Positive,70%
Jade Hunter,Mid-Level,Frontend,JavaScript/jQuery,55,Bootstrap,64,Positive,17,6,165,10,3,45%,High,Negative,70%
Jade Hunter,Junior,DevOps,"Containerization (e.g., Docker)",30,Prometheus,13,Positive,18,8,369,3,4,40%,Low,Positive,35%
Jade Hunter,Junior,Frontend,HTML/CSS markup,45,HTML,15,Positive,17,3,656,3,4,35%,Medium,Negative,35%
Jade Hunter,Junior,Frontend,Performance optimization,50,HTML,13,Neutral,12,7,623,1,2,40%,Low,Negative,30%
Jade Hunter,Senior,Mobile,Device compatibility,85,Swift,114,Negative,18,1,764,4,2,80%,Low,Positive,60%
Jade Hunter,Junior,Frontend,Client-side routing,30,Vue.js,32,Positive,10,7,998,0,2,50%,Medium,Negative,35%
Jade Hunter,Senior,Frontend,Client-side routing,70,React,127,Positive,18,7,702,5,2,80%,Low,Positive,70%
Jade Hunter,Junior,Mobile,Mobile app deployment to app stores,50,Swift,8,Neutral,18,4,980,4,3,35%,Low,Negative,30%
Jade Hunter,Senior,DevOps,Monitoring and alerting,80,Docker,91,Negative,16,1,458,2,5,80%,High,Positive,95%
Jade Hunter,Junior,Frontend,Accessibility considerations,35,React,6,Neutral,7,8,732,6,5,50%,Medium,Positive,50%
Jade Hunter,Mid-Level,DevOps,Monitoring and alerting,60,Ansible,69,Negative,7,2,735,5,2,55%,High,Negative,70%
Jade Hunter,Senior,Frontend,Responsive web design,95,Less,102,Negative,18,8,580,2,3,75%,Medium,Positive,95%
Jade Hunter,Junior,Backend,Database design and management,45,GraphQL,9,Negative,18,5,996,3,5,40%,High,Positive,40%
Jade Hunter,Mid-Level,Backend,"Server-side programming (e.g., Python, Node.js)",50,C#,65,Neutral,14,5,465,1,3,60%,Medium,Positive,55%
Jade Hunter,Senior,Backend,Data validation and sanitization,60,Ruby,82,Negative,17,8,125,6,1,60%,Low,Positive,70%
Jeffery Hale,Junior,Backend,Security and encryption,40,GraphQL,9,Neutral,12,2,155,3,4,40%,High,Negative,30%
Jeffery Hale,Junior,Frontend,Browser compatibility,50,Vue.js,34,Neutral,8,1,317,6,2,40%,Medium,Positive,45%
Jeffery Hale,Senior,Mobile,Mobile app performance optimization,85,Flutter,79,Negative,20,5,473,3,5,90%,High,Positive,90%
Jeffery Hale,Senior,Frontend,"Frontend frameworks (e.g., React, Angular, Vue)",85,CSS,122,Neutral,7,6,705,0,3,85%,High,Negative,95%
Jeffery Hale,Mid-Level,Mobile,Device compatibility,70,Flutter,42,Positive,7,9,729,5,4,55%,Medium,Negative,45%
Jeffery Hale,Mid-Level,Frontend,Responsive web design,60,React,49,Neutral,15,2,336,6,4,40%,Medium,Negative,45%
Jeffery Hale,Junior,Frontend,Cross-platform development,35,CSS,6,Positive,8,10,422,9,3,30%,Low,Positive,50%
Jeffery Hale,Junior,Machine Learning,Hyperparameter tuning,50,pandas,28,Negative,11,9,755,2,3,30%,Low,Positive,30%
Jeffery Hale,Junior,Frontend,Component-based architecture,45,Less,17,Negative,6,1,139,6,3,50%,High,Positive,40%
Jeffery Hale,Senior,Mobile,Push notifications,90,NativeScript,123,Positive,8,3,290,4,5,95%,High,Negative,80%
Jeffery Hale,Senior,Machine Learning,Natural Language Processing (NLP),70,TensorFlow,113,Neutral,18,4,442,1,3,90%,Low,Negative,70%
Jeffery Hale,Mid-Level,Backend,"Web framework (e.g., Django, Flask, Express.js)",55,Kotlin,70,Negative,15,3,664,6,1,45%,Medium,Negative,50%
Jeffery Hale,Mid-Level,Machine Learning,Model deployment and serving,70,Scikit-learn,43,Negative,13,3,892,1,5,80%,Medium,Negative,75%
Jeffery Hale,Junior,Frontend,JavaScript/jQuery,40,Vue.js,21,Neutral,14,9,930,2,1,45%,Low,Positive,50%
Jeffery Hale,Senior,DevOps,Continuous Integration and Deployment (CI/CD),85,ELK Stack,113,Positive,5,7,881,5,4,60%,Medium,Positive,75%
Jeffery Hale,Senior,DevOps,"Cloud platforms (e.g., AWS, Azure, GCP)",80,Ansible,97,Neutral,6,9,586,8,5,60%,High,Positive,95%
Jeffery Hale,Junior,DevOps,Automated testing and deployment pipelines,45,Docker,35,Negative,10,10,627,6,3,40%,Low,Negative,50%
Sydney Fox,Senior,Machine Learning,Supervised learning algorithms,60,OpenCV,143,Positive,7,5,482,8,1,80%,High,Positive,90%
Sydney Fox,Senior,Machine Learning,Natural Language Processing (NLP),75,pandas,118,Neutral,11,2,342,7,5,90%,Medium,Positive,90%
Sydney Fox,Mid-Level,DevOps,Performance optimization,75,ELK Stack,58,Positive,14,2,461,9,5,40%,Low,Positive,50%
Sydney Fox,Senior,Mobile,Mobile app performance optimization,95,Kotlin,144,Neutral,20,3,157,0,5,60%,Medium,Negative,85%
Sydney Fox,Senior,Backend,Caching strategies,85,C#,132,Neutral,18,7,961,3,2,80%,High,Negative,70%
Erica Garcia,Junior,Frontend,"State management (e.g., Redux, Vuex)",30,JavaScript,28,Negative,7,9,495,10,4,45%,Medium,Negative,35%
Erica Garcia,Junior,Frontend,HTML/CSS markup,35,Less,27,Neutral,20,7,651,6,3,30%,Low,Negative,30%
Erica Garcia,Junior,Frontend,User interface design,45,Webpack,31,Positive,14,6,198,3,5,45%,Medium,Positive,40%
Erica Garcia,Senior,Frontend,AJAX and API integration,70,Angular,88,Positive,8,4,245,2,1,95%,High,Positive,85%
Erica Garcia,Junior,Frontend,Cross-platform development,35,Sass,7,Neutral,16,6,363,1,4,40%,Medium,Positive,30%
Erica Garcia,Senior,Frontend,AJAX and API integration,60,Less,78,Positive,20,3,744,5,4,75%,Low,Positive,80%
Erica Garcia,Mid-Level,Frontend,Cross-platform development,75,Vue.js,71,Neutral,8,9,629,4,5,70%,High,Negative,55%
Erica Garcia,Junior,Machine Learning,Model explainability and interpretability,50,PyTorch,21,Neutral,20,9,381,2,1,50%,Medium,Positive,35%
Erica Garcia,Senior,Mobile,"Native mobile development (e.g., Swift, Kotlin)",95,Kotlin,142,Positive,14,1,199,10,2,85%,Low,Positive,80%
Terrance Roth,Mid-Level,DevOps,"Orchestration (e.g., Kubernetes)",60,Prometheus,69,Neutral,16,6,468,0,4,45%,Medium,Negative,40%
Terrance Roth,Junior,Frontend,Component-based architecture,45,React,19,Neutral,17,1,234,6,2,30%,Low,Negative,35%
Terrance Roth,Mid-Level,Machine Learning,Hyperparameter tuning,50,NumPy,39,Positive,5,5,814,3,3,40%,Medium,Positive,60%
Terrance Roth,Senior,Mobile,Offline data storage and synchronization,60,Kotlin,92,Neutral,11,10,890,5,4,80%,High,Negative,95%
John Smith,Junior,Backend,"Server-side programming (e.g., Python, Node.js)",30,GraphQL,27,Neutral,7,2,836,9,4,35%,Medium,Negative,40%
John Smith,Junior,DevOps,"Orchestration (e.g., Kubernetes)",30,Kubernetes,3,Neutral,20,6,387,3,3,40%,High,Positive,50%
John Smith,Senior,DevOps,Backup and disaster recovery,85,Terraform,86,Neutral,10,8,875,6,5,70%,Low,Negative,70%
John Smith,Mid-Level,Frontend,AJAX and API integration,70,Vue.js,52,Negative,15,4,154,7,4,80%,High,Negative,50%
John Smith,Mid-Level,Backend,Caching strategies,55,Node.js,71,Negative,20,7,857,0,4,55%,Low,Negative,50%
John Smith,Junior,Backend,Authentication and authorization,50,PHP,17,Positive,18,10,797,6,4,30%,High,Positive,35%
John Smith,Junior,Mobile,Mobile app UI/UX design,30,Swift,26,Positive,13,4,414,2,2,30%,Medium,Positive,30%
John Smith,Senior,Backend,Data validation and sanitization,95,Node.js,124,Positive,10,10,258,8,2,75%,Low,Positive,95%
John Smith,Junior,Frontend,"Frontend frameworks (e.g., React, Angular, Vue)",45,Vue.js,33,Neutral,5,3,770,9,2,35%,High,Positive,50%
John Smith,Senior,Backend,Scalability and performance optimization,75,Scala,109,Negative,15,2,322,0,5,95%,High,Negative,95%
Howard Duncan,Senior,Mobile,Mobile app security,60,Flutter,101,Positive,17,3,515,10,4,60%,Medium,Positive,95%
Howard Duncan,Junior,Machine Learning,Model explainability and interpretability,40,TensorFlow,6,Negative,5,9,146,8,5,50%,Low,Positive,50%
Howard Duncan,Junior,Mobile,Mobile app deployment to app stores,45,Swift,27,Positive,17,6,289,7,3,50%,Low,Positive,40%
Howard Duncan,Junior,Mobile,Offline data storage and synchronization,50,Kotlin,23,Negative,8,2,514,3,1,45%,Low,Negative,30%
Howard Duncan,Junior,Backend,"Web framework (e.g., Django, Flask, Express.js)",40,Ruby,22,Negative,13,7,273,2,5,50%,Medium,Positive,50%
Howard Duncan,Senior,Machine Learning,Model deployment and serving,80,OpenCV,124,Neutral,13,10,138,8,3,90%,Medium,Positive,80%
Howard Duncan,Senior,Mobile,Mobile app testing and debugging,70,Ionic,130,Negative,11,5,855,5,4,95%,Low,Negative,95%
Howard Duncan,Mid-Level,Backend,Authentication and authorization,55,C#,68,Negative,18,6,425,8,4,55%,Medium,Negative,55%
Howard Duncan,Mid-Level,Mobile,Device compatibility,80,Flutter,62,Negative,12,5,154,10,2,45%,Medium,Negative,80%
Howard Duncan,Junior,Frontend,Browser compatibility,30,Vue.js,1,Neutral,18,10,348,8,4,50%,Low,Negative,45%
Howard Duncan,Senior,DevOps,"Containerization (e.g., Docker)",75,Prometheus,92,Positive,14,8,526,0,1,85%,High,Negative,95%
Howard Duncan,Mid-Level,Machine Learning,Hyperparameter tuning,55,pandas,57,Positive,11,7,719,6,1,55%,Low,Positive,75%
Howard Duncan,Senior,DevOps,Server provisioning and configuration,95,Docker,102,Neutral,20,2,927,3,4,60%,High,Negative,95%
Howard Duncan,Junior,DevOps,Performance optimization,45,GitLab CI/CD,25,Negative,16,10,148,2,4,50%,High,Positive,45%
Howard Duncan,Mid-Level,DevOps,Log aggregation and analysis,75,ELK Stack,48,Negative,6,6,422,10,2,60%,High,Positive,50%
Howard Duncan,Mid-Level,DevOps,Monitoring and alerting,60,ELK Stack,66,Neutral,5,6,592,9,5,45%,Medium,Negative,80%
Howard Duncan,Mid-Level,Machine Learning,Model deployment and serving,50,OpenCV,37,Negative,12,9,511,8,3,40%,Low,Positive,70%
Jessica Nichols,Senior,Mobile,Mobile app testing and debugging,60,Ionic,143,Negative,20,5,189,1,4,70%,Medium,Negative,95%
Jessica Nichols,Mid-Level,Backend,RESTful services,75,Python,51,Positive,20,8,885,7,4,50%,Medium,Negative,60%
Jessica Nichols,Senior,Mobile,"Cross-platform mobile development (e.g., Flutter, React Native)",60,NativeScript,80,Neutral,7,3,374,10,3,80%,Low,Positive,95%
Jessica Nichols,Junior,Backend,"Web framework (e.g., Django, Flask, Express.js)",30,Java,8,Positive,18,2,349,3,3,45%,High,Positive,40%
Jessica Nichols,Junior,Backend,API development,30,Go,17,Positive,11,7,470,9,5,50%,High,Negative,40%
Jessica Nichols,Senior,DevOps,Server provisioning and configuration,90,Prometheus,98,Negative,11,5,554,9,3,75%,Medium,Positive,75%
Jessica Nichols,Junior,Frontend,User interface design,45,React,22,Positive,19,10,235,1,3,40%,Medium,Negative,50%
Laura Andrade,Junior,Frontend,Performance optimization,30,React,22,Neutral,9,5,377,1,2,50%,High,Negative,30%
Laura Andrade,Junior,DevOps,Backup and disaster recovery,50,ELK Stack,17,Negative,7,2,945,8,4,30%,High,Positive,40%
Laura Andrade,Mid-Level,Mobile,Mobile app UI/UX design,55,React Native,68,Negative,18,6,907,4,5,40%,Low,Positive,60%
Laura Andrade,Junior,Frontend,Browser compatibility,45,React,2,Negative,5,6,655,2,3,40%,Medium,Negative,35%
Laura Andrade,Junior,DevOps,Load balancing and scaling,35,GitLab CI/CD,7,Positive,6,9,421,9,5,35%,Medium,Negative,45%
Laura Andrade,Senior,Backend,"Web framework (e.g., Django, Flask, Express.js)",95,Ruby,131,Neutral,18,1,504,9,1,85%,Low,Negative,80%
Laura Andrade,Junior,Backend,Scalability and performance optimization,30,Python,32,Positive,17,7,107,10,4,45%,Low,Positive,45%
Laura Andrade,Mid-Level,Machine Learning,"Deep learning models (e.g., neural networks)",55,pandas,48,Positive,9,5,240,2,1,75%,Medium,Negative,60%
Laura Andrade,Senior,DevOps,Security and compliance,70,Jenkins,76,Positive,13,6,798,10,3,90%,High,Positive,80%
Laura Andrade,Mid-Level,Machine Learning,Data preprocessing and cleaning,75,PyTorch,50,Negative,14,6,605,3,3,45%,High,Positive,60%
Laura Andrade,Junior,Frontend,AJAX and API integration,40,Sass,31,Positive,13,2,157,5,4,40%,Medium,Negative,35%
Laura Andrade,Mid-Level,Mobile,Push notifications,75,Xamarin,60,Positive,9,4,735,9,5,55%,Medium,Positive,75%
Laura Andrade,Junior,Backend,Background processing/jobs,40,Ruby,9,Positive,9,9,904,4,4,50%,Low,Negative,35%
Laura Andrade,Junior,Backend,"Server-side programming (e.g., Python, Node.js)",40,Go,14,Positive,9,3,418,6,3,35%,Medium,Negative,30%
Laura Andrade,Senior,DevOps,Infrastructure as Code,95,Terraform,119,Neutral,13,8,464,5,1,60%,Medium,Positive,95%
Laura Andrade,Mid-Level,Machine Learning,Time series analysis,70,Keras,57,Positive,16,2,647,2,3,75%,High,Positive,40%
Laura Andrade,Senior,Mobile,"Cross-platform mobile development (e.g., Flutter, React Native)",80,Kotlin,84,Negative,6,4,361,4,5,80%,Medium,Negative,75%
Tiffany Ross,Mid-Level,Backend,Security and encryption,75,Ruby,51,Positive,18,2,308,10,5,55%,Medium,Negative,80%
Tiffany Ross,Mid-Level,Mobile,Mobile app deployment to app stores,60,Flutter,37,Neutral,5,6,543,8,1,55%,Low,Negative,45%
Tiffany Ross,Senior,DevOps,Performance optimization,95,ELK Stack,124,Neutral,10,5,147,10,4,75%,Low,Positive,90%
Tiffany Ross,Senior,Machine Learning,Model training and evaluation,70,Keras,78,Negative,12,3,200,10,4,75%,Medium,Positive,95%
Tiffany Ross,Senior,DevOps,Automated testing and deployment pipelines,90,ELK Stack,133,Positive,17,3,199,10,1,70%,Low,Positive,70%
Tiffany Ross,Junior,Machine Learning,Data preprocessing and cleaning,30,OpenCV,18,Neutral,16,4,492,3,4,35%,Medium,Negative,40%
Tiffany Ross,Senior,DevOps,Load balancing and scaling,70,Docker,87,Positive,8,10,724,9,5,75%,High,Negative,80%
Tiffany Ross,Senior,Mobile,Mobile app deployment to app stores,75,Kotlin,74,Positive,18,1,257,3,3,60%,High,Positive,95%
Tiffany Ross,Senior,Mobile,Mobile app UI/UX design,60,PhoneGap,86,Negative,11,7,795,3,4,80%,Medium,Positive,75%
Tiffany Ross,Senior,Machine Learning,Time series analysis,80,Keras,98,Positive,18,2,151,10,1,85%,Low,Negative,80%
Tiffany Ross,Junior,Frontend,Responsive web design,45,JavaScript,21,Negative,8,4,540,1,3,40%,Medium,Positive,30%
Tiffany Ross,Senior,Frontend,HTML/CSS markup,60,CSS,123,Positive,9,8,312,0,3,80%,Medium,Positive,85%
Tiffany Ross,Senior,Machine Learning,Transfer learning,85,NumPy,129,Positive,13,6,720,10,4,70%,Low,Negative,80%
Tiffany Ross,Junior,Backend,Websockets and real-time communication,35,Java,4,Neutral,9,5,194,0,3,30%,Low,Negative,30%
Tiffany Ross,Junior,Frontend,"Frontend frameworks (e.g., React, Angular, Vue)",40,Webpack,10,Positive,14,6,543,10,2,30%,Medium,Negative,50%
Tiffany Ross,Senior,Machine Learning,Model training and evaluation,95,OpenCV,74,Negative,9,5,964,7,1,70%,Low,Negative,75%
Tiffany Ross,Mid-Level,Frontend,User interface design,70,HTML,47,Neutral,8,5,215,5,4,75%,Low,Negative,45%
Lisa Townsend,Junior,Mobile,"Native mobile development (e.g., Swift, Kotlin)",45,React Native,8,Neutral,7,6,634,2,3,30%,High,Negative,40%
Lisa Townsend,Senior,Machine Learning,Transfer learning,85,Python,98,Negative,19,10,667,3,5,80%,Medium,Positive,70%
Lisa Townsend,Junior,DevOps,"Cloud platforms (e.g., AWS, Azure, GCP)",45,Jenkins,2,Positive,18,5,500,6,5,35%,High,Negative,40%
Lisa Townsend,Senior,Backend,Scalability and performance optimization,85,Python,81,Negative,12,5,930,2,3,90%,High,Positive,80%
Lisa Townsend,Senior,Mobile,"Cross-platform mobile development (e.g., Flutter, React Native)",75,Swift,91,Neutral,19,9,145,10,5,90%,Low,Positive,70%
Lisa Townsend,Junior,Mobile,Mobile app performance optimization,45,React Native,1,Positive,20,3,579,10,4,30%,Medium,Negative,40%
Lisa Townsend,Senior,DevOps,Automated testing and deployment pipelines,85,Prometheus,100,Positive,10,7,171,5,5,70%,High,Positive,95%
Lisa Townsend,Mid-Level,DevOps,Automated testing and deployment pipelines,50,Docker,41,Positive,13,5,880,3,5,80%,Low,Negative,70%
Lisa Townsend,Mid-Level,Backend,API development,50,GraphQL,40,Neutral,10,8,590,10,3,60%,High,Negative,50%
Lisa Townsend,Senior,Machine Learning,Computer Vision,75,Python,106,Positive,19,1,564,1,2,70%,Medium,Negative,85%
Dylan Wilcox,Junior,Frontend,"State management (e.g., Redux, Vuex)",35,Sass,29,Positive,9,1,609,8,2,40%,High,Negative,40%
Dylan Wilcox,Senior,Mobile,Mobile app testing and debugging,95,Xamarin,74,Positive,15,4,250,8,2,95%,High,Positive,80%
Dylan Wilcox,Junior,Machine Learning,Computer Vision,35,Keras,4,Negative,20,5,100,4,1,30%,Medium,Negative,30%
Dylan Wilcox,Mid-Level,Machine Learning,Computer Vision,70,NumPy,51,Neutral,10,9,370,7,2,55%,Medium,Positive,75%
Miss Rebekah Hampton,Junior,Frontend,HTML/CSS markup,45,CSS,5,Positive,9,1,958,4,3,30%,Low,Negative,35%
Miss Rebekah Hampton,Senior,Machine Learning,Model explainability and interpretability,70,PyTorch,106,Neutral,17,2,638,7,2,95%,High,Positive,75%
Miss Rebekah Hampton,Junior,Mobile,Device compatibility,35,NativeScript,21,Neutral,19,7,700,10,1,45%,Medium,Positive,35%
Miss Rebekah Hampton,Mid-Level,Machine Learning,Hyperparameter tuning,75,PyTorch,43,Neutral,15,2,480,5,4,40%,Medium,Negative,45%
Miss Rebekah Hampton,Senior,DevOps,Monitoring and alerting,60,GitLab CI/CD,106,Negative,6,9,759,2,5,80%,High,Positive,90%
Miss Rebekah Hampton,Junior,DevOps,Infrastructure as Code,35,Kubernetes,25,Neutral,13,8,241,4,5,35%,Low,Positive,50%
Miss Rebekah Hampton,Junior,Backend,"Server-side programming (e.g., Python, Node.js)",50,C#,13,Positive,15,4,919,9,4,35%,Medium,Negative,30%
Miss Rebekah Hampton,Junior,Machine Learning,Model training and evaluation,35,Scikit-learn,15,Negative,9,8,765,8,5,45%,Low,Negative,50%
Miss Rebekah Hampton,Mid-Level,Machine Learning,Unsupervised learning algorithms,50,Keras,45,Negative,11,3,542,9,3,80%,Medium,Positive,55%
Miss Rebekah Hampton,Mid-Level,Mobile,Device compatibility,80,PhoneGap,42,Negative,13,6,590,0,1,55%,Low,Negative,80%
