0.0.1 Canary-Releasing code for a second version. (#39)

* 001 remove unnecessary images

* 002 Updated the readme

* Removed all the screenshots

* Alpha-001-Initial-changes

* 001-Added Scripts to load data.

* 002 WIP for preprocessing

* 005 Functionable preprocessing pipe

* 006 Classes are complete

* 007 Preprocess, json parsing pipeline is done 🎉

* 008 Preprocessing to JSON is complete. 🎉

* 009 Working on Streamlit app

* 010-Steamlit-app + data-viz is complete

* 011- Updated Git Ignore

* 012 - Code Cleanup Phase 01

* 012 - Code Cleanup Phase 02

* 014 - Code Cleanup Phase 02

* 015 Code cleanup phase 02

* 016 Code Cleanup Phase 02

* 017 Added Header Image

* 018 Updated the Readme.

.gitignore

@@ -127,3 +127,11 @@ dmypy.json
 
 # Pyre type checker
 .pyre/
+
+#IntelliJ Idea Files
+.idea
+.idea/*
+
+# Vscode's Files
+.vscode
+.vscode/*

Cleaner.py

@@ -1,55 +0,0 @@
-import spacy
-import Distill
-
-try:
-    nlp = spacy.load('en_core_web_sm')
-
-except ImportError:
-    print("Spacy's English Language Modules aren't present \n Install them by doing \n python -m spacy download en_core_web_sm")
-
-
-def _base_clean(text):
-    """
-    Takes in text read by the parser file and then does the text cleaning.
-    """
-    text = Distill.tokenize(text)
-    text = Distill.remove_stopwords(text)
-    text = Distill.remove_tags(text)
-    text = Distill.lemmatize(text)
-    return text
-
-
-def _reduce_redundancy(text):
-    """
-    Takes in text that has been cleaned by the _base_clean and uses set to reduce the repeating words
-    giving only a single word that is needed.
-    """
-    return list(set(text))
-
-
-def _get_target_words(text):
-    """
-    Takes in text and uses Spacy Tags on it, to extract the relevant Noun, Proper Noun words that contain words related to tech and JD. 
-
-    """
-    target = []
-    sent = " ".join(text)
-    doc = nlp(sent)
-    for token in doc:
-        if token.tag_ in ['NN', 'NNP']:
-            target.append(token.text)
-    return target
-
-
-# https://towardsdatascience.com/overview-of-text-similarity-metrics-3397c4601f50
-# https://towardsdatascience.com/the-best-document-similarity-algorithm-in-2020-a-beginners-guide-a01b9ef8cf05
-
-def Cleaner(text):
-    sentence = []
-    sentence_cleaned = _base_clean(text)
-    sentence.append(sentence_cleaned)
-    sentence_reduced = _reduce_redundancy(sentence_cleaned)
-    sentence.append(sentence_reduced)
-    sentence_targetted = _get_target_words(sentence_reduced)
-    sentence.append(sentence_targetted)
-    return sentence

Data/Processed/Job-Desc-37a376db-55f8-476b-a165-81758187b9a8.json

@@ -0,0 +1,321 @@
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+              "clean_data": "Job Description Java Developer  \n \nWe are seeking an experienced Java developer to join our team The ideal \ncandidate should have at least 5 years of experience in Java development with a \nfocus on developing and maintaining enterprise level applications The candidate \nshould also possess e xcellent communication skills and a collaborative mindset \nwith an ability to work in a fast paced dynamic team environment  \n \nResponsibilities  \n \nDevelop test and maintain Java based applications using industry standard \nframeworks and technologies  \nColla borate with cross functional teams to identify and address business \nrequirements and technical issues  \nParticipate in design and architecture discussions to ensure the development of \nscalable efficient and secure applications  \nWrite clean efficient and  welldocumented code that adheres to industry best \npractices and standards  \nParticipate in code reviews testing and deployment activities as required  \nContinuously improve your knowledge and skills in Java development including \nemerging technologies an d frameworks  \nCommunicate with team members and stakeholders to understand business \nrequirements and deliver solutions that meet or exceed expectations  \nRequirements  \n \nBachelor's or Master's degree in Computer Science Engineering or related field  \nAt lea st 5 years of experience in Java development with strong proficiency in \nJava Spring and Hibernate frameworks   Experience with web development technologies such as HTML CSS and \nJavaScript  \nKnowledge of database technologies such as Oracle MySQL or SQ L Server  \nExperience with Agile development methodologies  \nStrong understanding of software development best practices including object \noriented design principles testing and version control systems such as Git  \nExcellent written and verbal communicatio n skills  \nStrong problem solving and critical thinking skills  \nAbility to work independently and collaboratively in a team environment  \nIf you are passionate about Java development and have a desire to work with \ncutting edge technologies and frameworks we  encourage you to apply We offer a \ncompetitive salary comprehensive benefits package and a dynamic work \nenvironment with opportunities for growth and advancement  ",
+              "entities": [
+                            "Computer Science Engineering",
+                            "HTML CSS",
+                            "Oracle MySQL or",
+                            "SQ L Server",
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+              "job_desc_data": "Job Description: Java Developer  \n \nWe are seeking an experienced Java developer to join our team. The ideal \ncandidate should have at least 5 years of experience in Java development, with a \nfocus on developing and maintaining enterprise -level applications. The candidate \nshould also possess e xcellent communication skills and a collaborative mindset, \nwith an ability to work in a fast -paced, dynamic team environment.  \n \nResponsibilities:  \n \nDevelop, test, and maintain Java -based applications using industry -standard \nframeworks and technologies.  \nColla borate with cross -functional teams to identify and address business \nrequirements and technical issues.  \nParticipate in design and architecture discussions to ensure the development of \nscalable, efficient, and secure applications.  \nWrite clean, efficient, and  well-documented code that adheres to industry best \npractices and standards.  \nParticipate in code reviews, testing, and deployment activities as required.  \nContinuously improve your knowledge and skills in Java development, including \nemerging technologies an d frameworks.  \nCommunicate with team members and stakeholders to understand business \nrequirements and deliver solutions that meet or exceed expectations.  \nRequirements:  \n \nBachelor's or Master's degree in Computer Science, Engineering, or related field.  \nAt lea st 5 years of experience in Java development, with strong proficiency in \nJava, Spring, and Hibernate frameworks.   Experience with web development technologies such as HTML, CSS, and \nJavaScript.  \nKnowledge of database technologies such as Oracle, MySQL, or SQ L Server.  \nExperience with Agile development methodologies.  \nStrong understanding of software development best practices, including object -\noriented design principles, testing, and version control systems such as Git.  \nExcellent written and verbal communicatio n skills.  \nStrong problem -solving and critical -thinking skills.  \nAbility to work independently and collaboratively in a team environment.  \nIf you are passionate about Java development and have a desire to work with \ncutting -edge technologies and frameworks, we  encourage you to apply. We offer a \ncompetitive salary, comprehensive benefits package, and a dynamic work \nenvironment with opportunities for growth and advancement.  ",
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+              "unique_id": "37a376db-55f8-476b-a165-81758187b9a8"
+}