Miss Rebekah Hampton,Mid-Level,Mobile,Push notifications,60,PhoneGap,59,Negative,15,8,535,6,1,55%,Low,Negative,70%
Miss Rebekah Hampton,Mid-Level,Machine Learning,Natural Language Processing (NLP),50,NumPy,59,Neutral,19,6,180,0,1,55%,Medium,Negative,75%
Miss Rebekah Hampton,Junior,Machine Learning,Supervised learning algorithms,30,Keras,34,Negative,10,5,655,8,1,30%,Medium,Positive,45%
Miss Rebekah Hampton,Senior,DevOps,Security and compliance,90,Prometheus,111,Neutral,9,5,557,5,3,75%,High,Positive,75%
Miss Rebekah Hampton,Mid-Level,Mobile,Push notifications,55,Swift,71,Negative,7,8,393,0,4,70%,Low,Negative,50%
Miss Rebekah Hampton,Mid-Level,Frontend,Cross-platform development,50,HTML,53,Negative,5,5,769,0,4,40%,High,Positive,60%
Kristin Bush,Mid-Level,Frontend,"State management (e.g., Redux, Vuex)",80,React,66,Negative,6,7,587,5,2,60%,Medium,Negative,75%
Kristin Bush,Junior,Machine Learning,Computer Vision,40,Python,30,Negative,10,9,143,8,5,50%,Low,Positive,45%
Kristin Bush,Mid-Level,Backend,Caching strategies,45,Scala,54,Neutral,14,8,474,3,2,50%,High,Negative,60%
Kristin Bush,Junior,Frontend,Cross-platform development,50,JavaScript,23,Neutral,9,1,260,5,1,50%,Medium,Positive,40%
Kristin Bush,Junior,Mobile,Mobile app performance optimization,30,Xamarin,18,Positive,18,10,595,2,5,40%,High,Negative,50%
Kristin Bush,Mid-Level,DevOps,Performance optimization,70,Prometheus,72,Negative,13,1,267,6,2,70%,Medium,Negative,60%
Kristin Bush,Mid-Level,Frontend,User interface design,60,Angular,41,Positive,9,8,410,6,5,80%,Low,Negative,55%
Kristin Bush,Mid-Level,DevOps,Load balancing and scaling,50,ELK Stack,40,Neutral,15,8,503,6,1,60%,Medium,Positive,45%
Jeremy Yates,Mid-Level,Backend,RESTful services,50,Scala,58,Neutral,8,7,250,2,5,80%,Low,Positive,55%
Jeremy Yates,Junior,Backend,Database design and management,50,Scala,18,Neutral,17,8,464,1,3,50%,High,Positive,45%
Jeremy Yates,Mid-Level,Frontend,HTML/CSS markup,45,Vue.js,59,Neutral,6,6,352,10,4,75%,Low,Positive,50%
Jeremy Yates,Mid-Level,DevOps,Infrastructure as Code,50,Docker,49,Neutral,5,9,533,6,4,60%,High,Negative,55%
Jeremy Yates,Senior,Machine Learning,Natural Language Processing (NLP),95,Keras,98,Neutral,15,8,771,1,4,90%,High,Negative,70%
Jeremy Yates,Mid-Level,Machine Learning,Model deployment and serving,40,NumPy,63,Neutral,5,2,997,10,2,60%,Medium,Positive,75%
Jeremy Yates,Junior,Machine Learning,Hyperparameter tuning,50,Scikit-learn,23,Negative,7,9,297,8,1,50%,Low,Positive,40%
Jeremy Yates,Junior,Mobile,"Native mobile development (e.g., Swift, Kotlin)",45,NativeScript,13,Neutral,11,1,195,4,1,30%,Medium,Negative,40%
Jeremy Yates,Senior,Machine Learning,Model training and evaluation,75,Scikit-learn,123,Positive,5,9,424,10,1,90%,Medium,Positive,95%
Jeremy Yates,Senior,Frontend,User interface design,60,CSS,103,Positive,16,3,811,10,1,60%,Medium,Positive,95%
Jeremy Yates,Mid-Level,Frontend,Performance optimization,45,JavaScript,68,Negative,13,3,727,4,2,70%,Medium,Positive,75%
Tara Bean,Junior,Machine Learning,Data preprocessing and cleaning,40,Python,14,Neutral,15,7,372,8,1,50%,Medium,Positive,40%
Tara Bean,Mid-Level,Machine Learning,Data preprocessing and cleaning,55,Keras,58,Negative,13,9,172,0,4,40%,Medium,Negative,75%
Tara Bean,Senior,Backend,Authentication and authorization,85,Python,120,Neutral,12,8,366,2,4,60%,Low,Negative,70%
Tara Bean,Senior,DevOps,Server provisioning and configuration,90,Ansible,86,Negative,11,8,645,10,2,60%,Medium,Negative,85%
Tara Bean,Mid-Level,Mobile,"Cross-platform mobile development (e.g., Flutter, React Native)",40,Flutter,56,Negative,18,9,781,0,5,40%,Low,Negative,75%
Tara Bean,Senior,Frontend,"Frontend frameworks (e.g., React, Angular, Vue)",75,JavaScript,123,Neutral,7,9,278,3,2,60%,Medium,Negative,90%
Tara Bean,Mid-Level,Machine Learning,Data preprocessing and cleaning,55,Scikit-learn,39,Neutral,18,3,212,3,2,45%,Low,Negative,50%
Tara Bean,Junior,Mobile,Mobile app security,40,Kotlin,5,Positive,11,6,158,0,2,45%,Medium,Negative,50%
Tara Bean,Mid-Level,Machine Learning,Model explainability and interpretability,60,Python,70,Negative,20,7,465,2,1,45%,Medium,Negative,75%
Tara Bean,Senior,Frontend,"Frontend frameworks (e.g., React, Angular, Vue)",80,HTML,130,Positive,16,1,946,6,2,75%,Low,Positive,85%
Tara Bean,Senior,Frontend,Responsive web design,80,HTML,112,Neutral,13,9,700,8,3,90%,Low,Positive,85%
Tara Bean,Mid-Level,Backend,"Server-side programming (e.g., Python, Node.js)",70,C#,67,Negative,17,5,115,7,3,50%,High,Positive,50%
Tara Bean,Mid-Level,Frontend,Performance optimization,55,Sass,42,Neutral,5,8,989,8,4,60%,Low,Positive,60%
Tara Bean,Senior,Mobile,Push notifications,60,Ionic,83,Neutral,14,10,218,8,4,95%,Medium,Negative,70%
Tara Bean,Junior,Frontend,Cross-platform development,35,Vue.js,33,Positive,7,9,840,1,1,50%,Low,Positive,45%
Tara Bean,Mid-Level,Machine Learning,Computer Vision,80,TensorFlow,38,Negative,12,9,477,3,2,80%,High,Positive,70%
Tara Bean,Junior,DevOps,"Containerization (e.g., Docker)",40,Docker,35,Neutral,6,7,520,5,1,45%,High,Negative,50%
Tara Bean,Mid-Level,Machine Learning,Time series analysis,55,TensorFlow,60,Positive,15,4,811,5,3,55%,Low,Negative,70%
Tara Bean,Mid-Level,Frontend,JavaScript/jQuery,70,CSS,55,Neutral,16,9,359,4,3,60%,Low,Positive,70%
Tara Bean,Mid-Level,Frontend,Form validation,40,Vue.js,52,Negative,12,10,549,8,2,60%,Medium,Negative,75%
Tara Bean,Senior,Machine Learning,Hyperparameter tuning,75,NumPy,144,Neutral,12,5,452,2,1,90%,High,Negative,75%
Tara Bean,Mid-Level,Mobile,Mobile app UI/UX design,40,Swift,37,Negative,15,5,138,1,4,40%,Medium,Negative,75%
Tara Bean,Mid-Level,DevOps,Monitoring and alerting,60,Prometheus,69,Positive,7,5,187,2,2,75%,Low,Negative,55%
Tara Bean,Mid-Level,DevOps,Automated testing and deployment pipelines,70,Docker,52,Neutral,9,4,270,7,5,45%,Low,Negative,75%
Tara Bean,Mid-Level,Machine Learning,Data visualization,50,PyTorch,45,Neutral,19,7,853,3,5,60%,Medium,Positive,70%
Tara Bean,Mid-Level,Mobile,Mobile app deployment to app stores,70,NativeScript,63,Negative,10,4,219,1,5,80%,High,Positive,80%
Tara Bean,Senior,DevOps,Automated testing and deployment pipelines,60,ELK Stack,76,Negative,14,3,654,5,5,60%,High,Positive,90%
Daniel Zamora,Senior,Mobile,"Native mobile development (e.g., Swift, Kotlin)",85,NativeScript,98,Neutral,14,4,869,5,4,75%,Medium,Negative,95%
Daniel Zamora,Senior,Backend,"ORM/ODM (e.g., SQLAlchemy, Mongoose)",80,Kotlin,136,Positive,7,5,966,10,2,90%,High,Negative,85%
Daniel Zamora,Senior,Backend,Background processing/jobs,90,Python,75,Neutral,6,6,690,4,5,80%,Low,Negative,75%
Daniel Zamora,Mid-Level,DevOps,"Cloud platforms (e.g., AWS, Azure, GCP)",75,Kubernetes,70,Positive,6,10,827,3,3,60%,Medium,Positive,55%
Daniel Zamora,Mid-Level,Mobile,Offline data storage and synchronization,40,React Native,44,Neutral,8,8,778,7,1,75%,Medium,Positive,50%
Daniel Zamora,Junior,Machine Learning,"Deep learning models (e.g., neural networks)",45,Python,5,Neutral,19,1,323,2,3,40%,Low,Positive,30%
Daniel Zamora,Junior,Backend,Authentication and authorization,40,Ruby,11,Neutral,18,9,200,6,4,35%,High,Positive,40%
Daniel Zamora,Junior,Backend,Scalability and performance optimization,40,Ruby,29,Negative,17,10,628,4,4,50%,Low,Negative,30%
Daniel Zamora,Junior,Backend,Security and encryption,50,Kotlin,3,Negative,13,8,130,1,2,35%,Low,Positive,30%
Daniel Zamora,Mid-Level,Mobile,Offline data storage and synchronization,50,NativeScript,52,Positive,19,4,740,3,1,80%,Medium,Negative,45%
Daniel Zamora,Mid-Level,Frontend,Cross-platform development,40,HTML,66,Negative,17,10,347,4,2,80%,Low,Negative,80%
Daniel Zamora,Mid-Level,DevOps,"Cloud platforms (e.g., AWS, Azure, GCP)",60,Terraform,70,Positive,13,6,318,8,3,80%,Medium,Positive,60%
Daniel Zamora,Junior,DevOps,"Containerization (e.g., Docker)",45,ELK Stack,15,Negative,15,8,608,7,5,45%,Medium,Negative,35%
Daniel Zamora,Senior,Frontend,JavaScript/jQuery,80,React,73,Negative,12,5,512,6,4,85%,High,Negative,75%
Daniel Zamora,Mid-Level,Mobile,Mobile app deployment to app stores,55,Kotlin,72,Negative,14,5,613,7,3,50%,Low,Negative,60%
Daniel Zamora,Junior,Backend,Websockets and real-time communication,30,C#,22,Neutral,14,10,251,3,5,40%,High,Positive,40%
Daniel Zamora,Senior,Frontend,"Frontend frameworks (e.g., React, Angular, Vue)",85,Webpack,94,Neutral,17,5,611,0,1,85%,High,Positive,85%
Daniel Zamora,Senior,DevOps,Server provisioning and configuration,95,Jenkins,135,Positive,13,3,343,1,2,80%,Medium,Positive,85%
Daniel Zamora,Mid-Level,Machine Learning,Transfer learning,45,OpenCV,57,Positive,14,7,432,8,5,45%,High,Negative,75%
Francis Walker,Senior,Mobile,Offline data storage and synchronization,80,Xamarin,107,Negative,5,2,978,10,5,70%,Low,Positive,75%
Francis Walker,Mid-Level,DevOps,Server provisioning and configuration,45,GitLab CI/CD,68,Negative,5,4,360,8,1,50%,High,Negative,80%
Francis Walker,Senior,Frontend,AJAX and API integration,90,Bootstrap,125,Negative,15,3,772,1,4,80%,High,Negative,80%
Francis Walker,Mid-Level,Machine Learning,Unsupervised learning algorithms,50,PyTorch,42,Neutral,7,2,152,9,3,40%,Low,Positive,70%
Matthew Cline,Junior,Backend,Database design and management,35,Node.js,3,Neutral,6,1,435,2,4,50%,Low,Negative,40%
Matthew Cline,Junior,Frontend,Client-side routing,30,HTML,21,Positive,19,1,503,9,3,45%,Medium,Positive,40%
Matthew Cline,Senior,Mobile,Device compatibility,80,PhoneGap,111,Neutral,7,5,171,10,2,60%,High,Positive,70%
Matthew Cline,Senior,DevOps,Security and compliance,85,GitLab CI/CD,125,Positive,17,6,486,7,5,95%,High,Negative,80%
Matthew Cline,Mid-Level,Mobile,Device compatibility,55,PhoneGap,60,Neutral,20,9,122,8,2,55%,High,Negative,45%
Matthew Cline,Junior,Mobile,Mobile app deployment to app stores,40,Xamarin,36,Negative,12,5,993,2,1,35%,Medium,Positive,30%
Matthew Cline,Junior,DevOps,Security and compliance,30,ELK Stack,16,Negative,12,4,868,5,1,40%,Medium,Negative,50%
Matthew Cline,Junior,Machine Learning,Data visualization,30,Keras,11,Neutral,17,2,709,10,3,45%,High,Positive,50%
Matthew Cline,Mid-Level,DevOps,Backup and disaster recovery,80,Terraform,39,Neutral,11,2,522,5,3,50%,High,Positive,45%
Shannon Watson,Junior,Frontend,Responsive web design,30,Vue.js,7,Negative,14,3,856,8,2,45%,High,Negative,45%
Shannon Watson,Junior,DevOps,Log aggregation and analysis,35,ELK Stack,3,Positive,18,8,631,6,2,35%,Medium,Positive,35%
Shannon Watson,Senior,Frontend,"Frontend frameworks (e.g., React, Angular, Vue)",75,HTML,87,Neutral,17,9,405,9,1,80%,High,Negative,70%
Shannon Watson,Junior,Frontend,"Frontend frameworks (e.g., React, Angular, Vue)",35,HTML,19,Neutral,19,10,922,7,1,35%,Low,Negative,50%
Shannon Watson,Senior,Machine Learning,Computer Vision,60,PyTorch,127,Negative,6,9,993,6,3,60%,High,Positive,60%
Melanie Sullivan,Mid-Level,Frontend,Component-based architecture,40,Bootstrap,70,Negative,14,4,535,7,2,60%,High,Positive,55%
Melanie Sullivan,Junior,Frontend,HTML/CSS markup,40,React,11,Negative,7,4,651,6,2,50%,High,Positive,35%
Melanie Sullivan,Senior,Backend,Security and encryption,85,Node.js,139,Neutral,18,9,331,6,3,70%,Medium,Negative,90%
Melanie Sullivan,Junior,DevOps,"Cloud platforms (e.g., AWS, Azure, GCP)",45,Kubernetes,11,Neutral,12,3,704,9,5,30%,Medium,Positive,30%
Joseph Garner,Junior,Frontend,User interface design,40,Sass,18,Negative,8,10,612,2,2,50%,High,Positive,45%
Joseph Garner,Mid-Level,DevOps,Security and compliance,45,Terraform,59,Neutral,13,3,436,1,1,75%,Medium,Positive,60%
Joseph Garner,Junior,Frontend,User interface design,45,React,34,Positive,20,8,497,5,4,30%,High,Positive,30%
Joseph Garner,Mid-Level,DevOps,Server provisioning and configuration,75,Prometheus,70,Negative,5,3,954,4,2,70%,Low,Positive,40%
Joseph Garner,Mid-Level,DevOps,"Cloud platforms (e.g., AWS, Azure, GCP)",55,ELK Stack,51,Negative,14,7,827,8,3,40%,High,Positive,40%
Joseph Garner,Junior,DevOps,Monitoring and alerting,30,Jenkins,5,Positive,17,10,648,6,4,40%,Medium,Positive,30%
Joseph Garner,Senior,Frontend,"State management (e.g., Redux, Vuex)",60,Less,112,Positive,6,7,764,5,2,90%,Low,Positive,80%
Joseph Garner,Mid-Level,Frontend,Browser compatibility,45,Vue.js,71,Negative,8,7,804,4,4,50%,High,Negative,55%
Joseph Garner,Junior,Machine Learning,Transfer learning,45,Keras,2,Negative,6,1,551,2,2,30%,High,Positive,45%
Joseph Garner,Junior,Machine Learning,Computer Vision,50,pandas,21,Neutral,15,5,562,5,1,40%,Medium,Positive,40%
Joseph Garner,Senior,Machine Learning,Natural Language Processing (NLP),90,OpenCV,92,Neutral,9,5,464,8,2,85%,High,Positive,85%
Joseph Garner,Mid-Level,Frontend,Browser compatibility,60,JavaScript,45,Neutral,14,7,274,2,3,75%,Medium,Negative,70%
Joseph Garner,Junior,Mobile,Offline data storage and synchronization,35,Flutter,2,Negative,20,10,142,10,4,40%,Low,Negative,30%
Joseph Garner,Senior,Frontend,Component-based architecture,90,Bootstrap,136,Neutral,14,9,564,3,5,60%,Low,Negative,90%
Joseph Garner,Senior,DevOps,Infrastructure as Code,75,Docker,116,Neutral,17,4,669,2,4,80%,Low,Positive,85%
Joseph Garner,Senior,Machine Learning,Data preprocessing and cleaning,80,OpenCV,115,Neutral,11,9,627,3,2,80%,Medium,Positive,75%
Joseph Garner,Mid-Level,Frontend,"Frontend frameworks (e.g., React, Angular, Vue)",50,Less,67,Negative,16,1,816,6,5,80%,Medium,Negative,60%
Joseph Garner,Mid-Level,DevOps,"Orchestration (e.g., Kubernetes)",75,Docker,60,Positive,14,10,718,9,4,40%,Medium,Negative,70%
Joseph Garner,Mid-Level,DevOps,Automated testing and deployment pipelines,70,ELK Stack,53,Positive,16,9,643,10,3,70%,Medium,Positive,45%
Joseph Garner,Mid-Level,Frontend,User interface design,45,Vue.js,51,Neutral,11,2,963,0,2,50%,Medium,Negative,55%
Joseph Garner,Junior,Backend,Authentication and authorization,30,Java,32,Neutral,10,9,535,6,3,30%,Medium,Negative,40%
Joseph Garner,Mid-Level,Frontend,Component-based architecture,45,CSS,70,Positive,7,1,105,6,5,50%,Medium,Negative,75%
Joseph Garner,Mid-Level,Frontend,"Frontend frameworks (e.g., React, Angular, Vue)",80,CSS,51,Neutral,7,1,283,9,2,75%,High,Negative,80%
Joseph Garner,Senior,Frontend,AJAX and API integration,80,Less,100,Negative,6,5,810,9,5,95%,Medium,Positive,75%
Joseph Garner,Senior,DevOps,Security and compliance,95,ELK Stack,139,Neutral,17,2,313,5,2,70%,Low,Positive,95%
Joseph Garner,Senior,Machine Learning,Feature engineering,75,TensorFlow,104,Negative,14,8,514,5,3,75%,High,Negative,70%
Joseph Garner,Junior,Backend,Third-party integrations,50,C#,34,Neutral,6,6,920,7,4,35%,High,Negative,30%
Joseph Garner,Junior,Machine Learning,Hyperparameter tuning,30,Keras,15,Positive,15,1,761,4,4,50%,Medium,Negative,35%
Joseph Garner,Mid-Level,DevOps,Load balancing and scaling,40,Ansible,40,Neutral,6,6,213,10,5,75%,Medium,Positive,70%
Rachel Villarreal,Junior,Mobile,Mobile app security,50,Xamarin,30,Neutral,9,10,906,3,5,40%,High,Positive,35%
Rachel Villarreal,Junior,Backend,API development,40,Go,4,Neutral,19,3,526,0,4,40%,High,Positive,35%
Rachel Villarreal,Junior,Frontend,"Frontend frameworks (e.g., React, Angular, Vue)",45,CSS,7,Positive,20,3,854,4,1,30%,Medium,Negative,50%
Rachel Villarreal,Junior,DevOps,Automated testing and deployment pipelines,50,ELK Stack,5,Negative,18,10,926,8,5,35%,High,Positive,45%
Rachel Villarreal,Senior,Backend,"ORM/ODM (e.g., SQLAlchemy, Mongoose)",85,Python,97,Positive,10,3,147,0,3,60%,High,Negative,70%
Rachel Villarreal,Mid-Level,Machine Learning,Transfer learning,70,Keras,56,Negative,8,9,183,5,2,55%,High,Negative,80%
Rachel Villarreal,Junior,Frontend,Performance optimization,40,React,19,Positive,19,10,901,2,3,30%,Low,Positive,45%
Rachel Villarreal,Mid-Level,Machine Learning,Transfer learning,60,pandas,70,Positive,15,9,923,4,1,50%,High,Negative,75%
Rachel Villarreal,Junior,Mobile,Mobile app testing and debugging,40,NativeScript,30,Neutral,14,1,168,2,5,40%,High,Positive,45%
Rachel Villarreal,Junior,Backend,Caching strategies,30,Ruby,31,Neutral,18,6,947,4,2,40%,High,Positive,40%
Rachel Villarreal,Mid-Level,Backend,Scalability and performance optimization,60,Python,68,Neutral,12,10,804,4,1,40%,Medium,Negative,45%
Rachel Villarreal,Junior,Machine Learning,Time series analysis,35,NumPy,13,Neutral,10,3,611,0,1,30%,Medium,Negative,40%
Rachel Villarreal,Junior,Backend,"Web framework (e.g., Django, Flask, Express.js)",50,PHP,31,Negative,12,6,456,10,2,50%,High,Positive,45%
Rachel Villarreal,Mid-Level,Backend,Background processing/jobs,75,Python,42,Negative,19,2,779,0,4,70%,Medium,Positive,80%
Rachel Villarreal,Senior,Backend,"ORM/ODM (e.g., SQLAlchemy, Mongoose)",70,Ruby,112,Neutral,15,1,740,3,2,90%,High,Negative,95%
Rachel Villarreal,Junior,Backend,"Server-side programming (e.g., Python, Node.js)",45,Node.js,30,Positive,16,8,967,0,5,45%,High,Positive,30%
Rachel Villarreal,Senior,Machine Learning,Supervised learning algorithms,75,Scikit-learn,133,Negative,19,7,163,5,5,90%,High,Negative,95%
Rachel Villarreal,Junior,Backend,Authentication and authorization,40,GraphQL,11,Negative,14,8,274,9,2,30%,High,Negative,40%