Data/Processed/Job-Desc-a4f06ccb-8d5a-4d0b-9f02-3ba6d686472e.json

@@ -0,0 +1,430 @@
+{
+              "bi_grams": "[Job Description, Description Machine, Machine Learning, Learning Engineer, highly skilled, experienced Machine, Machine Learning, Learning Engineer, ideal candidate, strong background, deep understanding, machine learning, learning algorithms, significant experience, real world, world problems, possess excellent, excellent research, research skills, str ong, ong mathematical, mathematical background, implementing cutting, cutting edge, edge machine, machine learning, Conduct research, develop innovative, innovative machine, machine learning, learning models, solve complex, complex business, business problems, implement machine, machine learning, learning systems, data collection, preprocessing feature, feature engineering, engineering model, model training, cross functional, functional teams, understand business, business requirements, machine learn, learn ing, ing solutions, Perform exploratory, exploratory data, data analysis, analysis feature, feature selection, dimensionality reduction, improve model, model performance, maintain large, large scale, scale machine, machine learning, learning infrastructure, computing systems, benchmark diffe, diffe rent, rent machine, machine learning, learning algorithms, effective approaches, specific tasks, latest advancements, machine learning, learning research, enhance existing, existing models, Present resear, resear ch, ch findings, technical concepts, technical stakeholders, concise manner, provide guidance, junior members, team sharing, sharing knowledge, best practices, machine learning, PhD degree, Computer Science, Science Electrical, Electrical Engineering, Engineering Statistics, related field, industry experience, machine learning, Extensive experience, deploying ma, ma chine, chine learning, learning models, TensorFlow PyTorch, scikit learn, Strong background, statistical analysis, analysis mathematical, mathematical modeling, Solid understanding, deep learning, learning architectures, architectures including, including conv, conv olutional, olutional neural, networks CNNs, CNNs recurrent, recurrent neural, neural networks, networks RNNs, transformer models, programming languages, tools commonly, machine learning, large datasets, implementing efficient, efficient data, feature extraction, extraction techniques, cloud platforms, distributed computing, computing frameworks, frameworks eg, AWS GCP, GCP Hadoop, Hadoop Spark, Strong problem, problem solving, solving skills, think critically, d creatively, solve complex, complex machine, machine learning, learning challenges, Excellent communication, communication skills, effectively collaborate, cross functional, functional teams, present technical, technical concepts, technical stakeholders, self driven, driven individual, strong passion, machine learning, cutting edge, edge projects, competitive salary, salary comprehensive, comprehensive benefits, benefits package, stimulating work, f osters, osters innovation, professional growth]",
+              "clean_data": "Job Description Machine Learning Engineer  \n \nWe are seeking a highly skilled and experienced Machine Learning Engineer to \njoin our team The ideal candidate should have a strong background in machine \nlearning with a focus on research and development The candidate should have a \ndeep understanding of various machine learning algorithms and techniques along \nwith significant experience in applying them to real world problems The candidate \nshould also possess excellent research skills a str ong mathematical background \nand a passion for exploring and implementing cutting edge machine learning \nsolutions  \n \nResponsibilities  \n \nConduct research and develop innovative machine learning models and algorithms \nto solve complex business problems  \nDesign  and implement machine learning systems and pipelines for data collection \npreprocessing feature engineering model training and evaluation  \nCollaborate with cross functional teams to understand business requirements and \ntranslate them into machine learn ing solutions  \nPerform exploratory data analysis feature selection and dimensionality reduction \nto improve model performance  \nDevelop and maintain large scale machine learning infrastructure and distributed \ncomputing systems  \nEvaluate and benchmark diffe rent machine learning algorithms and frameworks to \nidentify the most effective approaches for specific tasks  \nStay up todate with the latest advancements in machine learning research and \napply them to enhance existing models and algorithms  \nPresent resear ch findings and technical concepts to both technical and non \ntechnical stakeholders in a clear and concise manner   Mentor and provide guidance to junior members of the team sharing knowledge \nand best practices in machine learning  \nRequirements  \n \nMaster's or PhD degree in Computer Science Electrical Engineering Statistics or \na related field  \nMinimum of 5 years of industry experience in machine learning with a strong \nfocus on research and development  \nExtensive experience in developing and deploying ma chine learning models at \nscale using frameworks such as TensorFlow PyTorch or scikit learn  \nStrong background in statistical analysis mathematical modeling and optimization \nalgorithms  \nSolid understanding of deep learning architectures including conv olutional neural \nnetworks CNNs recurrent neural networks RNNs and transformer models  \nProficiency in programming languages such as Python along with libraries and \ntools commonly used in machine learning  \nExperience in working with large datasets and  implementing efficient data \nprocessing and feature extraction techniques  \nFamiliarity with cloud platforms and distributed computing frameworks eg \nAWS GCP Hadoop Spark is a plus  \nStrong problem solving skills and the ability to think critically an d creatively to \nsolve complex machine learning challenges  \nExcellent communication skills with the ability to effectively collaborate with \ncross functional teams and present technical concepts to both technical and non \ntechnical stakeholders  \nIf you are a self driven individual with a strong passion for machine learning \nresearch and a desire to work on cutting edge projects we invite you to apply We \noffer a competitive salary comprehensive benefits package and a stimulating work \nenvironment that f osters innovation and professional growth  ",
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+}