Rachel Villarreal,Mid-Level,Machine Learning,Data visualization,40,Python,40,Positive,9,8,102,7,5,70%,High,Negative,75%
Rachel Villarreal,Mid-Level,Mobile,Mobile app UI/UX design,55,NativeScript,64,Negative,12,9,525,8,1,50%,Low,Negative,75%
Rachel Villarreal,Junior,Backend,Authentication and authorization,40,PHP,6,Positive,8,2,764,5,5,45%,Medium,Negative,50%
Rachel Villarreal,Junior,Backend,Scalability and performance optimization,40,Node.js,30,Neutral,12,4,974,6,4,40%,Medium,Negative,30%
Rachel Villarreal,Junior,Frontend,Component-based architecture,50,React,12,Positive,10,1,998,2,5,45%,Low,Negative,30%
Rachel Villarreal,Junior,DevOps,Continuous Integration and Deployment (CI/CD),30,Kubernetes,22,Negative,10,4,736,7,1,30%,Medium,Negative,30%
Rachel Villarreal,Senior,Machine Learning,Computer Vision,95,pandas,133,Neutral,12,8,593,10,5,90%,High,Positive,85%
Rachel Villarreal,Mid-Level,DevOps,Performance optimization,50,Kubernetes,44,Positive,10,4,730,10,2,55%,Low,Positive,75%
Kimberly Baker,Senior,DevOps,"Containerization (e.g., Docker)",75,ELK Stack,139,Neutral,16,9,300,1,3,75%,Medium,Positive,85%
Kimberly Baker,Junior,Machine Learning,Time series analysis,50,Keras,11,Positive,8,4,613,6,3,40%,High,Negative,40%
Kimberly Baker,Junior,Backend,"Server-side programming (e.g., Python, Node.js)",40,GraphQL,3,Negative,12,7,164,4,2,50%,Low,Negative,50%
Kimberly Baker,Mid-Level,Backend,Authentication and authorization,75,Go,42,Neutral,12,4,997,6,3,60%,Medium,Negative,45%
Kimberly Baker,Senior,Machine Learning,"Deep learning models (e.g., neural networks)",80,PyTorch,139,Positive,6,2,699,9,2,60%,Medium,Negative,60%
Kimberly Baker,Senior,Mobile,Mobile app UI/UX design,85,NativeScript,139,Negative,18,3,263,7,3,90%,Medium,Positive,85%
Kimberly Baker,Mid-Level,Frontend,Form validation,50,CSS,45,Positive,12,8,805,5,3,80%,Low,Positive,40%
Kimberly Baker,Senior,DevOps,Server provisioning and configuration,85,Prometheus,89,Neutral,12,3,868,1,1,80%,Medium,Positive,75%
Kimberly Baker,Mid-Level,Backend,Scalability and performance optimization,45,Go,54,Positive,14,3,364,3,2,80%,Low,Negative,45%
Kimberly Baker,Mid-Level,Frontend,Form validation,50,Vue.js,49,Negative,17,9,774,2,3,55%,Medium,Positive,40%
Kimberly Baker,Senior,Frontend,Client-side routing,80,JavaScript,105,Positive,8,2,314,4,3,95%,Medium,Negative,80%
Kimberly Baker,Senior,Frontend,HTML/CSS markup,95,HTML,80,Negative,7,4,487,7,1,90%,High,Positive,90%
Kimberly Hebert,Mid-Level,Machine Learning,Supervised learning algorithms,75,Scikit-learn,67,Neutral,17,1,662,3,5,50%,Low,Positive,45%
Kimberly Hebert,Junior,Machine Learning,Model explainability and interpretability,45,Python,29,Neutral,16,4,705,1,1,35%,Low,Positive,35%
Kimberly Hebert,Senior,DevOps,Performance optimization,85,ELK Stack,110,Negative,8,1,954,1,4,75%,Medium,Positive,70%
Kimberly Hebert,Junior,Frontend,"State management (e.g., Redux, Vuex)",50,Vue.js,7,Neutral,8,7,455,10,3,30%,Medium,Negative,40%
Kimberly Hebert,Mid-Level,Mobile,Mobile app security,75,Swift,40,Negative,5,7,277,3,5,50%,Low,Negative,75%
Kimberly Hebert,Senior,Mobile,Mobile app testing and debugging,85,PhoneGap,96,Negative,19,6,731,2,5,85%,High,Negative,95%
Kimberly Hebert,Junior,Backend,Database design and management,35,PHP,34,Neutral,17,7,715,9,3,30%,Low,Negative,45%
Kimberly Hebert,Junior,Backend,Background processing/jobs,50,Go,34,Negative,20,7,247,8,4,40%,High,Negative,30%
Kimberly Hebert,Mid-Level,Frontend,Performance optimization,40,Angular,53,Neutral,16,2,804,0,3,60%,Low,Negative,55%
Kimberly Hebert,Senior,Frontend,"Frontend frameworks (e.g., React, Angular, Vue)",60,HTML,91,Positive,19,5,185,0,4,60%,High,Positive,85%
Kimberly Hebert,Junior,Machine Learning,Data preprocessing and cleaning,45,TensorFlow,32,Positive,17,9,387,7,3,50%,High,Negative,35%
Kimberly Hebert,Mid-Level,Backend,Websockets and real-time communication,70,Node.js,59,Positive,7,6,409,4,4,60%,Low,Positive,75%
Kimberly Hebert,Junior,DevOps,Performance optimization,50,Jenkins,5,Neutral,11,7,411,0,4,40%,Low,Positive,30%
Kimberly Hebert,Senior,Machine Learning,Reinforcement learning,60,PyTorch,133,Negative,15,3,778,8,3,75%,High,Positive,80%
Kimberly Hebert,Mid-Level,Mobile,"Cross-platform mobile development (e.g., Flutter, React Native)",40,Swift,44,Positive,18,4,255,9,5,75%,Medium,Negative,80%
Kimberly Hebert,Mid-Level,Machine Learning,Time series analysis,80,NumPy,44,Negative,18,4,658,6,3,70%,High,Negative,80%
Kimberly Hebert,Mid-Level,Mobile,Mobile app security,50,PhoneGap,46,Neutral,12,4,603,10,2,80%,Medium,Negative,80%
Kimberly Hebert,Senior,Mobile,"Cross-platform mobile development (e.g., Flutter, React Native)",95,Flutter,118,Neutral,10,7,211,9,1,90%,Medium,Negative,60%
Keith Pham,Mid-Level,Frontend,HTML/CSS markup,40,Bootstrap,70,Positive,9,5,603,10,1,60%,High,Positive,50%
Keith Pham,Mid-Level,Backend,Third-party integrations,55,GraphQL,69,Neutral,16,7,366,9,1,60%,High,Positive,60%
Keith Pham,Senior,Backend,Websockets and real-time communication,95,Java,119,Neutral,9,6,164,3,1,95%,Medium,Negative,85%
Keith Pham,Junior,Machine Learning,Model deployment and serving,35,NumPy,6,Positive,16,1,261,9,5,35%,High,Negative,30%
Keith Pham,Mid-Level,Machine Learning,"Deep learning models (e.g., neural networks)",80,Python,72,Negative,11,6,994,4,2,40%,High,Negative,80%
Keith Pham,Mid-Level,Machine Learning,Model training and evaluation,40,TensorFlow,64,Neutral,5,4,178,3,3,45%,High,Negative,50%
Keith Pham,Mid-Level,Machine Learning,Data visualization,70,Keras,37,Negative,9,3,128,1,1,50%,Medium,Negative,75%
Karen Miller,Mid-Level,DevOps,"Orchestration (e.g., Kubernetes)",50,GitLab CI/CD,64,Neutral,13,5,114,3,3,60%,High,Positive,40%
Karen Miller,Senior,Machine Learning,Unsupervised learning algorithms,90,pandas,77,Negative,5,9,788,9,3,60%,Medium,Positive,60%
Karen Miller,Mid-Level,Frontend,Responsive web design,50,JavaScript,46,Neutral,19,3,668,9,2,75%,Low,Positive,40%
Karen Miller,Mid-Level,Mobile,Push notifications,55,NativeScript,45,Neutral,16,3,645,9,4,55%,Medium,Negative,45%
Karen Miller,Junior,Mobile,"Cross-platform mobile development (e.g., Flutter, React Native)",45,Xamarin,22,Positive,12,3,675,7,5,30%,Low,Positive,30%
Shelley Jones,Senior,Mobile,Device compatibility,60,Swift,124,Negative,13,2,894,6,1,90%,High,Positive,60%
Shelley Jones,Senior,Mobile,Mobile app deployment to app stores,95,PhoneGap,131,Neutral,18,10,658,3,5,80%,Low,Negative,70%
Shelley Jones,Mid-Level,Mobile,Push notifications,60,Flutter,69,Neutral,16,4,245,8,5,70%,High,Positive,75%
Shelley Jones,Junior,Frontend,User interface design,35,Sass,12,Neutral,15,9,197,4,2,35%,Medium,Negative,35%
Shelley Jones,Senior,Frontend,Performance optimization,90,Bootstrap,102,Negative,9,6,664,10,2,85%,High,Negative,80%
Shelley Jones,Senior,Machine Learning,Data visualization,95,Scikit-learn,105,Negative,14,7,275,3,3,90%,Medium,Positive,60%
Shelley Jones,Junior,Frontend,Component-based architecture,30,React,5,Neutral,16,9,911,8,1,40%,Low,Negative,30%
Shelley Jones,Mid-Level,Frontend,Component-based architecture,70,HTML,59,Neutral,13,4,599,10,1,50%,Medium,Positive,60%
Shelley Jones,Junior,Mobile,Device compatibility,35,Xamarin,10,Negative,8,9,385,6,5,30%,High,Negative,50%
Justin Yoder,Junior,Machine Learning,Model training and evaluation,40,Scikit-learn,32,Positive,6,3,983,3,1,50%,High,Negative,40%
Justin Yoder,Mid-Level,Backend,Caching strategies,60,Scala,64,Negative,13,7,881,7,4,45%,Medium,Negative,40%
Justin Yoder,Junior,Mobile,Device compatibility,30,Xamarin,4,Positive,9,9,248,2,4,40%,Medium,Positive,45%
Justin Yoder,Junior,Mobile,Device compatibility,45,PhoneGap,31,Negative,15,3,182,0,2,40%,Medium,Positive,45%
Tammy Ramirez,Mid-Level,Mobile,Offline data storage and synchronization,70,Kotlin,38,Negative,13,1,946,8,4,45%,Low,Positive,45%
Tammy Ramirez,Senior,Mobile,Mobile app deployment to app stores,95,Xamarin,122,Negative,7,1,604,3,1,60%,Medium,Negative,80%
Tammy Ramirez,Senior,Machine Learning,Transfer learning,70,TensorFlow,122,Positive,19,7,826,3,1,95%,High,Positive,95%
Tammy Ramirez,Junior,Backend,RESTful services,45,GraphQL,3,Neutral,13,7,154,0,4,40%,High,Positive,30%
Tammy Ramirez,Junior,Mobile,Mobile app deployment to app stores,40,Swift,16,Neutral,18,4,891,10,4,40%,Medium,Negative,40%
Tammy Ramirez,Senior,Backend,Third-party integrations,75,Go,91,Negative,7,9,171,10,5,75%,High,Negative,95%
Tammy Ramirez,Senior,Frontend,Form validation,90,HTML,117,Neutral,11,5,355,2,3,75%,High,Positive,75%
Tammy Ramirez,Junior,DevOps,Backup and disaster recovery,35,ELK Stack,26,Neutral,11,10,725,3,5,35%,Medium,Negative,30%
Tammy Ramirez,Senior,DevOps,Server provisioning and configuration,70,ELK Stack,91,Positive,20,10,807,6,5,90%,Low,Negative,90%
Tammy Ramirez,Senior,Frontend,Client-side routing,80,Vue.js,76,Negative,5,7,595,1,4,90%,High,Positive,75%
Tammy Ramirez,Junior,DevOps,Performance optimization,40,GitLab CI/CD,24,Neutral,12,3,297,6,4,45%,Low,Negative,40%
Tammy Ramirez,Senior,Mobile,"Cross-platform mobile development (e.g., Flutter, React Native)",95,Flutter,78,Negative,8,2,636,10,1,70%,High,Positive,95%
Tammy Ramirez,Senior,DevOps,"Containerization (e.g., Docker)",90,Docker,144,Neutral,15,2,921,7,3,80%,Medium,Positive,70%
Tammy Ramirez,Junior,Machine Learning,Time series analysis,40,PyTorch,11,Positive,7,4,754,10,3,45%,High,Negative,30%
Tammy Ramirez,Senior,Mobile,Mobile app performance optimization,60,Ionic,125,Negative,18,7,991,2,4,85%,Medium,Negative,60%
Tammy Ramirez,Junior,Backend,"Server-side programming (e.g., Python, Node.js)",50,Go,29,Neutral,12,9,649,9,3,50%,Low,Negative,50%
Tammy Ramirez,Junior,Frontend,HTML/CSS markup,50,Bootstrap,8,Positive,17,7,361,10,3,40%,High,Negative,40%
Tammy Ramirez,Senior,Frontend,HTML/CSS markup,60,Angular,87,Negative,19,2,445,0,1,60%,High,Negative,95%
Tammy Ramirez,Senior,Machine Learning,Natural Language Processing (NLP),85,TensorFlow,116,Negative,9,7,903,0,5,60%,Medium,Positive,60%
Tammy Ramirez,Junior,Frontend,Accessibility considerations,40,Bootstrap,9,Positive,18,9,654,7,4,35%,Low,Positive,35%
Tammy Ramirez,Junior,Mobile,Device compatibility,35,Swift,5,Positive,7,3,937,1,5,40%,Medium,Positive,30%
Tammy Ramirez,Mid-Level,Frontend,HTML/CSS markup,40,React,42,Positive,17,7,835,0,2,75%,Low,Positive,40%
Tammy Ramirez,Mid-Level,Mobile,Mobile app UI/UX design,55,Flutter,72,Positive,11,4,515,3,5,75%,Medium,Negative,50%
Anthony Daniels MD,Mid-Level,Machine Learning,Model explainability and interpretability,70,PyTorch,67,Neutral,10,6,188,3,4,70%,High,Positive,70%
Anthony Daniels MD,Senior,DevOps,Continuous Integration and Deployment (CI/CD),80,Prometheus,79,Neutral,9,1,595,4,5,90%,Low,Positive,70%
Anthony Daniels MD,Senior,Machine Learning,Natural Language Processing (NLP),85,TensorFlow,119,Positive,14,4,813,2,3,90%,Medium,Positive,75%
Anthony Daniels MD,Junior,DevOps,Load balancing and scaling,45,Jenkins,23,Neutral,15,2,568,1,5,40%,Medium,Positive,50%
Robert Oliver,Mid-Level,Machine Learning,"Deep learning models (e.g., neural networks)",40,NumPy,50,Negative,16,4,157,8,4,40%,Medium,Negative,60%
Robert Oliver,Senior,Frontend,Browser compatibility,90,Bootstrap,134,Neutral,6,9,459,7,1,75%,High,Positive,70%
Robert Oliver,Senior,Machine Learning,Model explainability and interpretability,75,Python,111,Neutral,17,1,676,1,3,85%,High,Negative,90%
Robert Oliver,Mid-Level,DevOps,Load balancing and scaling,40,Ansible,45,Neutral,14,5,945,2,5,45%,Medium,Positive,75%
Robert Oliver,Senior,Machine Learning,Natural Language Processing (NLP),60,OpenCV,74,Positive,12,1,296,8,2,60%,High,Positive,80%
Robert Oliver,Senior,Backend,"ORM/ODM (e.g., SQLAlchemy, Mongoose)",85,Node.js,142,Neutral,18,2,472,7,3,70%,Medium,Positive,70%
Robert Oliver,Mid-Level,Machine Learning,Transfer learning,50,Scikit-learn,59,Negative,7,7,173,4,4,75%,High,Positive,55%
Robert Oliver,Junior,Frontend,JavaScript/jQuery,50,CSS,3,Negative,10,8,907,2,1,35%,Low,Positive,35%
Robert Oliver,Senior,Mobile,"Native mobile development (e.g., Swift, Kotlin)",60,Ionic,106,Neutral,9,10,385,7,3,85%,Low,Positive,80%
Robert Oliver,Junior,Backend,"Server-side programming (e.g., Python, Node.js)",50,PHP,14,Neutral,12,2,882,7,4,30%,Low,Negative,30%
Michael Brooks,Senior,DevOps,"Orchestration (e.g., Kubernetes)",90,ELK Stack,123,Positive,15,10,952,4,1,75%,High,Negative,95%
Michael Brooks,Junior,Frontend,Component-based architecture,45,Angular,27,Neutral,16,3,242,4,3,40%,Low,Positive,40%
Michael Brooks,Mid-Level,Backend,Scalability and performance optimization,80,Kotlin,69,Positive,17,9,896,1,5,70%,High,Positive,50%
Michael Brooks,Junior,Mobile,"Native mobile development (e.g., Swift, Kotlin)",45,Kotlin,34,Negative,9,9,780,1,4,35%,Low,Positive,40%
Michael Brooks,Senior,Mobile,Mobile app deployment to app stores,90,PhoneGap,81,Neutral,7,5,937,4,3,85%,High,Positive,70%
Michael Brooks,Senior,Backend,Websockets and real-time communication,90,Ruby,108,Negative,19,8,365,3,1,60%,Medium,Negative,70%
Michael Brooks,Mid-Level,DevOps,Continuous Integration and Deployment (CI/CD),60,ELK Stack,53,Neutral,15,6,232,10,3,55%,Medium,Negative,75%
Michael Brooks,Junior,Backend,Data validation and sanitization,35,PHP,28,Neutral,11,8,106,10,3,45%,High,Positive,45%
Michael Brooks,Senior,Machine Learning,Time series analysis,80,PyTorch,99,Positive,7,3,483,3,5,85%,High,Positive,90%
Michael Brooks,Mid-Level,Backend,Caching strategies,60,Node.js,68,Neutral,5,8,703,0,1,80%,High,Positive,40%
Michael Brooks,Mid-Level,Machine Learning,Hyperparameter tuning,75,Keras,61,Positive,12,10,937,5,2,45%,Low,Negative,45%
Michael Brooks,Mid-Level,DevOps,Log aggregation and analysis,70,Terraform,38,Negative,10,5,270,3,1,40%,Medium,Negative,45%
Michael Brooks,Mid-Level,Mobile,Mobile app UI/UX design,70,NativeScript,50,Neutral,13,9,788,0,1,45%,Low,Negative,40%
Michael Brooks,Junior,DevOps,Backup and disaster recovery,45,Terraform,8,Positive,9,3,638,7,3,40%,Low,Positive,45%
Michael Brooks,Senior,Backend,"Web framework (e.g., Django, Flask, Express.js)",90,Go,82,Negative,18,2,256,3,1,85%,High,Negative,75%
Michael Brooks,Mid-Level,Machine Learning,Transfer learning,50,TensorFlow,47,Negative,15,4,249,10,2,75%,High,Negative,70%
Michael Brooks,Mid-Level,Frontend,User interface design,55,React,50,Negative,12,5,453,7,1,60%,Medium,Positive,75%
Michael Brooks,Junior,DevOps,"Cloud platforms (e.g., AWS, Azure, GCP)",35,Kubernetes,10,Negative,12,1,474,5,3,35%,Low,Negative,35%
Michael Brooks,Senior,DevOps,Backup and disaster recovery,80,Prometheus,75,Negative,5,1,304,2,2,60%,Medium,Positive,90%
Michael Brooks,Junior,Machine Learning,Model training and evaluation,35,Scikit-learn,34,Positive,14,5,606,5,3,35%,Low,Negative,35%
Michael Brooks,Junior,Mobile,Mobile app deployment to app stores,30,PhoneGap,1,Negative,11,4,259,9,5,30%,Low,Negative,30%
Michael Brooks,Junior,Backend,Security and encryption,35,PHP,13,Positive,11,1,882,4,2,30%,Medium,Positive,35%
Michael Brooks,Mid-Level,Frontend,Client-side routing,80,HTML,47,Neutral,13,1,870,9,5,75%,Low,Positive,45%
Michael Brooks,Senior,Frontend,Browser compatibility,80,React,111,Positive,11,5,505,6,2,95%,Low,Negative,70%
Michael Brooks,Junior,Frontend,Component-based architecture,50,Vue.js,2,Positive,18,8,717,0,4,30%,High,Negative,30%
Michael Brooks,Senior,Mobile,Device compatibility,80,Swift,131,Negative,9,9,890,7,5,95%,Medium,Positive,90%
Michael Brooks,Junior,DevOps,"Containerization (e.g., Docker)",40,GitLab CI/CD,17,Neutral,14,1,743,5,2,30%,High,Positive,50%
Michael Brooks,Senior,Mobile,Mobile app UI/UX design,75,NativeScript,144,Negative,5,8,933,0,2,85%,High,Positive,75%
Christina Stephenson,Junior,Machine Learning,Reinforcement learning,40,NumPy,7,Neutral,10,6,226,3,1,40%,Medium,Negative,45%
Christina Stephenson,Senior,DevOps,Load balancing and scaling,90,Kubernetes,103,Negative,5,9,672,9,2,95%,Low,Positive,80%
Christina Stephenson,Mid-Level,DevOps,Performance optimization,60,Terraform,69,Negative,18,4,319,6,2,60%,High,Positive,50%
Christina Stephenson,Junior,Machine Learning,Time series analysis,30,Scikit-learn,26,Positive,17,5,928,4,1,30%,Low,Negative,45%
Christina Stephenson,Mid-Level,Backend,Database design and management,70,C#,44,Neutral,16,6,628,6,3,70%,High,Positive,50%
Christina Stephenson,Junior,Mobile,Mobile app deployment to app stores,45,Kotlin,10,Positive,16,6,152,7,2,40%,Low,Positive,40%
Christina Stephenson,Senior,Machine Learning,Supervised learning algorithms,60,NumPy,106,Negative,15,2,291,9,4,85%,Low,Negative,95%
Christina Stephenson,Junior,Mobile,Mobile app UI/UX design,35,Kotlin,19,Positive,20,9,752,0,4,40%,Medium,Positive,35%
Christina Stephenson,Mid-Level,Backend,API development,60,Java,70,Negative,17,8,622,1,1,80%,High,Positive,55%
Christina Stephenson,Senior,Machine Learning,Data visualization,70,Scikit-learn,120,Negative,6,4,128,4,5,90%,Low,Positive,85%
Christina Stephenson,Junior,Machine Learning,Data preprocessing and cleaning,40,pandas,9,Positive,6,4,327,2,4,30%,Low,Negative,30%
Christina Stephenson,Junior,Frontend,User interface design,35,Angular,19,Positive,19,4,370,6,1,40%,High,Positive,45%