Data/Processed/Resume-e871fd8d-2097-4804-aa34-004397005e29.json

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+              "bi_grams": "[John Smith, Senior Python, Python Developer, Machine Learning, Learning Engineer, LinkedIn linkedincom, Experienced Python, Python developer, solving complex, complex problems, building scalable, efficient systems, systems Proven, Proven ability, deliver high, high quality, quality software, budget Skilled, technologies including, including machine, machine learning, learning d, d ata, ata analysis, cloud computing, computing Seeking, challenging position, Machine Learning, Learning Engineer, Professional Experience, ABC Company, Senior Python, Python Developer, secure API, leading e, e commerce, commerce platf, platf orm, real time, time recommendation, recommendation system, collaborative filtering, fraud detection, detection system, machine learning, learning algorithms, XGBoos t, Random Forest, XYZ Corporation, Python Developer, machine learning, learning pipeline, customer retention, retention model, Python Scikit, data science, science models, Kub ernetes, real time, time chatbot, natural language, language processing, processing techniques, DEF Inc, Software Engineer, large scale, scale distributed, distributed system, leading financial, financial services, services company, P ython, data pipeline, processing large, large amounts, financial data, Apache Kafka, Apache Hadoop, time series, series forecasting, forecasting model, predicting stock, stock prices, Image Recognition, Convolutional Neural, Neural Networks, deep learning, learning model, image recognition, AWS Lambda, API Gateway, Fraud Detection, Graph Analytics, graph based, based algorithm, fraud detection, false positive, positive rate, previous rule, rule based, based system, Visu alized, Sentiment Analysis, Recurrent Neural, Neural Networks, sentiment analysis, analysis model, IMDb dataset, Recommendation System, Collaborative Filtering, collaborative filtering, filtering algorithm, movie recommendation, recommendation system, previous model, AWS SageMaker, Computer Science, Science XYZ, XYZ University, Computer Science, Science ABC, ABC University, Programming languages, languages Python, Python Java, Java C++, Machine learning, learning frameworks, frameworks Scikit, Scikit Learn, Learn TensorFlow, TensorFlow Keras, Keras PyTorch, Data processing, processing frameworks, frameworks Spark, Spark Hadoop, Hadoop Kafka, Cloud computing, computing AWS, AWS GCP, Databases SQL, SQL MongoDB, MongoDB Neo4j, Web frameworks, frameworks Django, Django Flask, Flask React]",
+              "clean_data": "John Smith  \nSenior Python Developer and Machine Learning Engineer  \n \nEmail   \nLinkedIn linkedincom/in/johnsmith  \n \nSummary  \nExperienced Python developer with a passion for solving complex problems and building scalable and \nefficient systems Proven ability to deliver high quality software on time and on budget Skilled in a \nvariety of technologies including machine learning d ata analysis and cloud computing Seeking a \nchallenging position as a Machine Learning Engineer  \n \nProfessional Experience  \nABC Company  \nSenior Python Developer 2021  Present  \n \nDeveloped and maintained a scalable and secure API for a leading e commerce platf orm using Python \nDjango and AWS  \nDesigned and implemented a real time recommendation system using collaborative filtering and matrix \nfactorization  \nImproved the accuracy of a fraud detection system by 20% using machine learning algorithms such as \nXGBoos t and Random Forest  \nXYZ Corporation  \nPython Developer 2019  2021  \n \nBuilt and deployed a machine learning pipeline for a customer retention model using Python Scikit \nLearn and AWS  \nAutomated the deployment of data science models into production using Kub ernetes and Docker  \nLed a team of 3 developers to develop a real time chatbot using natural language processing techniques  \nDEF Inc  \nSoftware Engineer 2017  2019    \nWorked on a large scale distributed system for a leading financial services company using P ython and \nSpark  \nDesigned and implemented a data pipeline for ingesting and processing large amounts of financial data \nusing Apache Kafka and Apache Hadoop  \nDeveloped a time series forecasting model for predicting stock prices using Prophet and ARIMA  \nProjects \nImage Recognition using Convolutional Neural Networks  \nBuilt a deep learning model for image recognition using TensorFlow and Keras  \nAchieved 90% accuracy on the CIFAR 10 dataset  \nDeployed the model using AWS Lambda and API Gateway  \nFraud Detection using Graph Analytics  \nDeveloped a graph based algorithm for fraud detection using Neo4j and Python  \nReduced the false positive rate by 30% compared to the previous rule based system  \nVisu alized the graph using D3js and Flask  \nSentiment Analysis using Recurrent Neural Networks  \nBuilt a sentiment analysis model using LSTM and Word2Vec  \nAchieved 85% accuracy on the IMDb dataset  \nDeployed the model using Flask and Docker  \nRecommendation System  using Collaborative Filtering  \nDesigned and implemented a collaborative filtering algorithm for a movie recommendation system  \nImproved the accuracy of the system by 25% compared to the previous model  \nDeployed the model using AWS SageMaker and Lambda  \nEducation  \nMaster of Science in Computer Science XYZ University 2017  \nBachelor of Engineering in Computer Science ABC University 2015  \nSkills  \nProgramming languages Python Java C++  \nMachine learning frameworks Scikit Learn TensorFlow Keras PyTorch   Data processing frameworks Spark Hadoop Kafka  \nCloud computing AWS GCP  \nDatabases SQL MongoDB Neo4j  \nWeb frameworks Django Flask React  ",
+              "emails": [
+                            "john.smith@email.com"
+              ],
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+                            "LinkedIn",
+                            "Machine Learning Engineer",
+                            "ABC Company  \nSenior Python Developer",
+                            "API",
+                            "Random Forest",
+                            "AWS",
+                            "Kub",
+                            "DEF Inc  \nSoftware",
+                            "P",
+                            "Spark  \nDesigned",
+                            "Convolutional Neural Networks",
+                            "Keras",
+                            "Recurrent Neural Networks",
+                            "Lambda  \nEducation",
+                            "Computer Science ABC University",
+                            "Scikit Learn TensorFlow Keras PyTorch",
+                            "Spark Hadoop Kafka  \nCloud",
+                            "GCP"
+              ],
+              "experience": "Summary  \n Experienced Python developer with a passion for solving complex problems and building scalable and \n efficient systems Proven ability to deliver high quality software on time and on budget Skilled in a \n variety of technologies including machine learning d ata analysis and cloud computing Seeking a \n challenging position as a Machine Learning Engineer  \n \n Professional Experience  \n ABC Company  \n Senior Python Developer 2021   Present  \n \n Developed and maintained a scalable and secure API for a leading e commerce platf orm using Python \n Django and AWS  \n Designed and implemented a real time recommendation system using collaborative filtering and matrix \n factorization  \n Improved the accuracy of a fraud detection system by 20 % using machine learning algorithms such as \n XGBoos t and Random Forest  \n XYZ Corporation  \n Python Developer 2019   2021  \n \n Built and deployed a machine learning pipeline for a customer retention model using Python Scikit \n Learn and AWS  \n Automated the deployment of data science models into production using Kub ernetes and Docker  \n Led a team of 3 developers to develop a real time chatbot using natural language processing techniques  \n DEF Inc  \n Software Engineer 2017   2019    \n Worked on a large scale distributed system for a leading financial services company using P ython and \n Spark  \n Designed and implemented a data pipeline for ingesting and processing large amounts of financial