Christina Stephenson,Senior,Backend,Caching strategies,95,C#,136,Neutral,16,6,645,2,2,80%,Medium,Negative,70%
Christina Stephenson,Mid-Level,DevOps,Backup and disaster recovery,70,Prometheus,64,Neutral,12,5,928,7,1,80%,Low,Positive,60%
Christina Stephenson,Senior,DevOps,Continuous Integration and Deployment (CI/CD),95,Ansible,80,Positive,17,9,780,8,4,95%,Low,Positive,60%
Nicole Owens,Junior,Frontend,Component-based architecture,45,Vue.js,15,Neutral,10,7,772,4,2,40%,High,Negative,50%
Nicole Owens,Junior,DevOps,Infrastructure as Code,30,Ansible,26,Positive,5,6,922,9,4,35%,High,Negative,45%
Nicole Owens,Junior,Backend,"ORM/ODM (e.g., SQLAlchemy, Mongoose)",40,C#,24,Positive,6,6,677,8,3,50%,Low,Positive,45%
Nicole Owens,Junior,Frontend,HTML/CSS markup,40,Vue.js,2,Neutral,15,4,602,7,1,35%,High,Positive,30%
Nicole Owens,Junior,Frontend,"Frontend frameworks (e.g., React, Angular, Vue)",40,Bootstrap,31,Negative,14,10,571,6,5,50%,Medium,Negative,40%
Nicole Owens,Mid-Level,Frontend,Cross-platform development,45,Sass,46,Negative,20,6,510,9,5,55%,Medium,Positive,60%
Nicole Owens,Junior,Backend,"ORM/ODM (e.g., SQLAlchemy, Mongoose)",40,Go,22,Positive,14,7,252,8,4,50%,Low,Negative,40%
Nicole Owens,Junior,Backend,"Web framework (e.g., Django, Flask, Express.js)",40,Ruby,25,Neutral,11,2,575,9,5,40%,Medium,Negative,50%
Nicole Owens,Senior,Mobile,Offline data storage and synchronization,60,Swift,98,Negative,12,4,722,9,2,75%,Medium,Positive,70%
Nicole Owens,Mid-Level,Frontend,Component-based architecture,75,Less,67,Positive,7,3,271,3,2,55%,Low,Positive,45%
Nicole Owens,Senior,Frontend,Browser compatibility,85,HTML,118,Positive,19,7,144,5,5,75%,Low,Negative,90%
Nicole Owens,Senior,Machine Learning,Hyperparameter tuning,80,Scikit-learn,119,Neutral,19,1,245,3,4,75%,High,Positive,85%
Nicole Owens,Junior,Machine Learning,Reinforcement learning,45,Keras,25,Neutral,5,6,946,6,2,45%,High,Negative,50%
Nicole Owens,Mid-Level,Backend,"Web framework (e.g., Django, Flask, Express.js)",50,Node.js,56,Neutral,5,4,618,2,4,70%,Medium,Negative,80%
Nicole Owens,Mid-Level,Mobile,Mobile app performance optimization,70,PhoneGap,42,Neutral,5,5,569,3,2,70%,High,Negative,55%
April Lopez,Senior,Frontend,Client-side routing,80,React,136,Negative,11,6,399,6,5,60%,High,Positive,80%
April Lopez,Junior,DevOps,Automated testing and deployment pipelines,45,Docker,26,Negative,8,6,905,0,4,45%,Low,Positive,50%
April Lopez,Junior,DevOps,Performance optimization,45,ELK Stack,4,Positive,7,10,874,9,5,50%,High,Positive,50%
April Lopez,Senior,Backend,Security and encryption,95,Node.js,103,Neutral,15,8,174,6,4,95%,Medium,Negative,80%
April Lopez,Mid-Level,Backend,API development,80,Node.js,48,Negative,9,3,493,2,2,40%,High,Positive,50%
April Lopez,Junior,Frontend,Client-side routing,30,Angular,3,Neutral,18,9,306,2,4,45%,Medium,Negative,50%
April Lopez,Senior,DevOps,"Containerization (e.g., Docker)",75,GitLab CI/CD,119,Neutral,18,8,299,0,2,85%,Low,Positive,70%
April Lopez,Mid-Level,DevOps,Performance optimization,50,Prometheus,53,Positive,20,7,838,10,3,70%,Low,Positive,60%
April Lopez,Mid-Level,Mobile,Mobile app performance optimization,60,Xamarin,49,Negative,11,10,781,2,1,45%,Low,Negative,40%
April Lopez,Senior,Backend,Websockets and real-time communication,80,PHP,93,Positive,14,2,785,2,4,70%,Low,Positive,95%
April Lopez,Junior,Backend,Websockets and real-time communication,40,Go,31,Negative,12,1,230,6,2,50%,High,Positive,45%
April Lopez,Junior,Mobile,Offline data storage and synchronization,30,Ionic,5,Neutral,8,4,998,4,2,35%,Low,Positive,30%
April Lopez,Senior,Backend,Third-party integrations,80,C#,109,Neutral,18,2,365,2,4,60%,High,Negative,90%
April Lopez,Senior,DevOps,Continuous Integration and Deployment (CI/CD),80,Jenkins,130,Positive,5,10,657,9,3,60%,Low,Negative,85%
April Lopez,Junior,Frontend,Browser compatibility,35,Sass,12,Neutral,17,5,209,8,4,45%,High,Negative,30%
April Lopez,Mid-Level,Backend,Scalability and performance optimization,80,C#,40,Positive,17,3,510,3,3,75%,Medium,Negative,55%
April Lopez,Junior,Backend,"Web framework (e.g., Django, Flask, Express.js)",40,Kotlin,3,Negative,13,6,161,1,2,35%,Medium,Positive,30%
April Lopez,Mid-Level,Frontend,Browser compatibility,60,HTML,68,Negative,19,7,545,3,2,60%,High,Negative,80%
Cindy Walker,Senior,Machine Learning,Model deployment and serving,60,Scikit-learn,126,Neutral,19,1,191,2,4,90%,Medium,Negative,75%
Cindy Walker,Junior,DevOps,Performance optimization,30,Docker,6,Positive,5,7,756,0,2,50%,High,Positive,45%
Cindy Walker,Junior,Machine Learning,Natural Language Processing (NLP),30,Scikit-learn,18,Neutral,18,9,578,1,1,50%,High,Positive,50%
Cindy Walker,Mid-Level,Machine Learning,Natural Language Processing (NLP),60,Keras,66,Neutral,5,3,443,6,2,60%,Medium,Negative,80%
Samantha Vasquez,Senior,Mobile,Mobile app testing and debugging,60,PhoneGap,136,Negative,15,1,397,10,5,60%,High,Positive,60%
Samantha Vasquez,Senior,Frontend,Browser compatibility,90,Webpack,77,Neutral,15,7,244,9,5,60%,Medium,Negative,90%
Samantha Vasquez,Mid-Level,Frontend,"Frontend frameworks (e.g., React, Angular, Vue)",55,React,45,Neutral,7,4,504,5,4,75%,Medium,Negative,50%
Samantha Vasquez,Mid-Level,DevOps,Backup and disaster recovery,70,Jenkins,67,Positive,16,10,550,7,2,50%,Low,Positive,55%
Samantha Vasquez,Junior,Machine Learning,Computer Vision,35,Scikit-learn,19,Neutral,6,8,938,3,1,50%,Low,Negative,30%
Samantha Vasquez,Senior,Machine Learning,Data visualization,95,TensorFlow,106,Neutral,12,6,324,5,4,60%,Low,Positive,75%
Samantha Vasquez,Senior,Mobile,"Native mobile development (e.g., Swift, Kotlin)",95,Flutter,102,Neutral,13,10,862,0,5,75%,Medium,Positive,90%
Samantha Vasquez,Mid-Level,Mobile,Mobile app UI/UX design,40,Xamarin,69,Neutral,13,7,867,7,2,55%,Medium,Negative,55%
Samantha Vasquez,Junior,Mobile,Mobile app deployment to app stores,45,Flutter,11,Positive,8,4,384,6,5,40%,High,Negative,45%
Samantha Vasquez,Junior,Backend,Database design and management,50,Go,8,Positive,16,7,327,3,2,40%,Low,Negative,45%
Samantha Vasquez,Junior,Frontend,AJAX and API integration,30,Sass,17,Negative,16,9,998,0,3,35%,High,Positive,30%
Samantha Vasquez,Mid-Level,DevOps,Monitoring and alerting,45,ELK Stack,67,Negative,8,1,329,2,4,50%,High,Positive,55%
Samantha Vasquez,Junior,Machine Learning,Transfer learning,45,Keras,36,Neutral,18,4,177,0,1,40%,High,Negative,50%
Samantha Vasquez,Junior,Machine Learning,Model explainability and interpretability,30,OpenCV,1,Neutral,8,7,848,3,2,35%,Low,Negative,30%
Samantha Vasquez,Junior,DevOps,Infrastructure as Code,50,Kubernetes,11,Positive,9,5,652,5,5,45%,Medium,Positive,45%
Mark Jackson,Junior,Frontend,Component-based architecture,50,HTML,34,Negative,9,4,490,1,1,50%,High,Positive,35%
Mark Jackson,Senior,Backend,RESTful services,75,Node.js,75,Neutral,13,1,958,3,1,75%,Low,Positive,90%
Mark Jackson,Junior,Backend,Background processing/jobs,35,GraphQL,21,Negative,5,7,175,10,2,50%,Low,Negative,30%
Mark Jackson,Junior,Mobile,Mobile app deployment to app stores,40,Ionic,12,Negative,18,1,195,5,2,35%,Low,Negative,50%
Mark Jackson,Mid-Level,Backend,"Server-side programming (e.g., Python, Node.js)",70,Go,44,Negative,12,10,941,3,1,80%,High,Negative,60%
Mark Jackson,Mid-Level,Machine Learning,Model explainability and interpretability,50,Scikit-learn,53,Neutral,7,6,159,0,1,45%,High,Positive,50%
Mark Jackson,Mid-Level,Backend,"Web framework (e.g., Django, Flask, Express.js)",50,PHP,61,Positive,11,8,662,4,3,80%,High,Positive,70%
Mark Jackson,Senior,Machine Learning,"Deep learning models (e.g., neural networks)",90,TensorFlow,78,Negative,9,7,273,4,4,85%,Medium,Positive,85%
Mark Jackson,Senior,Backend,RESTful services,60,Node.js,90,Negative,17,5,452,7,1,75%,Medium,Negative,75%
Mark Jackson,Mid-Level,DevOps,Performance optimization,80,Ansible,42,Neutral,8,1,280,5,5,60%,High,Negative,55%
Mark Jackson,Mid-Level,Frontend,User interface design,55,Less,41,Neutral,14,7,516,6,5,45%,Low,Negative,75%
Mark Jackson,Mid-Level,DevOps,"Containerization (e.g., Docker)",70,Kubernetes,44,Negative,6,7,101,0,1,75%,Medium,Positive,55%
Mark Jackson,Junior,Backend,Websockets and real-time communication,40,Scala,19,Negative,20,6,736,5,1,50%,Medium,Positive,45%
Mark Jackson,Junior,Mobile,Device compatibility,30,Xamarin,17,Positive,17,1,867,5,1,30%,Low,Negative,40%
Mark Jackson,Senior,Mobile,Mobile app UI/UX design,95,PhoneGap,73,Negative,15,2,300,1,4,70%,Medium,Positive,80%
Mark Jackson,Mid-Level,Mobile,Offline data storage and synchronization,70,NativeScript,53,Positive,12,4,542,7,3,40%,Medium,Negative,45%
Mark Jackson,Junior,Frontend,Accessibility considerations,45,Sass,33,Positive,5,1,282,1,2,45%,Low,Positive,45%
Mark Jackson,Mid-Level,Frontend,Performance optimization,50,Less,53,Positive,7,2,196,8,1,80%,Low,Negative,70%
Mark Jackson,Junior,Mobile,Mobile app deployment to app stores,45,Ionic,1,Neutral,7,2,516,3,2,45%,Medium,Positive,50%
Mark Jackson,Junior,Mobile,"Cross-platform mobile development (e.g., Flutter, React Native)",45,Kotlin,21,Positive,9,2,411,6,3,50%,Medium,Positive,35%
Edward Duncan,Mid-Level,Frontend,"State management (e.g., Redux, Vuex)",50,Vue.js,65,Negative,11,6,913,5,5,55%,High,Negative,50%
Edward Duncan,Senior,Backend,Database design and management,80,Ruby,99,Negative,13,8,857,8,4,70%,Medium,Negative,85%
Edward Duncan,Mid-Level,DevOps,Performance optimization,40,Prometheus,40,Negative,9,4,713,8,1,70%,Medium,Positive,45%
Edward Duncan,Senior,Backend,Scalability and performance optimization,70,Kotlin,89,Positive,16,9,697,7,5,70%,Medium,Negative,75%
Edward Duncan,Mid-Level,Mobile,Push notifications,60,Xamarin,57,Negative,8,4,437,0,5,75%,Medium,Negative,50%
Edward Duncan,Mid-Level,DevOps,Continuous Integration and Deployment (CI/CD),80,Jenkins,51,Negative,19,7,693,7,3,80%,Low,Positive,70%
Edward Duncan,Senior,Mobile,"Native mobile development (e.g., Swift, Kotlin)",70,React Native,94,Negative,13,2,965,10,4,85%,High,Negative,75%
Edward Duncan,Junior,Mobile,"Native mobile development (e.g., Swift, Kotlin)",40,NativeScript,33,Neutral,15,6,782,4,1,50%,Low,Positive,40%
Edward Duncan,Junior,Machine Learning,Unsupervised learning algorithms,30,Python,17,Positive,7,3,232,5,2,30%,Medium,Positive,40%
Edward Duncan,Mid-Level,Backend,Scalability and performance optimization,75,Go,44,Neutral,20,9,545,2,4,50%,Medium,Positive,75%
Edward Duncan,Junior,DevOps,"Orchestration (e.g., Kubernetes)",45,Jenkins,17,Negative,16,10,324,2,1,45%,High,Negative,30%
Edward Duncan,Mid-Level,Mobile,Mobile app security,60,React Native,56,Neutral,7,6,616,3,5,80%,Low,Negative,55%
Edward Duncan,Mid-Level,DevOps,"Containerization (e.g., Docker)",75,Docker,60,Neutral,20,5,317,7,4,55%,High,Negative,55%
Edward Duncan,Mid-Level,DevOps,Monitoring and alerting,70,Terraform,38,Negative,8,7,307,2,3,40%,Low,Positive,75%
Edward Duncan,Senior,Backend,Caching strategies,80,Go,94,Neutral,8,9,551,10,4,90%,High,Negative,60%
Edward Duncan,Mid-Level,Mobile,"Cross-platform mobile development (e.g., Flutter, React Native)",80,Ionic,70,Negative,10,5,266,4,1,70%,High,Positive,50%
Edward Duncan,Senior,Backend,RESTful services,75,Kotlin,129,Negative,14,5,541,8,5,90%,Low,Negative,95%
Edward Duncan,Senior,Frontend,Accessibility considerations,75,Vue.js,81,Neutral,5,7,358,1,2,60%,Low,Positive,70%
Edward Duncan,Junior,Mobile,"Native mobile development (e.g., Swift, Kotlin)",30,NativeScript,27,Positive,8,10,674,0,4,50%,High,Negative,45%
Edward Duncan,Senior,Backend,API development,75,Ruby,134,Positive,6,9,315,4,4,60%,Medium,Negative,75%
Edward Duncan,Mid-Level,Mobile,Offline data storage and synchronization,60,Kotlin,70,Neutral,5,10,481,0,2,60%,Medium,Positive,50%
Edward Duncan,Junior,Frontend,Browser compatibility,40,React,24,Negative,15,6,657,10,3,35%,Low,Negative,50%
Edward Duncan,Senior,Mobile,Offline data storage and synchronization,70,Xamarin,130,Negative,12,6,916,2,2,90%,Medium,Negative,60%
Edward Duncan,Senior,Machine Learning,Transfer learning,75,Scikit-learn,121,Positive,20,8,234,8,1,85%,Medium,Negative,75%
Edward Duncan,Junior,Machine Learning,Data preprocessing and cleaning,35,Keras,3,Positive,15,2,568,2,3,35%,Low,Positive,40%
Edward Duncan,Junior,Mobile,Device compatibility,30,Xamarin,36,Positive,20,5,847,2,4,35%,High,Negative,30%
Edward Duncan,Junior,DevOps,Backup and disaster recovery,40,GitLab CI/CD,23,Neutral,18,2,645,3,1,50%,Low,Positive,50%
Edward Duncan,Mid-Level,Mobile,Mobile app UI/UX design,75,Xamarin,47,Negative,17,5,660,5,3,60%,Low,Negative,80%
Edward Duncan,Senior,Frontend,"State management (e.g., Redux, Vuex)",75,Angular,135,Neutral,14,5,755,7,4,80%,Medium,Negative,70%
Edward Duncan,Junior,DevOps,"Containerization (e.g., Docker)",50,Docker,24,Negative,19,9,146,2,1,40%,High,Negative,40%
William Bautista,Senior,Backend,Authentication and authorization,95,Python,87,Positive,11,2,591,10,2,75%,High,Negative,75%
William Bautista,Mid-Level,Mobile,Mobile app deployment to app stores,70,Xamarin,51,Positive,5,5,198,8,3,80%,Low,Positive,45%
William Bautista,Senior,Frontend,"Frontend frameworks (e.g., React, Angular, Vue)",70,Vue.js,74,Positive,11,8,529,0,2,80%,High,Positive,85%
William Bautista,Senior,Mobile,Mobile app deployment to app stores,70,NativeScript,81,Neutral,19,4,369,6,3,70%,High,Positive,80%
William Bautista,Mid-Level,Backend,RESTful services,55,GraphQL,51,Negative,14,1,553,9,1,60%,Medium,Negative,75%
William Bautista,Junior,Backend,Database design and management,45,Ruby,24,Positive,6,5,189,3,1,45%,Medium,Positive,50%
William Bautista,Senior,DevOps,Monitoring and alerting,95,Jenkins,108,Negative,14,6,727,9,2,70%,High,Positive,90%
William Bautista,Senior,Machine Learning,Model training and evaluation,95,PyTorch,108,Positive,15,2,441,10,2,70%,High,Negative,95%
William Bautista,Mid-Level,Frontend,Browser compatibility,45,Vue.js,39,Negative,15,3,764,1,4,60%,Low,Positive,80%
William Bautista,Junior,Backend,API development,45,Java,17,Neutral,16,4,317,5,2,30%,Medium,Negative,40%
William Bautista,Junior,Backend,Security and encryption,50,GraphQL,7,Positive,17,4,204,7,3,45%,Low,Negative,30%
William Bautista,Junior,Backend,RESTful services,30,Java,2,Negative,8,6,139,9,4,40%,Low,Positive,30%
William Bautista,Senior,Mobile,Mobile app UI/UX design,60,React Native,94,Neutral,17,6,537,7,1,75%,Low,Positive,80%
William Bautista,Junior,DevOps,Monitoring and alerting,50,Terraform,14,Positive,5,2,197,6,4,40%,Low,Negative,50%
William Bautista,Mid-Level,Mobile,Mobile app deployment to app stores,80,NativeScript,60,Negative,12,5,914,10,3,70%,Medium,Negative,70%
William Bautista,Mid-Level,Machine Learning,Hyperparameter tuning,60,NumPy,57,Positive,14,6,552,7,3,80%,High,Negative,60%
William Bautista,Senior,Mobile,Push notifications,90,Flutter,86,Positive,13,7,668,9,4,85%,Low,Positive,75%
William Bautista,Senior,Frontend,AJAX and API integration,95,Webpack,85,Positive,7,1,465,6,2,90%,High,Negative,75%
William Bautista,Mid-Level,Frontend,User interface design,80,React,62,Neutral,11,3,504,9,2,75%,High,Negative,40%
William Bautista,Senior,Frontend,Component-based architecture,95,Less,118,Positive,10,3,688,6,3,95%,High,Positive,80%
William Bautista,Junior,Backend,Third-party integrations,35,Kotlin,25,Neutral,5,1,939,0,5,45%,Low,Positive,30%
William Bautista,Junior,Mobile,"Cross-platform mobile development (e.g., Flutter, React Native)",30,Swift,34,Negative,10,5,339,3,1,35%,Low,Positive,45%
William Bautista,Mid-Level,Machine Learning,Model deployment and serving,55,Keras,50,Neutral,16,1,937,8,5,50%,Low,Negative,50%
William Bautista,Senior,Backend,Scalability and performance optimization,70,GraphQL,135,Neutral,16,6,880,9,3,85%,High,Negative,85%
William Bautista,Senior,Mobile,Push notifications,70,Flutter,100,Positive,17,10,518,3,5,90%,Low,Positive,75%
William Bautista,Mid-Level,Machine Learning,Unsupervised learning algorithms,70,Keras,69,Positive,9,1,586,10,2,70%,Medium,Positive,75%
William Bautista,Senior,DevOps,Backup and disaster recovery,60,Ansible,140,Neutral,5,3,402,8,1,60%,Medium,Positive,80%
John Johnson,Junior,DevOps,Infrastructure as Code,30,Docker,4,Negative,12,3,410,8,5,50%,Low,Negative,40%
John Johnson,Senior,Backend,Third-party integrations,80,PHP,81,Neutral,9,10,191,0,1,60%,High,Negative,60%
John Johnson,Senior,Backend,Background processing/jobs,90,PHP,134,Positive,17,7,678,4,5,80%,Medium,Negative,95%
John Johnson,Senior,Machine Learning,Time series analysis,80,Python,131,Positive,19,9,507,1,1,60%,High,Positive,80%
John Johnson,Senior,Mobile,Device compatibility,75,NativeScript,92,Neutral,5,8,219,5,1,85%,High,Positive,90%
John Johnson,Senior,DevOps,Load balancing and scaling,75,Prometheus,109,Positive,14,8,395,7,3,85%,Medium,Positive,95%
John Johnson,Senior,DevOps,Log aggregation and analysis,70,Ansible,76,Neutral,13,10,377,6,5,80%,Medium,Negative,60%
John Johnson,Junior,Machine Learning,Hyperparameter tuning,40,OpenCV,32,Negative,6,1,748,10,5,50%,Medium,Negative,50%
John Johnson,Junior,Machine Learning,Data visualization,50,TensorFlow,33,Positive,17,3,276,4,2,40%,Medium,Negative,45%