data \n using Apache Kafka and Apache Hadoop  \n Developed a time series forecasting model for predicting stock prices using Prophet and ARIMA  \n Projects \n Image Recognition using Convolutional Neural Networks  \n Built a deep learning model for image recognition using TensorFlow and Keras  \n Achieved 90 % accuracy on the CIFAR 10 dataset  \n Deployed the model using AWS Lambda and API Gateway  \n Fraud Detection using Graph Analytics  \n Developed a graph based algorithm for fraud detection using Neo4j and Python  \n Reduced the false positive rate by 30 % compared to the previous rule based system  \n Visu alized the graph using D3js and Flask  \n Sentiment Analysis using Recurrent Neural Networks  \n Built a sentiment analysis model using LSTM and Word2Vec  \n Achieved 85 % accuracy on the IMDb dataset  \n Deployed the model using Flask and Docker  \n Recommendation System   using Collaborative Filtering  \n Designed and implemented a collaborative filtering algorithm for a movie recommendation system  \n Improved the accuracy of the system by 25 % compared to the previous model  \n Deployed the model using AWS SageMaker and Lambda  \n Education  \n Master of Science in Computer Science XYZ University 2017  \n Bachelor of Engineering in Computer Science ABC University 2015  \n Skills  \n Programming languages Python Java C++  \n Machine learning frameworks Scikit Learn TensorFlow Keras PyTorch    Data processing frameworks Spark Hadoop Kafka  \n Cloud computing AWS GCP  \n Databases SQL MongoDB Neo4j  \n Web frameworks Django Flask React  ",
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+              "resume_data": "John Smith  \nSenior Python Developer and Machine Learning Engineer  \n \nEmail: john.smith@email.com  \nLinkedIn: linkedin.com/in/johnsmith  \n \nSummary  \nExperienced Python developer with a passion for solving complex problems and building scalable and \nefficient systems. Proven ability to deliver high -quality software on time and on budget. Skilled in a \nvariety of technologies, including machine learning, d ata analysis, and cloud computing. Seeking a \nchallenging position as a Machine Learning Engineer.  \n \nProfessional Experience  \nABC Company  \nSenior Python Developer, 2021 - Present  \n \nDeveloped and maintained a scalable and secure API for a leading e -commerce platf orm using Python, \nDjango, and AWS.  \nDesigned and implemented a real -time recommendation system using collaborative filtering and matrix \nfactorization.  \nImproved the accuracy of a fraud detection system by 20% using machine learning algorithms such as \nXGBoos t and Random Forest.  \nXYZ Corporation  \nPython Developer, 2019 - 2021  \n \nBuilt and deployed a machine learning pipeline for a customer retention model using Python, Scikit -\nLearn, and AWS.  \nAutomated the deployment of data science models into production using Kub ernetes and Docker.  \nLed a team of 3 developers to develop a real -time chatbot using natural language processing techniques.  \nDEF Inc.  \nSoftware Engineer, 2017 - 2019    \nWorked on a large -scale distributed system for a leading financial services company using P ython and \nSpark.  \nDesigned and implemented a data pipeline for ingesting and processing large amounts of financial data \nusing Apache Kafka and Apache Hadoop.  \nDeveloped a time -series forecasting model for predicting stock prices using Prophet and ARIMA.  \nProjects \nImage Recognition using Convolutional Neural Networks  \nBuilt a deep learning model for image recognition using TensorFlow and Keras.  \nAchieved 90% accuracy on the CIFAR -10 dataset.  \nDeployed the model using AWS Lambda and API Gateway.  \nFraud Detection using Graph Analytics  \nDeveloped a graph -based algorithm for fraud detection using Neo4j and Python.  \nReduced the false positive rate by 30% compared to the previous rule -based system.  \nVisu alized the graph using D3.js and Flask.  \nSentiment Analysis using Recurrent Neural Networks  \nBuilt a sentiment analysis model using LSTM and Word2Vec.  \nAchieved 85% accuracy on the IMDb dataset.  \nDeployed the model using Flask and Docker.  \nRecommendation System  using Collaborative Filtering  \nDesigned and implemented a collaborative filtering algorithm for a movie recommendation system.  \nImproved the accuracy of the system by 25% compared to the previous model.  \nDeployed the model using AWS SageMaker and Lambda.  \nEducation  \nMaster of Science in Computer Science, XYZ University, 2017  \nBachelor of Engineering in Computer Science, ABC University, 2015  \nSkills  \nProgramming languages: Python, Java, C++  \nMachine learning frameworks: Scikit -Learn, TensorFlow, Keras, PyTorch   Data processing frameworks: Spark, Hadoop, Kafka  \nCloud computing: AWS, GCP  \nDatabases: SQL, MongoDB, Neo4j  \nWeb frameworks: Django, Flask, React  ",
+              "tri_grams": "[Senior Python Developer, Developer and Machine, Machine Learning Engineer, Experienced Python developer, passion for solving, solving complex problems, problems and building, efficient systems Proven, systems Proven ability, ability to deliver, deliver high quality, high quality software, software on time, variety of technologies, technologies including machine, including machine learning, machine learning d, learning d ata, d ata analysis, analysis and cloud, cloud computing Seeking, Machine Learning Engineer, Senior Python Developer, Developed and maintained, maintained a scalable, scalable and secure, leading e commerce, e commerce platf, commerce platf orm, orm using Python, Django and AWS, Designed and implemented, implemented a real, real time recommendation, time recommendation system, system using collaborative, filtering and matrix, Improved the accuracy, fraud detection system, machine learning algorithms, t and Random, Built and deployed, deployed a machine, machine learning pipeline, customer retention model, model using Python, Learn and AWS, Automated the deployment, deployment of data, data science models, models into production, production using Kub, ernetes and Docker, Led a team, developers to develop, develop a real, real time chatbot, chatbot using natural, natural language processing, language processing techniques, large scale distributed, scale distributed system, leading financial services, financial services company, company using P, Designed and implemented, implemented a data, pipeline for ingesting, ingesting and processing, processing large amounts, amounts of financial, Kafka and Apache, Developed a time, time series forecasting, series forecasting model, model for predicting, predicting stock prices, prices using Prophet, Prophet and ARIMA, Recognition using Convolutional, Convolutional Neural Networks, Built a deep, deep learning model, model for image, recognition using TensorFlow, TensorFlow and Keras, Deployed the model, model using AWS, Lambda and API, Detection using Graph, Developed a graph, graph based algorithm, algorithm for fraud, detection using Neo4j, Neo4j and Python, Reduced the false, false positive rate, previous rule based, rule based system, alized the graph, graph using D3js, D3js and Flask, Analysis using Recurrent, Recurrent Neural Networks, Built a sentiment, sentiment analysis model, model using LSTM, LSTM and Word2Vec, Deployed the model, model using Flask, Flask and Docker, Designed and implemented, implemented a collaborative, collaborative filtering algorithm, movie recommendation system, Improved the accuracy, Deployed the model, model using AWS, SageMaker and Lambda, Master of Science, Science in Computer, Computer Science XYZ, Science XYZ University, Bachelor of Engineering, Engineering in Computer, Computer Science ABC, Science ABC University, Programming languages Python, languages Python Java, Python Java C++, Machine learning frameworks, learning frameworks Scikit, frameworks Scikit Learn, Scikit Learn TensorFlow, Learn TensorFlow Keras, TensorFlow Keras PyTorch, Data processing frameworks, processing frameworks Spark, frameworks Spark Hadoop, Spark Hadoop Kafka, Cloud computing AWS, computing AWS GCP, Databases SQL MongoDB, SQL MongoDB Neo4j, Web frameworks Django, frameworks Django Flask, Django Flask React]",
+              "unique_id": "e871fd8d-2097-4804-aa34-004397005e29",
+              "years": []
+}