John Johnson,Mid-Level,Frontend,Component-based architecture,45,CSS,55,Negative,7,4,696,7,2,75%,High,Negative,50%
John Johnson,Junior,Machine Learning,Reinforcement learning,30,OpenCV,9,Positive,19,1,952,4,3,35%,Medium,Negative,30%
John Johnson,Senior,Machine Learning,Model explainability and interpretability,95,Keras,74,Positive,11,10,408,9,3,80%,High,Negative,95%
John Johnson,Junior,Backend,Websockets and real-time communication,35,Python,9,Negative,14,2,801,5,4,40%,High,Negative,50%
Peter Walker,Senior,Frontend,Client-side routing,95,CSS,87,Neutral,14,8,425,5,5,60%,Low,Positive,70%
Peter Walker,Mid-Level,Mobile,Push notifications,50,Swift,38,Negative,13,9,173,10,4,70%,Medium,Negative,55%
Peter Walker,Mid-Level,Mobile,Mobile app security,50,PhoneGap,65,Neutral,7,9,913,8,3,55%,High,Negative,50%
Peter Walker,Mid-Level,Machine Learning,Model deployment and serving,55,Keras,38,Neutral,16,10,223,6,4,55%,High,Positive,75%
Peter Walker,Senior,Backend,"ORM/ODM (e.g., SQLAlchemy, Mongoose)",75,Go,140,Neutral,18,3,607,3,1,95%,Medium,Negative,90%
Peter Walker,Junior,Frontend,Browser compatibility,35,CSS,33,Negative,6,8,551,4,5,45%,Medium,Positive,30%
Peter Walker,Mid-Level,Mobile,Device compatibility,50,PhoneGap,67,Positive,9,2,169,7,3,70%,Medium,Positive,40%
Peter Walker,Junior,Machine Learning,Unsupervised learning algorithms,30,OpenCV,6,Positive,14,7,532,10,2,50%,High,Positive,50%
Peter Walker,Junior,Backend,"ORM/ODM (e.g., SQLAlchemy, Mongoose)",50,Node.js,24,Positive,18,4,475,5,2,35%,High,Positive,35%
Peter Walker,Junior,Frontend,AJAX and API integration,45,Less,14,Negative,18,4,320,6,2,45%,Medium,Positive,30%
Peter Walker,Mid-Level,Backend,"ORM/ODM (e.g., SQLAlchemy, Mongoose)",45,GraphQL,39,Negative,20,1,685,6,4,40%,High,Positive,50%
Peter Walker,Senior,Machine Learning,Model training and evaluation,75,Python,84,Neutral,7,5,420,0,3,85%,Medium,Positive,90%
Peter Walker,Mid-Level,DevOps,Infrastructure as Code,50,Ansible,52,Negative,20,8,579,1,3,80%,Medium,Negative,40%
Peter Walker,Junior,Frontend,AJAX and API integration,45,HTML,12,Positive,6,6,633,5,3,40%,High,Negative,40%
Peter Walker,Senior,Backend,Data validation and sanitization,75,GraphQL,99,Neutral,5,5,633,5,2,75%,Medium,Negative,95%
Peter Walker,Senior,DevOps,Monitoring and alerting,75,ELK Stack,126,Positive,8,2,629,6,3,70%,Medium,Positive,90%
Peter Walker,Junior,Machine Learning,Model deployment and serving,40,PyTorch,27,Negative,14,10,271,2,3,35%,Medium,Positive,45%
Peter Walker,Senior,Machine Learning,Hyperparameter tuning,60,TensorFlow,92,Positive,17,1,871,8,1,70%,High,Positive,95%
Peter Walker,Mid-Level,Frontend,User interface design,45,JavaScript,43,Neutral,17,6,369,7,5,60%,Medium,Positive,70%
Peter Walker,Senior,Mobile,Mobile app UI/UX design,90,Swift,89,Positive,7,4,789,6,3,70%,Medium,Negative,85%
Peter Walker,Senior,Machine Learning,Reinforcement learning,95,Python,119,Negative,20,10,264,9,3,75%,High,Positive,70%
Peter Walker,Mid-Level,Frontend,HTML/CSS markup,50,Vue.js,48,Positive,17,6,175,5,1,75%,High,Negative,45%
Peter Walker,Junior,Frontend,Accessibility considerations,30,Bootstrap,27,Neutral,12,1,291,7,4,30%,Medium,Positive,40%
Peter Walker,Junior,Backend,Background processing/jobs,45,Go,33,Neutral,9,6,815,7,3,40%,Low,Positive,50%
Peter Walker,Mid-Level,Backend,Websockets and real-time communication,60,Scala,63,Neutral,19,4,834,4,3,70%,Low,Negative,40%
Peter Walker,Senior,Frontend,Performance optimization,90,Webpack,120,Positive,20,3,815,0,5,60%,Medium,Negative,85%
Peter Walker,Junior,Machine Learning,Data preprocessing and cleaning,50,Scikit-learn,9,Negative,17,10,393,0,2,30%,Medium,Negative,35%
Russell Robertson,Mid-Level,DevOps,Monitoring and alerting,40,Prometheus,71,Neutral,11,9,664,8,3,40%,High,Positive,50%
Russell Robertson,Mid-Level,Machine Learning,Supervised learning algorithms,50,PyTorch,72,Neutral,10,6,897,7,5,80%,High,Negative,70%
Russell Robertson,Junior,Backend,Caching strategies,45,Node.js,16,Positive,15,7,228,8,3,35%,High,Negative,30%
Russell Robertson,Senior,Backend,Database design and management,60,Ruby,131,Positive,10,2,225,1,1,85%,Low,Negative,85%
Russell Robertson,Junior,DevOps,"Orchestration (e.g., Kubernetes)",45,Jenkins,24,Positive,20,9,534,5,4,45%,Medium,Positive,35%
Russell Robertson,Mid-Level,Backend,Third-party integrations,50,Ruby,59,Positive,14,5,471,7,3,80%,Low,Negative,50%
Russell Robertson,Junior,Mobile,Mobile app performance optimization,45,PhoneGap,22,Positive,14,10,964,3,2,50%,High,Positive,30%
Russell Robertson,Junior,DevOps,Load balancing and scaling,40,ELK Stack,8,Negative,9,5,808,7,2,35%,Medium,Positive,35%
Russell Robertson,Junior,DevOps,Automated testing and deployment pipelines,45,GitLab CI/CD,5,Positive,10,4,882,1,5,45%,Medium,Positive,40%
Russell Robertson,Senior,Machine Learning,Hyperparameter tuning,70,TensorFlow,101,Negative,10,6,254,7,4,75%,Medium,Positive,90%
Russell Robertson,Senior,Backend,RESTful services,70,Ruby,119,Neutral,6,4,852,6,1,70%,High,Positive,90%
Russell Robertson,Mid-Level,Backend,"Web framework (e.g., Django, Flask, Express.js)",75,Node.js,46,Negative,15,4,378,1,5,55%,Low,Negative,70%
Russell Robertson,Mid-Level,DevOps,"Cloud platforms (e.g., AWS, Azure, GCP)",60,Kubernetes,60,Positive,16,9,920,1,1,45%,Medium,Positive,75%
Russell Robertson,Mid-Level,Machine Learning,Model training and evaluation,45,TensorFlow,45,Neutral,20,1,272,3,1,70%,High,Positive,60%
Russell Robertson,Mid-Level,Machine Learning,Model deployment and serving,45,Python,53,Negative,8,9,651,5,2,80%,Low,Negative,55%
Eric Kemp,Senior,Backend,Third-party integrations,75,Node.js,142,Neutral,8,9,552,9,4,70%,High,Negative,95%
Eric Kemp,Senior,Mobile,Mobile app UI/UX design,70,Kotlin,122,Positive,18,5,783,4,3,60%,Low,Positive,60%
Eric Kemp,Mid-Level,Backend,"Server-side programming (e.g., Python, Node.js)",55,Go,42,Positive,9,4,527,1,5,40%,Medium,Positive,80%
Eric Kemp,Junior,Mobile,Mobile app security,40,Kotlin,4,Positive,13,8,344,0,3,45%,Medium,Negative,40%
Eric Kemp,Mid-Level,DevOps,Server provisioning and configuration,60,GitLab CI/CD,45,Neutral,19,5,670,1,1,50%,Low,Positive,60%
Eric Kemp,Senior,Machine Learning,Model training and evaluation,90,PyTorch,116,Negative,7,3,442,2,4,80%,Low,Positive,90%
Eric Kemp,Mid-Level,Machine Learning,Model explainability and interpretability,50,TensorFlow,68,Positive,12,7,332,1,1,60%,High,Negative,40%
Eric Kemp,Senior,DevOps,Continuous Integration and Deployment (CI/CD),75,Jenkins,85,Negative,10,1,396,3,4,75%,Low,Positive,90%
Katelyn Taylor,Senior,Backend,Security and encryption,95,Scala,89,Positive,6,2,342,1,5,75%,Medium,Negative,85%
Katelyn Taylor,Mid-Level,DevOps,Performance optimization,75,Jenkins,61,Neutral,18,5,691,5,1,50%,Medium,Positive,75%
Katelyn Taylor,Senior,Frontend,HTML/CSS markup,90,Angular,76,Negative,15,3,399,1,5,95%,Medium,Negative,75%
Katelyn Taylor,Junior,Mobile,Mobile app deployment to app stores,45,React Native,23,Positive,13,10,239,4,5,40%,Medium,Negative,45%
Katelyn Taylor,Mid-Level,Frontend,Cross-platform development,80,Vue.js,72,Positive,9,9,121,10,5,55%,Low,Positive,60%
Katelyn Taylor,Senior,Backend,Third-party integrations,95,PHP,144,Neutral,17,2,313,4,1,95%,Low,Positive,70%
Katelyn Taylor,Senior,Machine Learning,Natural Language Processing (NLP),95,Python,124,Neutral,20,9,814,9,1,60%,Medium,Positive,80%
Katelyn Taylor,Senior,Machine Learning,Unsupervised learning algorithms,70,Python,106,Neutral,13,5,781,2,5,60%,Medium,Negative,90%
Katelyn Taylor,Senior,Mobile,Mobile app security,60,Flutter,115,Negative,7,3,770,3,1,80%,Medium,Positive,75%
Katelyn Taylor,Junior,Machine Learning,Natural Language Processing (NLP),45,NumPy,28,Neutral,10,7,603,3,1,50%,Medium,Negative,45%
Katelyn Taylor,Mid-Level,DevOps,Continuous Integration and Deployment (CI/CD),60,ELK Stack,37,Neutral,17,7,366,6,5,45%,High,Positive,70%
Rose Mcgee,Junior,Machine Learning,Natural Language Processing (NLP),45,Keras,4,Negative,18,10,205,8,3,45%,Medium,Positive,40%
Rose Mcgee,Junior,Machine Learning,Time series analysis,30,Python,25,Negative,16,2,704,7,1,35%,High,Positive,40%
Rose Mcgee,Junior,Machine Learning,Data visualization,45,OpenCV,23,Neutral,13,10,110,9,1,35%,Medium,Positive,50%
Rose Mcgee,Junior,Backend,Authentication and authorization,30,Go,30,Positive,13,1,904,3,5,40%,High,Positive,45%
Rose Mcgee,Senior,Mobile,Device compatibility,60,Ionic,115,Negative,17,2,625,1,5,75%,High,Positive,75%
Rose Mcgee,Mid-Level,Frontend,Browser compatibility,70,CSS,38,Positive,15,1,773,1,3,50%,Medium,Negative,45%
Rose Mcgee,Senior,Mobile,Mobile app UI/UX design,85,NativeScript,83,Positive,14,1,255,1,5,70%,High,Negative,70%
Rose Mcgee,Junior,Machine Learning,Transfer learning,30,OpenCV,24,Positive,11,2,117,3,2,35%,Low,Positive,35%
Rose Mcgee,Mid-Level,Machine Learning,Supervised learning algorithms,70,PyTorch,60,Negative,15,7,681,5,2,55%,High,Positive,45%
Rose Mcgee,Mid-Level,Frontend,JavaScript/jQuery,50,Angular,55,Positive,19,10,340,2,4,60%,High,Positive,80%
Rose Mcgee,Junior,Backend,Caching strategies,35,Kotlin,1,Positive,5,7,998,7,2,30%,Low,Positive,40%
Rose Mcgee,Mid-Level,Mobile,Mobile app testing and debugging,70,Swift,57,Positive,15,9,746,5,2,70%,Medium,Positive,75%
Rose Mcgee,Mid-Level,Frontend,JavaScript/jQuery,45,Sass,41,Neutral,11,2,573,8,1,40%,High,Negative,50%
Rose Mcgee,Junior,Backend,RESTful services,45,PHP,28,Negative,6,8,812,1,5,30%,High,Positive,45%
Rose Mcgee,Junior,Frontend,HTML/CSS markup,35,Angular,18,Neutral,11,9,231,6,5,35%,Medium,Negative,50%
Rose Mcgee,Senior,Machine Learning,Natural Language Processing (NLP),60,pandas,106,Positive,5,8,769,6,1,70%,Medium,Negative,90%
Rose Mcgee,Junior,Machine Learning,Supervised learning algorithms,30,Scikit-learn,27,Neutral,11,4,475,6,4,35%,Medium,Negative,40%
Rose Mcgee,Senior,Mobile,Mobile app testing and debugging,95,Swift,77,Neutral,11,5,960,10,2,60%,High,Negative,85%
Rose Mcgee,Junior,DevOps,Performance optimization,50,Terraform,32,Negative,17,9,306,2,4,40%,Medium,Negative,30%
Rose Mcgee,Junior,Backend,"Server-side programming (e.g., Python, Node.js)",35,C#,13,Negative,18,9,849,2,1,40%,High,Negative,35%
Rose Mcgee,Junior,DevOps,Infrastructure as Code,35,Ansible,17,Positive,15,1,907,9,1,45%,High,Negative,45%
Rose Mcgee,Junior,Frontend,JavaScript/jQuery,35,Webpack,16,Negative,12,8,372,1,3,50%,High,Positive,35%
Rose Mcgee,Mid-Level,Mobile,"Native mobile development (e.g., Swift, Kotlin)",75,React Native,70,Negative,18,8,868,4,1,75%,High,Positive,80%
Rose Mcgee,Senior,Mobile,Device compatibility,60,Kotlin,79,Negative,5,1,244,6,3,85%,High,Positive,75%
Rose Mcgee,Mid-Level,Mobile,Device compatibility,70,Kotlin,55,Negative,19,3,356,0,2,80%,High,Negative,45%
Rose Mcgee,Senior,Mobile,Mobile app security,60,PhoneGap,101,Positive,15,2,431,2,4,80%,Medium,Negative,80%
Melinda Conrad,Mid-Level,Mobile,Mobile app UI/UX design,70,PhoneGap,42,Negative,14,9,792,8,5,55%,Low,Negative,70%
Melinda Conrad,Senior,DevOps,Server provisioning and configuration,85,Docker,115,Positive,12,2,592,2,3,85%,Medium,Negative,80%
Melinda Conrad,Mid-Level,Mobile,"Cross-platform mobile development (e.g., Flutter, React Native)",55,React Native,67,Positive,10,7,562,1,4,45%,High,Positive,45%
Melinda Conrad,Senior,Mobile,Mobile app deployment to app stores,85,NativeScript,93,Negative,10,10,708,10,4,70%,Medium,Negative,90%
Melinda Conrad,Mid-Level,DevOps,Load balancing and scaling,75,Kubernetes,53,Positive,14,3,150,7,4,50%,Medium,Negative,45%
Melinda Conrad,Senior,Frontend,Form validation,85,Sass,77,Negative,6,4,580,10,3,80%,Low,Positive,90%
Melinda Conrad,Mid-Level,Frontend,Browser compatibility,80,Angular,71,Neutral,19,5,761,10,3,45%,Low,Positive,75%
Melinda Conrad,Mid-Level,Machine Learning,Transfer learning,60,PyTorch,45,Positive,16,7,532,1,2,40%,High,Negative,80%
Melinda Conrad,Senior,Machine Learning,Model deployment and serving,70,NumPy,84,Positive,15,8,535,9,2,70%,Low,Positive,90%
Melinda Conrad,Junior,Frontend,User interface design,35,JavaScript,33,Neutral,17,4,220,2,2,45%,Low,Negative,35%
Melinda Conrad,Senior,Machine Learning,Feature engineering,80,Python,77,Positive,7,7,594,7,4,85%,Low,Negative,70%
Melinda Conrad,Senior,Machine Learning,Hyperparameter tuning,75,OpenCV,88,Positive,17,1,558,7,2,95%,High,Positive,75%
Melinda Conrad,Senior,Mobile,"Native mobile development (e.g., Swift, Kotlin)",75,Xamarin,113,Negative,16,8,174,5,3,70%,Low,Positive,70%
Melinda Conrad,Senior,Frontend,Performance optimization,90,Less,104,Neutral,9,7,795,0,1,95%,Medium,Negative,95%
Melinda Conrad,Junior,Backend,Background processing/jobs,45,Go,27,Neutral,11,1,537,7,5,45%,Medium,Positive,45%
Melinda Conrad,Senior,Frontend,Form validation,75,Less,135,Positive,20,7,101,7,4,60%,High,Negative,75%
Melinda Conrad,Junior,DevOps,Log aggregation and analysis,45,Ansible,27,Positive,5,3,838,6,1,40%,Medium,Positive,50%
Melinda Conrad,Junior,Frontend,HTML/CSS markup,45,Angular,10,Positive,16,4,706,2,1,45%,Low,Negative,35%
Melinda Conrad,Mid-Level,Mobile,Mobile app performance optimization,60,Kotlin,48,Positive,8,4,435,1,4,75%,High,Negative,40%
Melinda Conrad,Junior,DevOps,Monitoring and alerting,35,Kubernetes,16,Neutral,6,3,251,0,1,30%,Medium,Negative,45%
Melinda Conrad,Senior,Frontend,Form validation,85,JavaScript,130,Neutral,17,2,700,6,3,60%,High,Negative,95%
Melinda Conrad,Senior,Machine Learning,Reinforcement learning,85,pandas,112,Neutral,15,1,543,1,3,70%,Medium,Positive,90%
Melinda Conrad,Mid-Level,Frontend,Responsive web design,75,Less,42,Neutral,9,7,299,10,3,60%,High,Negative,40%
Melinda Conrad,Junior,Backend,API development,40,PHP,21,Neutral,5,9,708,1,2,50%,Medium,Negative,50%
Melinda Conrad,Mid-Level,Mobile,Mobile app UI/UX design,70,Swift,39,Neutral,18,8,759,3,1,55%,Low,Positive,70%
Laurie Mcdonald,Mid-Level,Machine Learning,Model deployment and serving,45,pandas,45,Negative,6,1,904,5,4,40%,Low,Positive,40%
Laurie Mcdonald,Junior,Mobile,Push notifications,30,Kotlin,35,Negative,8,8,184,8,3,45%,Low,Negative,35%
Laurie Mcdonald,Senior,DevOps,"Cloud platforms (e.g., AWS, Azure, GCP)",95,Terraform,121,Neutral,18,7,150,1,4,85%,High,Negative,95%
Laurie Mcdonald,Junior,DevOps,Infrastructure as Code,45,GitLab CI/CD,16,Negative,9,7,523,7,2,50%,Medium,Negative,50%
Laurie Mcdonald,Junior,Machine Learning,Model training and evaluation,40,pandas,15,Neutral,11,1,109,6,4,50%,High,Positive,45%
Laurie Mcdonald,Senior,Backend,"Web framework (e.g., Django, Flask, Express.js)",85,Python,95,Neutral,7,6,602,3,3,95%,Low,Positive,95%
Laurie Mcdonald,Senior,DevOps,"Containerization (e.g., Docker)",85,Docker,124,Positive,14,7,767,9,4,70%,High,Negative,70%
Laurie Mcdonald,Mid-Level,DevOps,"Containerization (e.g., Docker)",40,ELK Stack,67,Neutral,18,10,469,9,2,75%,High,Negative,75%
Laurie Mcdonald,Junior,DevOps,"Cloud platforms (e.g., AWS, Azure, GCP)",30,Terraform,13,Negative,13,3,810,3,1,50%,Medium,Positive,45%
Laurie Mcdonald,Mid-Level,Backend,"Web framework (e.g., Django, Flask, Express.js)",45,Java,65,Positive,18,5,493,1,2,55%,Low,Positive,70%
Laurie Mcdonald,Junior,Backend,Database design and management,45,Ruby,12,Neutral,7,3,492,2,3,45%,Medium,Positive,30%
Laurie Mcdonald,Senior,Frontend,Responsive web design,60,CSS,74,Neutral,8,7,503,10,3,80%,Low,Negative,85%
Laurie Mcdonald,Junior,Frontend,HTML/CSS markup,40,JavaScript,35,Positive,16,8,597,6,2,35%,High,Positive,45%
Laurie Mcdonald,Mid-Level,DevOps,Log aggregation and analysis,70,Jenkins,49,Negative,16,4,781,7,4,75%,High,Positive,75%
Laurie Mcdonald,Junior,Mobile,"Native mobile development (e.g., Swift, Kotlin)",35,PhoneGap,6,Positive,14,2,477,8,5,35%,Low,Positive,35%
Laurie Mcdonald,Senior,Machine Learning,Supervised learning algorithms,95,TensorFlow,124,Positive,15,3,303,6,4,70%,Medium,Positive,90%
Laurie Mcdonald,Mid-Level,DevOps,"Cloud platforms (e.g., AWS, Azure, GCP)",60,Jenkins,53,Negative,5,10,974,10,5,50%,Medium,Negative,70%
Karen Armstrong,Mid-Level,Mobile,"Native mobile development (e.g., Swift, Kotlin)",80,Ionic,38,Neutral,8,4,974,7,2,60%,Low,Negative,55%
Karen Armstrong,Senior,Machine Learning,Computer Vision,95,TensorFlow,133,Neutral,14,1,502,9,5,60%,High,Negative,70%
Karen Armstrong,Junior,Machine Learning,Reinforcement learning,35,pandas,31,Positive,8,9,406,5,3,40%,Low,Negative,45%
Karen Armstrong,Mid-Level,Machine Learning,Model deployment and serving,40,OpenCV,44,Negative,15,4,976,7,2,80%,Low,Positive,45%
Karen Armstrong,Junior,Backend,Websockets and real-time communication,30,GraphQL,24,Neutral,16,10,467,2,3,45%,Low,Negative,40%
Karen Armstrong,Mid-Level,DevOps,Server provisioning and configuration,70,Jenkins,37,Positive,15,8,686,5,5,80%,Medium,Positive,55%
Karen Armstrong,Mid-Level,Frontend,"Frontend frameworks (e.g., React, Angular, Vue)",70,Vue.js,55,Neutral,7,2,393,8,5,50%,Medium,Negative,60%
Karen Armstrong,Junior,Machine Learning,Computer Vision,50,Python,8,Neutral,11,8,839,1,1,50%,Low,Positive,35%
Karen Armstrong,Junior,Backend,Authentication and authorization,30,GraphQL,5,Negative,15,7,958,6,5,45%,Low,Positive,30%
Karen Armstrong,Mid-Level,Machine Learning,Model explainability and interpretability,45,pandas,48,Neutral,19,8,640,5,3,45%,Medium,Negative,45%
Karen Armstrong,Senior,Machine Learning,Computer Vision,85,Keras,126,Negative,18,1,520,6,3,70%,Low,Negative,70%
Karen Armstrong,Mid-Level,Backend,RESTful services,40,Node.js,56,Positive,20,3,221,6,4,40%,High,Positive,40%
Karen Armstrong,Senior,Frontend,Browser compatibility,95,React,113,Positive,20,10,533,5,1,60%,Low,Negative,70%
Karen Armstrong,Junior,Machine Learning,Computer Vision,30,TensorFlow,9,Neutral,17,1,548,4,2,50%,Low,Negative,30%
Karen Armstrong,Junior,Backend,"Server-side programming (e.g., Python, Node.js)",45,PHP,2,Neutral,6,10,758,4,1,50%,High,Positive,45%
Karen Armstrong,Mid-Level,Backend,API development,60,Node.js,53,Negative,7,7,151,10,4,75%,Medium,Positive,45%
Karen Armstrong,Junior,Machine Learning,Transfer learning,50,Scikit-learn,36,Neutral,18,5,238,4,2,40%,Medium,Positive,50%
Karen Armstrong,Mid-Level,Machine Learning,Model deployment and serving,75,Scikit-learn,40,Negative,13,7,398,5,2,45%,Medium,Negative,40%
Karen Armstrong,Senior,Machine Learning,Data preprocessing and cleaning,70,PyTorch,132,Positive,16,9,341,5,3,90%,Low,Positive,75%
Karen Armstrong,Senior,Machine Learning,Data preprocessing and cleaning,80,PyTorch,142,Neutral,14,2,900,4,5,90%,High,Positive,60%
Karen Armstrong,Junior,Machine Learning,Unsupervised learning algorithms,35,NumPy,26,Positive,15,4,967,4,5,50%,High,Positive,40%
Karen Armstrong,Mid-Level,DevOps,"Orchestration (e.g., Kubernetes)",60,Docker,47,Negative,7,9,181,9,1,45%,Low,Positive,60%
Karen Armstrong,Senior,Backend,Database design and management,90,Ruby,106,Negative,13,1,649,6,1,80%,Low,Negative,85%
Karen Armstrong,Senior,Machine Learning,Model explainability and interpretability,80,Python,115,Neutral,14,9,254,0,3,80%,Medium,Negative,70%
Karen Armstrong,Senior,Frontend,AJAX and API integration,60,Vue.js,99,Neutral,11,3,832,10,4,75%,Medium,Positive,70%
Karen Armstrong,Junior,Frontend,JavaScript/jQuery,30,Webpack,1,Negative,17,1,341,2,5,50%,Low,Positive,35%
Karen Armstrong,Senior,Backend,Websockets and real-time communication,60,PHP,133,Negative,18,1,998,0,5,70%,Low,Positive,70%
Sara Wood,Senior,Backend,"Web framework (e.g., Django, Flask, Express.js)",60,Scala,77,Positive,10,1,981,3,4,85%,High,Negative,80%
Sara Wood,Senior,Frontend,Performance optimization,95,Vue.js,115,Negative,6,9,830,10,2,90%,Low,Negative,80%
Sara Wood,Junior,Frontend,HTML/CSS markup,30,Sass,27,Positive,20,1,667,1,4,35%,Low,Positive,30%
Sara Wood,Senior,Frontend,Client-side routing,85,JavaScript,82,Neutral,16,9,397,0,4,75%,Low,Negative,80%
Sara Wood,Mid-Level,Backend,Security and encryption,45,Python,53,Positive,10,2,365,3,3,70%,Low,Positive,80%
Sara Wood,Junior,Backend,"Web framework (e.g., Django, Flask, Express.js)",30,Ruby,34,Negative,8,2,991,8,5,50%,High,Negative,30%
Beverly Carter,Junior,Backend,Caching strategies,30,Ruby,17,Positive,9,7,682,7,3,40%,Medium,Positive,50%
Beverly Carter,Junior,Mobile,Push notifications,50,Flutter,25,Negative,18,1,287,6,2,35%,Low,Positive,35%
Beverly Carter,Mid-Level,DevOps,Server provisioning and configuration,55,Terraform,40,Neutral,17,7,818,8,4,45%,Medium,Positive,75%
Beverly Carter,Junior,Mobile,Mobile app deployment to app stores,45,Kotlin,33,Positive,6,1,798,2,2,30%,Medium,Negative,45%
Beverly Carter,Senior,DevOps,"Cloud platforms (e.g., AWS, Azure, GCP)",95,Docker,117,Negative,7,3,303,8,2,80%,High,Negative,90%
Beverly Carter,Senior,Backend,Websockets and real-time communication,80,PHP,141,Positive,12,7,433,5,2,90%,Low,Positive,80%
Beverly Carter,Mid-Level,Frontend,HTML/CSS markup,70,CSS,41,Negative,17,1,206,4,5,55%,Low,Negative,75%
Beverly Carter,Mid-Level,DevOps,Performance optimization,40,Ansible,62,Negative,16,3,783,9,4,60%,Medium,Positive,70%
Beverly Carter,Junior,Machine Learning,Model deployment and serving,40,Keras,35,Negative,12,3,990,7,1,30%,Medium,Positive,50%
Beverly Carter,Senior,Frontend,JavaScript/jQuery,60,React,126,Positive,16,3,910,5,4,80%,Low,Positive,60%
Beverly Carter,Mid-Level,DevOps,Security and compliance,75,Jenkins,51,Positive,18,10,132,2,1,60%,Low,Positive,70%
Beverly Carter,Senior,DevOps,"Orchestration (e.g., Kubernetes)",70,Jenkins,120,Negative,11,6,394,1,2,75%,High,Negative,80%
Beverly Carter,Mid-Level,Frontend,User interface design,70,Angular,52,Negative,16,1,244,6,4,45%,Medium,Positive,60%
Beverly Carter,Mid-Level,Frontend,Cross-platform development,60,Angular,46,Neutral,5,5,975,10,2,80%,High,Positive,80%
Beverly Carter,Mid-Level,Machine Learning,Unsupervised learning algorithms,70,TensorFlow,70,Negative,18,6,328,6,4,55%,Low,Positive,60%
Beverly Carter,Mid-Level,Machine Learning,Computer Vision,70,pandas,65,Neutral,17,4,192,1,1,40%,High,Negative,75%
Beverly Carter,Mid-Level,Frontend,Responsive web design,80,CSS,44,Positive,9,8,124,1,2,45%,Low,Positive,55%
Beverly Carter,Senior,DevOps,Server provisioning and configuration,75,Kubernetes,89,Positive,13,4,285,0,4,90%,Medium,Negative,90%
Beverly Carter,Senior,Frontend,JavaScript/jQuery,80,Webpack,109,Positive,19,2,444,10,3,60%,Low,Positive,95%
Beverly Carter,Senior,Backend,Data validation and sanitization,70,PHP,139,Positive,13,3,529,6,4,90%,High,Negative,90%
Beverly Carter,Mid-Level,Mobile,Offline data storage and synchronization,60,Xamarin,44,Neutral,19,7,670,8,1,75%,Low,Positive,75%
Beverly Carter,Mid-Level,Machine Learning,Model deployment and serving,75,OpenCV,58,Neutral,19,2,622,6,1,50%,Low,Positive,55%
Beverly Carter,Mid-Level,Backend,Security and encryption,50,C#,62,Negative,10,1,635,4,4,50%,Medium,Positive,80%
Donald Shaw,Mid-Level,Frontend,"Frontend frameworks (e.g., React, Angular, Vue)",80,Webpack,50,Negative,9,1,394,8,2,45%,Low,Positive,50%
Donald Shaw,Junior,Frontend,"Frontend frameworks (e.g., React, Angular, Vue)",45,Less,5,Neutral,5,5,116,10,2,45%,Low,Positive,45%
Donald Shaw,Junior,Frontend,Responsive web design,35,Less,14,Neutral,8,7,595,9,5,40%,High,Positive,30%
Donald Shaw,Senior,Frontend,Cross-platform development,60,Angular,134,Neutral,14,5,887,1,3,80%,High,Negative,60%
Donald Shaw,Senior,Mobile,"Cross-platform mobile development (e.g., Flutter, React Native)",95,NativeScript,75,Positive,7,2,755,7,1,85%,Low,Negative,95%
Donald Shaw,Senior,Mobile,"Native mobile development (e.g., Swift, Kotlin)",60,Xamarin,129,Positive,8,4,425,10,5,70%,Low,Positive,75%
Donald Shaw,Senior,Frontend,Accessibility considerations,75,JavaScript,91,Neutral,11,4,223,6,5,70%,High,Positive,60%
Donald Shaw,Mid-Level,Backend,RESTful services,45,C#,40,Positive,5,1,103,6,5,55%,Medium,Negative,75%
Donald Shaw,Mid-Level,Backend,"Server-side programming (e.g., Python, Node.js)",40,C#,71,Neutral,5,3,568,9,1,40%,High,Positive,60%
Donald Shaw,Senior,DevOps,Log aggregation and analysis,80,Docker,124,Positive,7,9,693,3,1,70%,Low,Positive,60%
Donald Shaw,Senior,Frontend,Performance optimization,75,Vue.js,144,Neutral,19,9,214,9,3,75%,High,Negative,85%
Donald Shaw,Senior,Frontend,"State management (e.g., Redux, Vuex)",90,React,81,Positive,14,1,333,4,4,75%,High,Negative,80%
Donald Shaw,Senior,Frontend,"State management (e.g., Redux, Vuex)",85,JavaScript,116,Negative,17,8,745,1,1,75%,High,Positive,75%
Donald Shaw,Mid-Level,Machine Learning,Unsupervised learning algorithms,75,NumPy,52,Negative,19,5,494,6,1,70%,High,Negative,75%
Donald Shaw,Junior,DevOps,Performance optimization,40,GitLab CI/CD,36,Neutral,7,8,992,1,5,35%,High,Negative,35%
Donald Shaw,Senior,Machine Learning,Computer Vision,85,OpenCV,85,Negative,19,3,351,4,2,95%,High,Negative,75%
Donald Shaw,Junior,Mobile,Mobile app performance optimization,40,PhoneGap,25,Negative,16,4,393,0,4,35%,Medium,Positive,50%
Donald Shaw,Junior,Mobile,Offline data storage and synchronization,35,NativeScript,25,Positive,13,3,870,10,4,30%,Low,Positive,45%
Donald Shaw,Junior,Machine Learning,Time series analysis,45,Python,36,Neutral,19,8,754,6,5,50%,Low,Positive,35%
Donald Shaw,Senior,Frontend,Cross-platform development,70,Less,84,Positive,7,4,952,9,2,60%,Low,Positive,70%
Donald Shaw,Senior,Machine Learning,Unsupervised learning algorithms,90,Python,97,Negative,6,9,531,4,3,60%,Medium,Negative,80%
Donald Shaw,Senior,Mobile,"Native mobile development (e.g., Swift, Kotlin)",90,React Native,74,Positive,14,7,385,8,2,60%,Low,Positive,80%
Donald Shaw,Junior,Mobile,Mobile app testing and debugging,35,Flutter,7,Negative,20,6,201,9,1,45%,Low,Negative,30%
Donald Shaw,Mid-Level,Backend,Caching strategies,70,Kotlin,71,Negative,9,10,783,0,2,40%,High,Positive,55%
Donald Shaw,Senior,DevOps,Server provisioning and configuration,90,GitLab CI/CD,131,Negative,12,5,409,2,5,75%,High,Positive,60%
Donald Shaw,Mid-Level,Frontend,Performance optimization,60,Webpack,42,Negative,17,6,980,3,5,70%,Low,Positive,50%
Donald Shaw,Senior,Frontend,Responsive web design,90,React,111,Neutral,14,8,361,4,4,60%,Low,Positive,70%
Donald Shaw,Senior,Backend,API development,95,Python,109,Negative,10,6,862,1,4,80%,High,Positive,85%
Donald Shaw,Mid-Level,DevOps,Log aggregation and analysis,60,Prometheus,48,Positive,16,8,228,8,2,40%,Medium,Positive,45%
Marcia Medina,Mid-Level,Backend,Scalability and performance optimization,60,PHP,72,Neutral,13,4,840,1,5,50%,Medium,Negative,40%
Marcia Medina,Mid-Level,DevOps,"Cloud platforms (e.g., AWS, Azure, GCP)",80,ELK Stack,42,Neutral,7,8,868,9,4,70%,Medium,Positive,60%
Marcia Medina,Mid-Level,Frontend,HTML/CSS markup,60,CSS,38,Neutral,10,7,311,3,3,45%,Low,Positive,60%
Marcia Medina,Senior,Frontend,Responsive web design,80,React,132,Positive,14,8,847,3,3,75%,High,Negative,85%
Marcia Medina,Junior,DevOps,Performance optimization,30,ELK Stack,17,Neutral,5,8,104,7,5,30%,Medium,Positive,50%
Marcia Medina,Junior,Frontend,JavaScript/jQuery,35,Webpack,20,Neutral,14,5,850,1,2,45%,High,Positive,50%
Marcia Medina,Mid-Level,Machine Learning,Natural Language Processing (NLP),50,OpenCV,52,Neutral,20,4,269,10,3,50%,Low,Negative,40%
Marcia Medina,Mid-Level,DevOps,Continuous Integration and Deployment (CI/CD),75,Ansible,63,Neutral,5,2,248,9,1,70%,High,Positive,45%
Marcia Medina,Junior,Backend,Scalability and performance optimization,45,Java,26,Negative,15,3,759,1,3,35%,High,Positive,40%
Marcia Medina,Senior,Backend,Third-party integrations,80,Kotlin,73,Negative,7,2,301,5,4,60%,High,Negative,85%
James Williams,Mid-Level,Mobile,Device compatibility,60,Ionic,41,Positive,8,2,452,3,1,70%,Low,Negative,40%
James Williams,Senior,DevOps,Log aggregation and analysis,75,Prometheus,117,Negative,13,1,546,6,1,75%,High,Positive,60%
James Williams,Senior,Frontend,JavaScript/jQuery,95,React,117,Neutral,13,3,855,0,1,60%,Low,Negative,85%
James Williams,Mid-Level,Backend,Background processing/jobs,75,Go,37,Positive,8,1,824,4,5,50%,Medium,Positive,45%
James Williams,Senior,Machine Learning,Time series analysis,80,PyTorch,128,Negative,13,3,785,2,5,60%,High,Positive,85%
James Williams,Junior,Mobile,Mobile app performance optimization,35,PhoneGap,25,Neutral,10,9,952,7,2,30%,Low,Positive,40%
James Williams,Mid-Level,Backend,Third-party integrations,70,Scala,41,Neutral,11,2,941,2,4,80%,High,Positive,55%
James Williams,Mid-Level,Frontend,Cross-platform development,70,Bootstrap,47,Neutral,14,3,908,4,4,70%,High,Negative,45%
James Williams,Mid-Level,Machine Learning,Unsupervised learning algorithms,45,PyTorch,43,Neutral,18,5,525,1,2,70%,Low,Positive,60%
James Williams,Senior,Backend,Security and encryption,80,PHP,136,Positive,8,6,590,9,1,75%,High,Positive,85%
James Williams,Junior,Backend,"Web framework (e.g., Django, Flask, Express.js)",40,Python,15,Neutral,15,2,960,3,1,30%,High,Negative,50%
James Williams,Mid-Level,Mobile,Push notifications,80,Kotlin,59,Positive,6,1,631,3,1,45%,Medium,Positive,45%
James Williams,Junior,Frontend,HTML/CSS markup,35,Sass,2,Positive,5,4,554,6,2,40%,Low,Negative,35%
James Williams,Senior,Machine Learning,Time series analysis,60,Python,77,Neutral,14,9,951,1,5,75%,High,Positive,90%
James Williams,Mid-Level,Mobile,Mobile app testing and debugging,50,Xamarin,49,Positive,10,8,569,7,2,45%,Low,Negative,80%
James Williams,Senior,Backend,"ORM/ODM (e.g., SQLAlchemy, Mongoose)",90,Node.js,142,Positive,5,5,138,8,2,80%,Low,Negative,95%
Garrett Perez,Mid-Level,Backend,Third-party integrations,60,Kotlin,45,Positive,10,9,909,1,5,50%,Low,Negative,80%
Garrett Perez,Mid-Level,DevOps,Infrastructure as Code,40,GitLab CI/CD,63,Negative,15,3,773,10,3,40%,Medium,Positive,45%
Garrett Perez,Senior,Mobile,Mobile app deployment to app stores,80,NativeScript,120,Neutral,15,4,510,9,5,60%,Medium,Positive,60%
Garrett Perez,Senior,Mobile,Mobile app deployment to app stores,95,Swift,134,Negative,15,8,721,1,4,95%,Medium,Positive,95%
Matthew Ortiz,Mid-Level,Mobile,"Native mobile development (e.g., Swift, Kotlin)",75,NativeScript,69,Positive,10,5,364,4,4,80%,Low,Negative,60%
Matthew Ortiz,Senior,Backend,Security and encryption,60,Kotlin,97,Negative,6,2,495,9,2,80%,Medium,Positive,85%
Matthew Ortiz,Senior,DevOps,Continuous Integration and Deployment (CI/CD),70,Docker,141,Neutral,5,6,746,9,3,90%,High,Negative,80%
Matthew Ortiz,Senior,Machine Learning,Model explainability and interpretability,70,Scikit-learn,139,Negative,19,2,914,8,1,60%,Medium,Positive,95%
Matthew Ortiz,Mid-Level,Backend,Database design and management,60,Go,64,Negative,9,5,799,7,5,80%,High,Negative,50%
Matthew Ortiz,Mid-Level,Machine Learning,Data visualization,70,Python,71,Neutral,6,1,953,9,5,60%,Medium,Negative,40%
Matthew Ortiz,Senior,Machine Learning,Model deployment and serving,60,Python,129,Neutral,10,8,861,7,2,90%,Low,Negative,75%
Matthew Ortiz,Mid-Level,Machine Learning,Model deployment and serving,45,PyTorch,42,Negative,7,2,467,7,2,45%,Medium,Negative,75%
Matthew Ortiz,Mid-Level,DevOps,Monitoring and alerting,50,Jenkins,47,Positive,17,7,152,2,5,60%,Low,Negative,55%
Matthew Ortiz,Mid-Level,Backend,Scalability and performance optimization,80,Java,49,Negative,16,1,662,6,5,55%,Medium,Negative,80%
Matthew Ortiz,Senior,Machine Learning,Reinforcement learning,90,Python,132,Neutral,18,8,556,9,4,85%,Medium,Negative,80%
Matthew Ortiz,Senior,Mobile,Mobile app performance optimization,95,Flutter,112,Neutral,6,6,119,6,3,90%,Low,Negative,75%
Matthew Ortiz,Junior,Frontend,AJAX and API integration,35,React,27,Positive,13,4,708,10,2,45%,High,Positive,30%
Matthew Ortiz,Mid-Level,DevOps,Backup and disaster recovery,80,Terraform,69,Positive,18,9,502,3,4,70%,Medium,Negative,80%
Matthew Ortiz,Senior,DevOps,Automated testing and deployment pipelines,85,Kubernetes,118,Positive,5,1,886,7,5,95%,High,Positive,75%
Matthew Ortiz,Senior,DevOps,Continuous Integration and Deployment (CI/CD),80,Kubernetes,95,Neutral,7,9,795,5,5,70%,High,Positive,90%
Matthew Ortiz,Senior,Backend,API development,95,Java,109,Neutral,14,6,296,7,2,95%,High,Positive,95%
Matthew Ortiz,Junior,DevOps,"Containerization (e.g., Docker)",35,Docker,26,Neutral,9,1,154,2,4,40%,High,Positive,50%
Matthew Ortiz,Mid-Level,Mobile,Device compatibility,40,Swift,68,Negative,20,3,667,3,2,50%,High,Negative,55%
Matthew Ortiz,Mid-Level,DevOps,"Containerization (e.g., Docker)",45,Prometheus,39,Positive,17,4,509,7,4,45%,Medium,Positive,55%
Matthew Ortiz,Senior,Backend,"Server-side programming (e.g., Python, Node.js)",95,Scala,114,Negative,15,9,686,3,1,90%,Low,Negative,85%
Matthew Ortiz,Senior,Machine Learning,Unsupervised learning algorithms,80,NumPy,101,Negative,6,5,172,3,4,85%,High,Negative,95%
Matthew Ortiz,Senior,Machine Learning,Natural Language Processing (NLP),75,PyTorch,74,Neutral,6,6,804,7,4,85%,High,Positive,90%
David Brooks,Junior,Mobile,"Cross-platform mobile development (e.g., Flutter, React Native)",45,PhoneGap,21,Negative,17,5,508,7,3,45%,Medium,Positive,50%
David Brooks,Mid-Level,Frontend,AJAX and API integration,40,React,51,Neutral,20,7,830,8,4,50%,High,Positive,45%
David Brooks,Mid-Level,Machine Learning,Time series analysis,55,Keras,58,Negative,5,4,166,0,3,45%,High,Positive,75%
David Brooks,Senior,Frontend,Cross-platform development,90,Less,82,Negative,17,1,376,1,3,70%,Medium,Negative,85%
David Brooks,Junior,Mobile,Mobile app performance optimization,30,PhoneGap,21,Neutral,8,6,770,10,1,30%,Medium,Negative,40%
David Brooks,Junior,Mobile,Device compatibility,50,PhoneGap,29,Negative,11,2,328,10,4,40%,Low,Negative,40%
David Brooks,Mid-Level,Machine Learning,Hyperparameter tuning,60,PyTorch,49,Negative,12,4,604,0,4,40%,High,Negative,75%
David Brooks,Junior,DevOps,Security and compliance,45,Jenkins,17,Negative,14,3,461,5,3,40%,Low,Positive,50%
David Brooks,Senior,Mobile,Mobile app UI/UX design,95,Ionic,74,Negative,19,4,329,0,1,90%,High,Negative,75%
David Brooks,Mid-Level,Mobile,Offline data storage and synchronization,75,Ionic,46,Positive,13,8,865,5,3,40%,Medium,Negative,80%
David Brooks,Mid-Level,Backend,API development,60,PHP,39,Negative,19,8,978,3,3,50%,Medium,Negative,55%
Clifford Decker,Senior,Backend,Data validation and sanitization,60,Java,104,Negative,11,1,188,4,5,85%,High,Positive,75%
Clifford Decker,Junior,Mobile,"Cross-platform mobile development (e.g., Flutter, React Native)",35,Kotlin,18,Neutral,13,2,887,9,3,35%,Low,Negative,50%