Data/Raw/job_1.txt

@@ -0,0 +1,28 @@
+Job Description: Machine Learning Engineer
+
+We are seeking a highly skilled and experienced Machine Learning Engineer to join our team. The ideal candidate should have a strong background in machine learning, with a focus on research and development. The candidate should have a deep understanding of various machine learning algorithms and techniques, along with significant experience in applying them to real-world problems. The candidate should also possess excellent research skills, a strong mathematical background, and a passion for exploring and implementing cutting-edge machine learning solutions.
+
+Responsibilities:
+
+Conduct research and develop innovative machine learning models and algorithms to solve complex business problems.
+Design and implement machine learning systems and pipelines for data collection, preprocessing, feature engineering, model training, and evaluation.
+Collaborate with cross-functional teams to understand business requirements and translate them into machine learning solutions.
+Perform exploratory data analysis, feature selection, and dimensionality reduction to improve model performance.
+Develop and maintain large-scale machine learning infrastructure and distributed computing systems.
+Evaluate and benchmark different machine learning algorithms and frameworks to identify the most effective approaches for specific tasks.
+Stay up-to-date with the latest advancements in machine learning research and apply them to enhance existing models and algorithms.
+Present research findings and technical concepts to both technical and non-technical stakeholders in a clear and concise manner.
+Mentor and provide guidance to junior members of the team, sharing knowledge and best practices in machine learning.
+Requirements:
+
+Master's or Ph.D. degree in Computer Science, Electrical Engineering, Statistics, or a related field.
+Minimum of 5 years of industry experience in machine learning, with a strong focus on research and development.
+Extensive experience in developing and deploying machine learning models at scale, using frameworks such as TensorFlow, PyTorch, or scikit-learn.
+Strong background in statistical analysis, mathematical modeling, and optimization algorithms.
+Solid understanding of deep learning architectures, including convolutional neural networks (CNNs), recurrent neural networks (RNNs), and transformer models.
+Proficiency in programming languages such as Python, along with libraries and tools commonly used in machine learning.
+Experience in working with large datasets and implementing efficient data processing and feature extraction techniques.
+Familiarity with cloud platforms and distributed computing frameworks (e.g., AWS, GCP, Hadoop, Spark) is a plus.
+Strong problem-solving skills and the ability to think critically and creatively to solve complex machine learning challenges.
+Excellent communication skills, with the ability to effectively collaborate with cross-functional teams and present technical concepts to both technical and non-technical stakeholders.
+If you are a self-driven individual with a strong passion for machine learning research and a desire to work on cutting-edge projects, we invite you to apply. We offer a competitive salary, comprehensive benefits package, and a stimulating work environment that fosters innovation and professional growth.

Data/Raw/job_2.txt

@@ -0,0 +1,25 @@
+Job Description: Java Developer
+
+We are seeking an experienced Java developer to join our team. The ideal candidate should have at least 5 years of experience in Java development, with a focus on developing and maintaining enterprise-level applications. The candidate should also possess excellent communication skills and a collaborative mindset, with an ability to work in a fast-paced, dynamic team environment.
+
+Responsibilities:
+
+Develop, test, and maintain Java-based applications using industry-standard frameworks and technologies.
+Collaborate with cross-functional teams to identify and address business requirements and technical issues.
+Participate in design and architecture discussions to ensure the development of scalable, efficient, and secure applications.
+Write clean, efficient, and well-documented code that adheres to industry best practices and standards.
+Participate in code reviews, testing, and deployment activities as required.
+Continuously improve your knowledge and skills in Java development, including emerging technologies and frameworks.
+Communicate with team members and stakeholders to understand business requirements and deliver solutions that meet or exceed expectations.
+Requirements:
+
+Bachelor's or Master's degree in Computer Science, Engineering, or related field.
+At least 5 years of experience in Java development, with strong proficiency in Java, Spring, and Hibernate frameworks.
+Experience with web development technologies such as HTML, CSS, and JavaScript.
+Knowledge of database technologies such as Oracle, MySQL, or SQL Server.
+Experience with Agile development methodologies.
+Strong understanding of software development best practices, including object-oriented design principles, testing, and version control systems such as Git.
+Excellent written and verbal communication skills.
+Strong problem-solving and critical-thinking skills.
+Ability to work independently and collaboratively in a team environment.
+If you are passionate about Java development and have a desire to work with cutting-edge technologies and frameworks, we encourage you to apply. We offer a competitive salary, comprehensive benefits package, and a dynamic work environment with opportunities for growth and advancement.

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