Clifford Decker,Senior,Mobile,Mobile app performance optimization,60,Kotlin,110,Negative,6,5,309,7,5,70%,Low,Positive,70%
Clifford Decker,Mid-Level,Mobile,Mobile app security,70,Kotlin,67,Positive,13,4,901,1,3,55%,Low,Negative,40%
Clifford Decker,Senior,Mobile,"Native mobile development (e.g., Swift, Kotlin)",60,Ionic,98,Negative,18,5,243,4,2,90%,High,Negative,80%
Clifford Decker,Senior,Backend,Scalability and performance optimization,75,GraphQL,81,Positive,13,3,285,0,2,60%,Low,Negative,60%
Clifford Decker,Junior,Backend,Websockets and real-time communication,50,Python,11,Positive,19,1,461,2,4,35%,Medium,Positive,50%
Clifford Decker,Senior,Frontend,Component-based architecture,70,Sass,92,Positive,9,3,523,10,4,90%,Low,Positive,60%
Clifford Decker,Senior,Backend,Authentication and authorization,90,Go,89,Negative,16,8,214,8,4,75%,Medium,Negative,60%
Clifford Decker,Senior,Frontend,AJAX and API integration,80,JavaScript,103,Neutral,11,4,437,8,5,70%,Medium,Positive,60%
Clifford Decker,Mid-Level,DevOps,Load balancing and scaling,55,Ansible,63,Neutral,7,7,740,2,5,45%,High,Negative,55%
Clifford Decker,Senior,Machine Learning,Hyperparameter tuning,75,Keras,112,Positive,9,4,604,2,4,60%,Medium,Negative,85%
Clifford Decker,Junior,DevOps,Performance optimization,30,Docker,13,Negative,19,7,889,5,2,50%,High,Negative,45%
Clifford Decker,Junior,Mobile,Device compatibility,50,Kotlin,12,Neutral,17,10,506,8,3,50%,Low,Positive,40%
Clifford Decker,Junior,Mobile,"Cross-platform mobile development (e.g., Flutter, React Native)",50,React Native,23,Positive,19,7,404,1,2,30%,Medium,Positive,50%
Clifford Decker,Mid-Level,Backend,"Server-side programming (e.g., Python, Node.js)",75,Scala,43,Neutral,15,1,469,0,3,45%,High,Positive,55%
Clifford Decker,Senior,Machine Learning,Time series analysis,80,pandas,89,Neutral,17,8,212,2,1,60%,High,Positive,80%
Clifford Decker,Junior,DevOps,Backup and disaster recovery,45,Prometheus,27,Positive,7,1,817,0,3,35%,Medium,Negative,50%
Clifford Decker,Senior,Frontend,Client-side routing,75,Vue.js,117,Neutral,11,5,255,4,1,80%,Medium,Negative,70%
Kimberly King,Junior,Frontend,Accessibility considerations,40,Webpack,26,Positive,8,4,656,7,4,45%,High,Positive,30%
Kimberly King,Junior,DevOps,Performance optimization,40,GitLab CI/CD,10,Neutral,7,5,306,0,2,35%,Low,Negative,40%
Kimberly King,Junior,Backend,RESTful services,50,C#,10,Positive,17,2,1000,10,4,50%,Medium,Positive,35%
Kimberly King,Junior,Frontend,Client-side routing,45,React,30,Positive,13,3,311,3,4,30%,Low,Positive,30%
Kimberly King,Mid-Level,DevOps,"Orchestration (e.g., Kubernetes)",40,Docker,68,Neutral,15,8,336,6,2,45%,High,Negative,60%
Lisa Alexander,Junior,Frontend,Performance optimization,45,Angular,36,Positive,7,4,889,1,5,40%,High,Positive,45%
Lisa Alexander,Senior,Machine Learning,Unsupervised learning algorithms,75,pandas,129,Positive,7,4,103,10,1,90%,Medium,Negative,90%
Lisa Alexander,Senior,DevOps,Backup and disaster recovery,70,ELK Stack,103,Negative,6,5,575,1,5,60%,Medium,Positive,80%
Lisa Alexander,Senior,Frontend,"Frontend frameworks (e.g., React, Angular, Vue)",60,Bootstrap,89,Positive,12,1,611,9,1,85%,Medium,Positive,80%
Lisa Alexander,Junior,Mobile,Mobile app deployment to app stores,45,Xamarin,14,Neutral,16,6,980,4,5,50%,Medium,Negative,45%
Lisa Alexander,Senior,Mobile,Offline data storage and synchronization,90,NativeScript,76,Negative,10,2,583,8,2,60%,High,Positive,90%
Lisa Alexander,Junior,Mobile,Push notifications,45,Kotlin,14,Negative,10,6,440,10,1,35%,High,Positive,50%
Lisa Alexander,Senior,DevOps,Continuous Integration and Deployment (CI/CD),90,Jenkins,101,Negative,5,2,314,8,1,75%,Low,Positive,80%
Lisa Alexander,Junior,Machine Learning,Model training and evaluation,30,NumPy,17,Negative,10,6,535,8,2,50%,High,Positive,35%
Lisa Alexander,Mid-Level,Backend,Authentication and authorization,60,Kotlin,49,Positive,17,3,421,9,5,45%,High,Negative,55%
Lisa Alexander,Mid-Level,DevOps,Automated testing and deployment pipelines,75,GitLab CI/CD,53,Positive,15,8,600,6,3,75%,Medium,Negative,75%
Lisa Alexander,Junior,Frontend,"Frontend frameworks (e.g., React, Angular, Vue)",45,HTML,2,Positive,10,10,797,1,5,50%,High,Positive,45%
Lisa Alexander,Junior,Backend,"Web framework (e.g., Django, Flask, Express.js)",45,C#,24,Positive,6,10,404,1,1,35%,Medium,Negative,45%
Lisa Alexander,Senior,Machine Learning,Hyperparameter tuning,95,pandas,113,Positive,12,6,377,7,3,85%,Medium,Positive,60%
Lisa Alexander,Junior,Frontend,JavaScript/jQuery,40,Less,32,Negative,9,7,449,9,4,45%,Low,Negative,50%
Lisa Alexander,Senior,Backend,Websockets and real-time communication,85,Python,84,Neutral,15,7,903,6,5,85%,High,Negative,60%
Lisa Alexander,Senior,DevOps,"Orchestration (e.g., Kubernetes)",70,Terraform,107,Positive,6,10,670,2,1,70%,High,Negative,80%
Lisa Alexander,Mid-Level,Mobile,Mobile app security,50,Swift,47,Positive,7,1,404,4,1,60%,High,Negative,55%
Lisa Alexander,Junior,Frontend,"State management (e.g., Redux, Vuex)",40,React,25,Negative,16,9,457,6,2,50%,Medium,Negative,45%
Lisa Alexander,Senior,Backend,Authentication and authorization,80,C#,99,Neutral,13,3,747,0,2,90%,Low,Negative,70%
Lisa Alexander,Mid-Level,Machine Learning,Feature engineering,75,PyTorch,65,Neutral,7,2,279,2,1,60%,Low,Negative,80%
Lisa Alexander,Junior,DevOps,Backup and disaster recovery,30,Terraform,16,Negative,8,1,938,9,4,30%,Medium,Negative,40%
Lisa Alexander,Mid-Level,Machine Learning,Model explainability and interpretability,40,NumPy,54,Neutral,7,1,917,9,4,60%,Medium,Negative,80%
Lisa Alexander,Junior,Mobile,Mobile app security,40,NativeScript,5,Negative,15,7,148,2,4,40%,Medium,Positive,35%
Lisa Alexander,Senior,Backend,"Server-side programming (e.g., Python, Node.js)",70,GraphQL,107,Neutral,20,5,940,8,4,90%,High,Positive,80%
Lisa Alexander,Mid-Level,Backend,"ORM/ODM (e.g., SQLAlchemy, Mongoose)",60,Node.js,67,Negative,14,7,902,1,3,75%,High,Negative,55%
Lisa Alexander,Junior,Mobile,Mobile app deployment to app stores,45,Swift,12,Negative,7,10,789,10,5,45%,High,Negative,45%
Lisa Alexander,Senior,Backend,Authentication and authorization,70,Node.js,87,Neutral,18,1,919,9,3,90%,Medium,Negative,85%
Lisa Alexander,Senior,Machine Learning,Reinforcement learning,75,NumPy,81,Neutral,10,9,747,2,3,80%,Medium,Negative,80%
Jesse Ramirez,Mid-Level,Frontend,AJAX and API integration,55,Sass,57,Negative,5,4,681,7,2,75%,Medium,Negative,60%
Jesse Ramirez,Junior,DevOps,"Cloud platforms (e.g., AWS, Azure, GCP)",35,Kubernetes,18,Positive,10,2,246,7,2,40%,High,Positive,50%
Jesse Ramirez,Senior,Machine Learning,Natural Language Processing (NLP),90,NumPy,126,Negative,19,10,232,1,4,90%,High,Negative,90%
Jesse Ramirez,Junior,Machine Learning,Data preprocessing and cleaning,50,pandas,2,Positive,15,9,213,0,3,45%,Low,Positive,35%
Jesse Ramirez,Junior,Frontend,Component-based architecture,30,Sass,33,Positive,5,1,967,10,5,30%,Medium,Negative,30%
Jesse Ramirez,Junior,Backend,Security and encryption,30,Kotlin,5,Positive,19,6,510,1,5,30%,Medium,Negative,40%
Jesse Ramirez,Mid-Level,Backend,Websockets and real-time communication,60,Ruby,47,Negative,12,10,704,3,4,75%,Medium,Negative,45%
Jesse Ramirez,Mid-Level,Machine Learning,Data visualization,60,TensorFlow,51,Positive,19,10,400,9,5,75%,Low,Negative,75%
Jesse Ramirez,Junior,DevOps,"Cloud platforms (e.g., AWS, Azure, GCP)",40,GitLab CI/CD,18,Positive,15,8,888,7,1,40%,Medium,Positive,35%
Jesse Ramirez,Junior,Frontend,"Frontend frameworks (e.g., React, Angular, Vue)",50,Bootstrap,29,Neutral,13,7,243,3,5,35%,High,Negative,50%
Jesse Ramirez,Mid-Level,Machine Learning,Model training and evaluation,40,Python,61,Positive,8,6,137,5,3,70%,High,Positive,80%
Sandy Chambers,Senior,Frontend,JavaScript/jQuery,75,Vue.js,81,Positive,10,10,746,2,2,70%,High,Negative,85%
Sandy Chambers,Mid-Level,Backend,Authentication and authorization,50,Ruby,46,Negative,12,9,965,9,4,60%,Medium,Negative,40%
Sandy Chambers,Junior,Frontend,Responsive web design,30,Angular,29,Positive,15,2,591,1,5,30%,Medium,Negative,30%
Sandy Chambers,Mid-Level,Backend,Third-party integrations,45,Java,69,Neutral,18,9,584,8,5,50%,Low,Positive,45%
Sandy Chambers,Junior,Mobile,Mobile app UI/UX design,40,Xamarin,16,Neutral,19,2,747,5,4,45%,Low,Positive,45%
Sandy Chambers,Senior,Machine Learning,Hyperparameter tuning,60,NumPy,106,Neutral,5,3,994,5,3,80%,High,Positive,95%
Grace Acosta,Mid-Level,Frontend,Client-side routing,60,JavaScript,44,Negative,11,5,506,1,2,40%,Low,Positive,50%
Grace Acosta,Junior,Machine Learning,Reinforcement learning,40,Python,15,Neutral,18,4,573,4,5,50%,Low,Negative,35%
Grace Acosta,Mid-Level,Backend,Data validation and sanitization,60,Scala,71,Negative,20,5,752,7,1,70%,Medium,Negative,60%
Grace Acosta,Senior,Frontend,Client-side routing,60,Angular,96,Neutral,19,7,673,2,3,75%,Low,Positive,85%
Grace Acosta,Mid-Level,Machine Learning,Time series analysis,75,Python,59,Negative,6,9,858,5,3,45%,Low,Positive,70%
Grace Acosta,Mid-Level,Mobile,Offline data storage and synchronization,75,Swift,37,Neutral,10,1,662,6,4,50%,High,Positive,60%
Grace Acosta,Mid-Level,Machine Learning,Model deployment and serving,80,Python,61,Positive,18,1,842,0,3,40%,High,Negative,60%
Grace Acosta,Mid-Level,Backend,Caching strategies,40,Go,62,Neutral,11,2,795,3,4,75%,Low,Positive,45%
Grace Acosta,Mid-Level,Machine Learning,Data preprocessing and cleaning,80,pandas,55,Neutral,18,10,196,2,1,75%,Low,Negative,45%
Grace Acosta,Senior,Machine Learning,Data visualization,95,NumPy,144,Positive,9,9,379,0,2,70%,Medium,Positive,60%
Grace Acosta,Junior,Machine Learning,Unsupervised learning algorithms,50,TensorFlow,5,Negative,19,3,994,4,3,50%,High,Positive,30%
Grace Acosta,Mid-Level,Machine Learning,Data preprocessing and cleaning,50,Scikit-learn,44,Negative,13,3,438,10,4,60%,High,Positive,45%
Grace Acosta,Senior,DevOps,Security and compliance,90,Kubernetes,98,Negative,13,4,731,8,4,70%,Medium,Positive,95%
Grace Acosta,Mid-Level,Backend,RESTful services,70,C#,48,Positive,20,9,989,5,4,50%,High,Positive,75%
Grace Acosta,Senior,DevOps,Log aggregation and analysis,95,Kubernetes,125,Positive,18,4,133,3,1,60%,Low,Positive,95%
Grace Acosta,Mid-Level,Mobile,Device compatibility,75,NativeScript,43,Positive,10,6,113,2,5,40%,Low,Positive,75%
Grace Acosta,Mid-Level,Mobile,"Cross-platform mobile development (e.g., Flutter, React Native)",70,Kotlin,67,Negative,17,3,944,5,5,50%,Medium,Positive,75%
Grace Acosta,Mid-Level,Backend,Caching strategies,40,Java,54,Positive,5,7,354,3,2,45%,Medium,Positive,55%
Grace Acosta,Mid-Level,Mobile,Push notifications,45,Ionic,54,Positive,20,4,109,8,1,60%,Medium,Positive,50%
Grace Acosta,Junior,Frontend,"Frontend frameworks (e.g., React, Angular, Vue)",30,Bootstrap,25,Neutral,19,3,172,2,1,35%,Medium,Negative,45%
Grace Acosta,Mid-Level,Backend,"Server-side programming (e.g., Python, Node.js)",45,Scala,45,Positive,11,6,675,10,4,75%,Low,Negative,75%
Grace Acosta,Junior,Machine Learning,Unsupervised learning algorithms,45,PyTorch,27,Neutral,5,5,388,1,1,50%,Low,Positive,40%
Grace Acosta,Senior,DevOps,"Cloud platforms (e.g., AWS, Azure, GCP)",60,Prometheus,127,Negative,11,4,736,10,5,95%,Low,Positive,75%
Grace Acosta,Senior,Frontend,"Frontend frameworks (e.g., React, Angular, Vue)",90,HTML,114,Neutral,15,10,564,0,4,90%,Low,Negative,80%
Ashley Barrera,Junior,Frontend,Responsive web design,35,JavaScript,21,Neutral,7,9,500,3,5,50%,Medium,Positive,45%
Ashley Barrera,Senior,Machine Learning,Feature engineering,85,Keras,100,Negative,14,10,408,3,5,60%,Low,Negative,80%
Ashley Barrera,Mid-Level,Machine Learning,Unsupervised learning algorithms,50,OpenCV,38,Negative,15,1,467,1,4,75%,Medium,Negative,55%
Ashley Barrera,Senior,Mobile,Mobile app performance optimization,70,Kotlin,104,Neutral,5,9,343,3,3,60%,High,Positive,95%
Ashley Barrera,Senior,Frontend,Component-based architecture,80,Bootstrap,128,Neutral,8,8,833,0,3,85%,Low,Negative,70%
Ashley Barrera,Senior,DevOps,Backup and disaster recovery,70,GitLab CI/CD,134,Neutral,17,8,792,0,2,85%,Medium,Negative,85%
Ashley Barrera,Senior,DevOps,Performance optimization,60,ELK Stack,117,Positive,8,1,514,5,1,70%,Low,Negative,80%
Ashley Barrera,Junior,Mobile,Offline data storage and synchronization,30,React Native,21,Neutral,14,5,505,3,2,30%,High,Positive,35%
Ashley Barrera,Mid-Level,Frontend,"Frontend frameworks (e.g., React, Angular, Vue)",80,Less,50,Positive,5,9,197,7,2,60%,Medium,Positive,40%
Ashley Barrera,Mid-Level,Frontend,Form validation,70,CSS,37,Negative,20,8,574,5,2,45%,High,Positive,70%
Ashley Barrera,Mid-Level,DevOps,Automated testing and deployment pipelines,75,Ansible,54,Neutral,12,10,565,2,2,75%,High,Positive,45%
Ashley Barrera,Senior,DevOps,Log aggregation and analysis,85,Prometheus,140,Negative,20,9,475,6,4,85%,Low,Positive,95%
Ashley Barrera,Junior,Frontend,Client-side routing,30,Webpack,13,Positive,13,10,979,5,4,40%,Low,Positive,50%
Ashley Barrera,Mid-Level,Mobile,Mobile app security,50,Swift,37,Positive,19,7,883,6,5,70%,Low,Positive,75%
Ashley Barrera,Senior,Frontend,AJAX and API integration,60,HTML,102,Positive,20,6,685,9,4,90%,Low,Positive,80%
Joseph Webster,Senior,Frontend,Responsive web design,70,Vue.js,128,Positive,16,6,374,7,1,70%,Low,Negative,85%
Joseph Webster,Mid-Level,Machine Learning,Time series analysis,70,pandas,66,Neutral,15,4,582,2,1,70%,High,Negative,45%
Joseph Webster,Junior,Backend,Background processing/jobs,40,PHP,12,Negative,7,9,723,4,4,40%,Medium,Positive,50%
Joseph Webster,Mid-Level,Mobile,Mobile app performance optimization,40,React Native,68,Neutral,20,1,803,8,4,60%,High,Negative,70%
Joseph Webster,Junior,Mobile,Offline data storage and synchronization,50,Flutter,1,Neutral,6,1,365,2,4,50%,Low,Positive,35%
Joseph Webster,Mid-Level,Frontend,Component-based architecture,45,React,46,Positive,10,6,712,3,4,70%,Low,Positive,45%
Joseph Webster,Junior,DevOps,Infrastructure as Code,40,Docker,17,Negative,5,4,767,9,4,30%,High,Positive,50%
Joseph Webster,Senior,DevOps,"Orchestration (e.g., Kubernetes)",80,Terraform,87,Positive,13,1,610,9,4,75%,Medium,Negative,70%
Joseph Webster,Senior,Mobile,Mobile app security,90,Flutter,89,Neutral,6,8,194,9,1,95%,High,Negative,90%
Joseph Webster,Senior,Frontend,Responsive web design,90,Bootstrap,129,Positive,16,3,148,5,3,75%,Low,Negative,60%
Joseph Webster,Senior,Frontend,JavaScript/jQuery,60,Angular,135,Positive,19,5,587,4,3,85%,Medium,Positive,95%
Joseph Webster,Senior,DevOps,Load balancing and scaling,60,Docker,90,Negative,8,1,562,3,1,85%,Medium,Positive,70%
Joseph Webster,Mid-Level,Frontend,JavaScript/jQuery,50,React,37,Negative,16,1,814,1,1,80%,Low,Positive,55%
Joseph Webster,Junior,DevOps,"Cloud platforms (e.g., AWS, Azure, GCP)",30,Terraform,9,Neutral,18,4,696,10,1,30%,High,Negative,30%
Joseph Webster,Mid-Level,Mobile,"Cross-platform mobile development (e.g., Flutter, React Native)",70,PhoneGap,56,Negative,10,5,438,3,1,70%,Low,Positive,45%
Joseph Webster,Mid-Level,Backend,Scalability and performance optimization,45,GraphQL,45,Neutral,14,10,346,2,3,50%,Medium,Negative,60%
Joseph Webster,Mid-Level,DevOps,Performance optimization,45,Prometheus,41,Neutral,6,8,198,0,4,70%,Low,Negative,75%
Joseph Webster,Mid-Level,Machine Learning,Computer Vision,75,Keras,65,Negative,5,9,924,0,2,50%,Low,Negative,55%
Joseph Webster,Mid-Level,DevOps,"Cloud platforms (e.g., AWS, Azure, GCP)",50,ELK Stack,64,Negative,20,7,676,9,3,50%,Low,Positive,40%
Joseph Webster,Mid-Level,Frontend,"State management (e.g., Redux, Vuex)",80,Vue.js,63,Positive,13,10,188,4,5,75%,Low,Positive,50%
Joseph Webster,Mid-Level,Frontend,Cross-platform development,45,Sass,60,Negative,5,10,995,2,2,75%,High,Positive,70%
Joseph Webster,Mid-Level,DevOps,Automated testing and deployment pipelines,60,Kubernetes,39,Neutral,13,7,566,8,3,55%,Medium,Negative,60%
Joseph Webster,Senior,Backend,RESTful services,85,Scala,100,Negative,16,10,665,7,4,95%,Low,Negative,70%
Joseph Webster,Senior,Mobile,Mobile app testing and debugging,95,NativeScript,83,Neutral,13,10,122,4,1,70%,Medium,Negative,85%
Joseph Webster,Junior,Mobile,Mobile app security,30,PhoneGap,11,Positive,14,10,607,5,5,50%,High,Negative,30%
Joseph Webster,Junior,Mobile,Mobile app UI/UX design,35,Xamarin,2,Positive,9,2,592,9,4,35%,Medium,Negative,45%
Joseph Webster,Senior,Backend,Caching strategies,60,Java,129,Neutral,11,5,104,9,3,80%,High,Positive,75%
Joseph Webster,Senior,Frontend,Browser compatibility,80,React,75,Negative,16,2,303,3,1,70%,High,Positive,85%
Danielle Hernandez,Mid-Level,DevOps,"Containerization (e.g., Docker)",60,Ansible,38,Positive,9,8,236,7,2,40%,Medium,Positive,45%
Danielle Hernandez,Junior,DevOps,"Orchestration (e.g., Kubernetes)",45,GitLab CI/CD,30,Neutral,7,6,310,10,2,40%,High,Positive,50%
Danielle Hernandez,Senior,Machine Learning,Hyperparameter tuning,60,NumPy,91,Neutral,14,9,644,9,5,85%,High,Positive,85%
Danielle Hernandez,Mid-Level,Mobile,Mobile app testing and debugging,75,Xamarin,48,Neutral,11,8,235,6,4,80%,High,Negative,75%
Danielle Hernandez,Junior,Backend,Background processing/jobs,40,GraphQL,2,Negative,17,5,202,5,2,50%,Medium,Negative,45%
Keith Joseph,Junior,DevOps,"Containerization (e.g., Docker)",50,Prometheus,20,Neutral,16,6,242,7,5,35%,Medium,Positive,30%
Keith Joseph,Junior,Frontend,JavaScript/jQuery,40,React,10,Negative,10,8,476,0,5,50%,Medium,Positive,40%
Keith Joseph,Mid-Level,Machine Learning,Data preprocessing and cleaning,55,pandas,39,Positive,16,5,710,5,2,50%,High,Negative,80%
Keith Joseph,Senior,DevOps,Backup and disaster recovery,85,Docker,142,Neutral,12,8,643,1,2,80%,Low,Positive,60%
Keith Joseph,Senior,Machine Learning,Model explainability and interpretability,60,Scikit-learn,134,Negative,10,4,339,5,4,95%,Medium,Positive,95%
Keith Joseph,Junior,DevOps,"Containerization (e.g., Docker)",30,Jenkins,33,Negative,18,1,537,9,2,50%,Low,Negative,45%
Keith Joseph,Junior,Mobile,Mobile app UI/UX design,45,PhoneGap,32,Negative,19,10,436,5,2,50%,Low,Negative,45%
Keith Joseph,Mid-Level,DevOps,"Cloud platforms (e.g., AWS, Azure, GCP)",70,Terraform,40,Negative,15,7,322,4,1,80%,Low,Positive,55%
Keith Joseph,Junior,Frontend,Cross-platform development,50,Angular,17,Positive,15,7,312,3,4,35%,High,Negative,40%
Keith Joseph,Junior,DevOps,"Cloud platforms (e.g., AWS, Azure, GCP)",30,GitLab CI/CD,15,Positive,11,9,618,10,4,30%,Low,Positive,50%
Keith Joseph,Junior,DevOps,Load balancing and scaling,45,Jenkins,27,Positive,11,6,881,10,2,40%,High,Negative,35%
Keith Joseph,Mid-Level,Machine Learning,Feature engineering,40,NumPy,42,Negative,12,7,754,8,3,40%,High,Negative,45%
Keith Joseph,Mid-Level,DevOps,"Containerization (e.g., Docker)",55,Jenkins,46,Negative,14,7,930,9,2,70%,High,Negative,60%
Lauren Landry,Junior,DevOps,"Cloud platforms (e.g., AWS, Azure, GCP)",30,GitLab CI/CD,15,Positive,16,6,460,0,1,45%,Medium,Positive,40%
Lauren Landry,Mid-Level,Machine Learning,Supervised learning algorithms,45,Python,72,Negative,10,3,343,2,4,45%,Low,Negative,70%
Lauren Landry,Senior,Backend,"ORM/ODM (e.g., SQLAlchemy, Mongoose)",80,Python,131,Neutral,11,5,378,8,5,60%,Medium,Negative,60%
Lauren Landry,Junior,Mobile,Mobile app performance optimization,30,Kotlin,17,Negative,5,1,608,10,1,40%,High,Positive,45%
Lauren Landry,Senior,DevOps,"Orchestration (e.g., Kubernetes)",60,Jenkins,130,Neutral,8,10,662,4,2,95%,Low,Negative,70%
Lauren Landry,Junior,Backend,"Web framework (e.g., Django, Flask, Express.js)",45,Node.js,27,Negative,7,9,684,7,5,45%,Low,Positive,35%
Lauren Landry,Junior,Mobile,Mobile app testing and debugging,30,Swift,7,Neutral,15,3,566,7,5,30%,Low,Positive,50%
Lauren Landry,Senior,Machine Learning,Model training and evaluation,85,TensorFlow,87,Neutral,6,1,675,9,2,85%,Medium,Positive,80%
Lauren Landry,Mid-Level,Mobile,Mobile app performance optimization,75,Swift,70,Negative,12,8,713,1,4,75%,Medium,Negative,45%
Lauren Landry,Senior,DevOps,"Orchestration (e.g., Kubernetes)",80,GitLab CI/CD,76,Positive,12,10,900,3,4,80%,Medium,Positive,75%
Lauren Landry,Senior,Frontend,User interface design,85,React,112,Negative,17,3,554,6,2,85%,Low,Positive,90%
Lauren Landry,Junior,Mobile,"Native mobile development (e.g., Swift, Kotlin)",30,Flutter,20,Negative,18,3,486,10,2,30%,High,Positive,50%
Lauren Landry,Junior,Mobile,Device compatibility,40,NativeScript,29,Negative,16,5,366,10,3,45%,Low,Positive,35%
Lauren Landry,Mid-Level,Frontend,"State management (e.g., Redux, Vuex)",45,Sass,49,Positive,13,7,305,2,2,55%,High,Negative,60%
Lauren Landry,Mid-Level,Frontend,Accessibility considerations,45,Vue.js,62,Neutral,15,7,892,5,5,45%,Low,Positive,80%
Lauren Landry,Senior,Mobile,Push notifications,95,Flutter,78,Negative,18,6,846,5,5,60%,Low,Negative,70%
Lauren Landry,Senior,DevOps,Automated testing and deployment pipelines,70,Kubernetes,144,Positive,15,7,651,2,2,95%,Medium,Positive,85%
Lauren Landry,Junior,Frontend,Form validation,50,HTML,25,Negative,17,3,305,4,2,30%,High,Negative,30%
Lauren Landry,Senior,Backend,Caching strategies,75,Python,116,Positive,9,7,788,10,2,85%,Medium,Positive,75%
Lauren Landry,Junior,Mobile,"Native mobile development (e.g., Swift, Kotlin)",45,Flutter,22,Negative,20,6,948,10,3,50%,Medium,Negative,40%
Lauren Landry,Junior,Machine Learning,Data preprocessing and cleaning,35,PyTorch,6,Negative,8,3,277,10,3,35%,Low,Positive,30%
Lauren Landry,Mid-Level,Mobile,Offline data storage and synchronization,40,Ionic,61,Neutral,10,4,822,9,4,45%,Low,Negative,40%
Gregory Cruz,Junior,DevOps,Server provisioning and configuration,35,Docker,22,Negative,12,10,280,1,2,40%,Medium,Negative,45%
Gregory Cruz,Mid-Level,Mobile,Offline data storage and synchronization,40,Flutter,55,Neutral,6,1,254,8,2,75%,Low,Negative,50%
Gregory Cruz,Senior,Frontend,Component-based architecture,95,JavaScript,106,Negative,9,1,395,3,1,95%,Low,Positive,85%
Gregory Cruz,Senior,Frontend,Component-based architecture,70,Angular,139,Neutral,8,7,804,0,2,80%,Medium,Positive,60%
Gregory Cruz,Junior,Machine Learning,Natural Language Processing (NLP),50,TensorFlow,1,Neutral,10,6,203,7,1,50%,Medium,Negative,50%
Gregory Cruz,Senior,DevOps,Performance optimization,70,GitLab CI/CD,103,Neutral,5,9,218,7,1,95%,High,Negative,75%
Gregory Cruz,Senior,Backend,Data validation and sanitization,85,Go,126,Negative,11,6,434,4,1,70%,High,Negative,80%
Gregory Cruz,Junior,Frontend,JavaScript/jQuery,45,Angular,16,Negative,8,6,566,2,2,30%,Medium,Positive,40%
Gregory Cruz,Senior,Backend,Third-party integrations,60,C#,98,Negative,12,10,399,8,4,95%,Medium,Positive,95%
Gregory Cruz,Junior,Backend,Authentication and authorization,45,Node.js,21,Neutral,8,5,406,2,5,40%,High,Positive,50%
Gregory Cruz,Senior,Mobile,Device compatibility,80,Flutter,141,Neutral,16,2,210,1,3,95%,Medium,Negative,60%
Gregory Cruz,Junior,DevOps,Automated testing and deployment pipelines,35,GitLab CI/CD,23,Positive,11,2,598,3,2,40%,Medium,Positive,45%
Gregory Cruz,Junior,Backend,Authentication and authorization,50,PHP,11,Positive,20,10,638,0,2,30%,Low,Positive,50%
Gregory Cruz,Senior,Machine Learning,Unsupervised learning algorithms,60,NumPy,100,Positive,5,6,299,3,4,90%,High,Positive,70%
Gregory Cruz,Senior,DevOps,"Containerization (e.g., Docker)",95,Prometheus,92,Negative,20,3,710,5,2,75%,Low,Negative,85%
Gregory Cruz,Senior,Backend,Background processing/jobs,60,Scala,119,Positive,7,5,708,9,4,70%,Medium,Positive,85%
Gregory Cruz,Mid-Level,Mobile,Mobile app deployment to app stores,75,Ionic,56,Neutral,17,4,552,6,5,50%,Low,Negative,55%
Gregory Cruz,Mid-Level,Mobile,Mobile app testing and debugging,70,Kotlin,38,Neutral,17,4,759,3,5,80%,High,Positive,40%
Gregory Cruz,Junior,DevOps,Log aggregation and analysis,40,Jenkins,6,Neutral,5,4,734,10,4,40%,Medium,Positive,40%
Gregory Cruz,Mid-Level,Frontend,User interface design,80,JavaScript,42,Negative,10,7,636,6,5,60%,Low,Negative,55%
Gregory Cruz,Mid-Level,Frontend,Cross-platform development,50,JavaScript,49,Negative,19,10,287,5,3,45%,Low,Positive,55%
Gregory Cruz,Senior,Mobile,Mobile app deployment to app stores,75,Kotlin,102,Neutral,19,3,626,1,2,75%,Medium,Positive,70%
Gregory Cruz,Mid-Level,Machine Learning,Data preprocessing and cleaning,55,Keras,54,Positive,5,1,259,3,2,40%,High,Positive,55%
Gregory Cruz,Junior,DevOps,Continuous Integration and Deployment (CI/CD),50,Prometheus,9,Negative,17,7,352,4,5,30%,High,Negative,35%
Gregory Cruz,Senior,Mobile,"Native mobile development (e.g., Swift, Kotlin)",85,Ionic,77,Positive,15,9,478,8,4,75%,Medium,Negative,70%
Gregory Cruz,Junior,Frontend,JavaScript/jQuery,45,Angular,26,Negative,7,7,123,1,4,45%,Medium,Positive,30%
Gregory Cruz,Senior,Mobile,Mobile app security,75,Kotlin,109,Neutral,18,10,157,7,3,70%,Medium,Positive,70%
Gregory Cruz,Mid-Level,Mobile,Mobile app deployment to app stores,55,React Native,51,Negative,15,10,297,10,4,80%,Medium,Negative,55%
Gregory Cruz,Mid-Level,Mobile,Mobile app security,80,Xamarin,52,Positive,13,3,255,8,2,60%,Low,Positive,55%
Robert Wilson,Junior,Frontend,Cross-platform development,45,Bootstrap,24,Neutral,10,8,885,3,5,45%,High,Positive,40%
Robert Wilson,Junior,Backend,Security and encryption,45,Scala,23,Neutral,18,7,694,1,2,40%,High,Negative,30%
Robert Wilson,Senior,DevOps,"Orchestration (e.g., Kubernetes)",95,Jenkins,100,Positive,9,7,106,7,3,75%,High,Negative,85%
Robert Wilson,Senior,Mobile,Device compatibility,60,Kotlin,103,Positive,14,5,385,10,2,95%,Low,Positive,90%
Robert Wilson,Mid-Level,Mobile,Offline data storage and synchronization,60,React Native,44,Negative,11,8,425,7,3,40%,High,Positive,55%
Robert Wilson,Mid-Level,Frontend,Form validation,45,Less,49,Negative,5,2,901,6,1,45%,High,Negative,75%
Robert Wilson,Junior,Frontend,Component-based architecture,30,HTML,9,Negative,14,2,733,9,4,50%,Low,Negative,30%
Robert Wilson,Mid-Level,DevOps,Infrastructure as Code,50,Docker,53,Positive,16,7,337,4,2,50%,Low,Negative,60%
Robert Wilson,Senior,DevOps,Performance optimization,80,Terraform,87,Negative,6,8,376,0,4,85%,Medium,Negative,80%
Robert Wilson,Junior,Mobile,Device compatibility,45,Swift,2,Positive,14,2,229,5,2,30%,High,Negative,50%
Robert Wilson,Senior,Mobile,Offline data storage and synchronization,85,PhoneGap,76,Neutral,18,9,323,4,5,90%,Low,Positive,80%
Robert Wilson,Senior,DevOps,Log aggregation and analysis,75,Terraform,115,Neutral,13,7,702,7,5,95%,Low,Positive,85%
Robert Wilson,Senior,Frontend,Accessibility considerations,75,Bootstrap,103,Neutral,9,8,661,8,1,60%,High,Negative,60%
Robert Wilson,Senior,Machine Learning,"Deep learning models (e.g., neural networks)",75,OpenCV,120,Negative,19,10,327,9,3,60%,High,Negative,80%
Robert Wilson,Mid-Level,Backend,Third-party integrations,55,Python,67,Negative,13,2,449,9,3,75%,Medium,Negative,75%
Robert Wilson,Mid-Level,Mobile,Device compatibility,50,PhoneGap,55,Negative,9,10,824,7,3,70%,High,Negative,80%
Robert Wilson,Senior,Backend,Background processing/jobs,70,Node.js,129,Positive,13,6,571,6,4,75%,Low,Negative,60%
Robert Wilson,Senior,DevOps,Backup and disaster recovery,85,Prometheus,80,Positive,18,3,174,10,4,85%,High,Negative,95%
Robert Wilson,Senior,Frontend,HTML/CSS markup,75,Vue.js,100,Neutral,17,3,198,3,3,85%,High,Negative,95%
Robert Wilson,Mid-Level,Machine Learning,Model training and evaluation,50,Scikit-learn,57,Positive,9,3,623,6,1,75%,Medium,Positive,75%
Robert Wilson,Junior,Backend,Data validation and sanitization,30,Go,7,Positive,20,5,661,7,3,45%,High,Negative,45%
Robert Wilson,Mid-Level,Mobile,Device compatibility,60,React Native,49,Positive,11,10,850,4,5,70%,Low,Positive,50%
Robert Wilson,Mid-Level,Frontend,"Frontend frameworks (e.g., React, Angular, Vue)",70,CSS,49,Neutral,13,10,691,5,4,50%,High,Negative,75%
Robert Wilson,Senior,Machine Learning,Data preprocessing and cleaning,70,Python,141,Neutral,8,4,719,8,5,75%,Medium,Positive,75%
Eric Johnson,Senior,DevOps,Load balancing and scaling,80,GitLab CI/CD,75,Positive,17,10,357,0,2,80%,Low,Negative,95%
Eric Johnson,Senior,Frontend,Component-based architecture,80,Sass,96,Negative,5,6,940,3,2,80%,Low,Negative,60%
Eric Johnson,Junior,DevOps,Log aggregation and analysis,40,ELK Stack,23,Negative,11,9,262,3,5,40%,Low,Positive,35%
Eric Johnson,Senior,DevOps,Server provisioning and configuration,85,Terraform,112,Negative,11,1,783,3,4,75%,High,Negative,75%
Eric Johnson,Junior,Frontend,JavaScript/jQuery,40,Bootstrap,17,Negative,20,3,129,1,4,30%,Low,Negative,40%
Eric Johnson,Junior,Frontend,Form validation,45,Angular,29,Positive,18,4,624,0,4,40%,High,Negative,45%
Eric Johnson,Senior,DevOps,Infrastructure as Code,70,Terraform,140,Neutral,9,6,256,1,4,75%,Medium,Negative,80%
Eric Johnson,Junior,DevOps,Automated testing and deployment pipelines,50,Terraform,3,Positive,5,9,585,8,4,50%,High,Negative,40%
Eric Johnson,Junior,DevOps,Security and compliance,35,Ansible,35,Positive,15,1,234,1,3,45%,Medium,Negative,40%
Eric Johnson,Junior,DevOps,Infrastructure as Code,30,Terraform,33,Neutral,12,9,600,8,3,50%,High,Negative,30%
Eric Johnson,Junior,DevOps,Log aggregation and analysis,40,GitLab CI/CD,16,Neutral,10,6,388,1,5,30%,Medium,Positive,50%
Eric Johnson,Senior,Machine Learning,Natural Language Processing (NLP),80,NumPy,90,Negative,15,5,830,9,5,70%,Low,Positive,70%
Eric Johnson,Senior,Machine Learning,Natural Language Processing (NLP),90,Python,81,Negative,11,4,758,8,5,85%,Low,Positive,70%
Eric Johnson,Mid-Level,DevOps,Infrastructure as Code,40,Prometheus,63,Negative,9,6,644,0,4,75%,Medium,Negative,45%
Eric Johnson,Junior,Mobile,Offline data storage and synchronization,50,React Native,11,Positive,8,1,618,2,2,30%,Medium,Positive,40%
Eric Johnson,Junior,Frontend,User interface design,45,React,20,Positive,7,5,980,6,5,30%,Medium,Negative,50%
Eric Johnson,Senior,Machine Learning,Feature engineering,85,Python,130,Negative,13,4,280,7,3,85%,High,Positive,80%
Eric Johnson,Junior,Mobile,Mobile app performance optimization,40,NativeScript,6,Negative,20,7,570,6,4,30%,High,Positive,40%
Eric Johnson,Mid-Level,Backend,Data validation and sanitization,80,Scala,55,Negative,11,1,399,10,2,45%,Medium,Positive,60%
Eric Johnson,Junior,Backend,API development,45,Node.js,19,Positive,6,5,992,6,3,40%,Low,Negative,35%
Eric Johnson,Mid-Level,Backend,"Server-side programming (e.g., Python, Node.js)",50,Java,48,Negative,15,6,970,6,1,45%,Medium,Positive,55%
Eric Johnson,Senior,Frontend,"State management (e.g., Redux, Vuex)",60,Webpack,105,Neutral,20,10,232,9,1,90%,High,Positive,60%
Eric Johnson,Senior,DevOps,Security and compliance,90,GitLab CI/CD,76,Negative,18,7,851,10,5,60%,High,Negative,80%
Eric Johnson,Mid-Level,DevOps,Server provisioning and configuration,60,Jenkins,69,Negative,10,1,433,0,2,40%,Medium,Negative,45%
Eric Johnson,Junior,Backend,"Web framework (e.g., Django, Flask, Express.js)",40,PHP,8,Negative,11,3,835,9,4,45%,Low,Negative,45%
Eric Johnson,Senior,Frontend,Accessibility considerations,70,Bootstrap,91,Negative,9,5,358,10,5,95%,Medium,Negative,60%
Eric Johnson,Junior,Machine Learning,Supervised learning algorithms,35,OpenCV,3,Negative,14,1,545,3,3,30%,High,Positive,40%
Eric Johnson,Mid-Level,Machine Learning,Hyperparameter tuning,45,Keras,48,Positive,20,10,678,3,5,50%,Low,Negative,75%
Eric Johnson,Junior,Frontend,Client-side routing,35,HTML,28,Neutral,18,5,673,8,5,35%,Medium,Negative,30%
Eric Johnson,Mid-Level,Mobile,Mobile app UI/UX design,40,React Native,55,Negative,15,6,876,4,2,80%,Low,Positive,55%
Danielle Bryant,Junior,Backend,Third-party integrations,40,Go,36,Neutral,19,6,718,0,1,30%,High,Positive,30%
Danielle Bryant,Junior,Backend,Caching strategies,45,Python,11,Negative,13,4,193,2,5,40%,Low,Positive,40%
Danielle Bryant,Junior,Mobile,Device compatibility,40,Kotlin,26,Neutral,17,1,667,0,1,35%,Medium,Positive,35%
Danielle Bryant,Junior,Backend,"Server-side programming (e.g., Python, Node.js)",50,Java,25,Negative,18,8,221,2,1,35%,Low,Positive,30%
Danielle Bryant,Senior,Backend,Scalability and performance optimization,60,Scala,85,Positive,19,10,820,6,2,75%,Medium,Negative,80%
Danielle Bryant,Junior,Machine Learning,Supervised learning algorithms,45,PyTorch,17,Neutral,9,6,492,9,5,30%,Medium,Negative,35%
Danielle Bryant,Junior,Frontend,"State management (e.g., Redux, Vuex)",30,JavaScript,12,Neutral,13,2,141,9,1,45%,Low,Negative,30%
Danielle Bryant,Mid-Level,Frontend,Responsive web design,55,Bootstrap,69,Negative,11,6,448,1,3,40%,High,Negative,70%
Danielle Bryant,Junior,DevOps,Log aggregation and analysis,30,Terraform,11,Neutral,18,1,343,9,5,30%,High,Positive,35%
Danielle Bryant,Junior,Backend,"Web framework (e.g., Django, Flask, Express.js)",50,Go,6,Neutral,19,2,112,1,5,40%,Low,Positive,30%
Danielle Bryant,Mid-Level,Frontend,Form validation,45,HTML,51,Neutral,10,9,700,8,5,50%,High,Positive,80%
Danielle Bryant,Junior,DevOps,Automated testing and deployment pipelines,45,Jenkins,21,Negative,7,6,321,3,4,40%,Low,Positive,40%
Danielle Bryant,Mid-Level,Machine Learning,Data visualization,50,Keras,63,Positive,18,9,152,8,2,55%,High,Positive,50%
Danielle Bryant,Senior,Machine Learning,Model deployment and serving,70,NumPy,112,Negative,12,5,415,1,4,70%,Low,Negative,75%
Danielle Bryant,Senior,Backend,Third-party integrations,85,Python,118,Positive,9,9,612,4,1,95%,Medium,Positive,70%
Danielle Bryant,Mid-Level,Backend,Websockets and real-time communication,60,Ruby,44,Neutral,9,1,649,0,4,50%,Medium,Positive,80%
Danielle Bryant,Junior,Machine Learning,Computer Vision,40,Scikit-learn,31,Negative,8,9,840,6,5,30%,High,Positive,35%
Danielle Bryant,Mid-Level,Frontend,Performance optimization,60,React,59,Positive,19,7,569,9,5,60%,Medium,Negative,45%
Danielle Bryant,Senior,Backend,Caching strategies,90,Ruby,128,Positive,10,7,852,5,4,80%,Low,Negative,90%
Danielle Bryant,Senior,Frontend,User interface design,90,Bootstrap,93,Positive,5,9,991,2,1,60%,High,Negative,70%
Danielle Bryant,Junior,Backend,"Web framework (e.g., Django, Flask, Express.js)",45,Go,30,Neutral,14,4,168,7,5,35%,Medium,Positive,30%
Danielle Bryant,Junior,Mobile,Device compatibility,35,Swift,34,Positive,5,6,305,3,2,35%,Low,Negative,30%
Danielle Bryant,Senior,Backend,Scalability and performance optimization,60,PHP,115,Neutral,7,5,177,3,1,75%,Low,Negative,75%