| # John Doe | |
| 📍 Berlin, Germany | |
| 📧 john.doe@email.com | |
| 📞 +49 123 456789 | |
| 🔗 [LinkedIn](https://linkedin.com/in/johndoe) • [GitHub](https://github.com/johndoe5629) | |
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| ## 🧠 About Me | |
| Experienced software engineer with 10+ years in full-stack development, including backend architecture and modern frontend frameworks. Known for my problem-solving mindset and adaptability across tech stacks. Recently, I have developed a strong interest in **data science and machine learning**, driven by my passion for data-driven decision-making and advanced analytics. I’m actively seeking opportunities to leverage my engineering background in the field of data science. | |
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| ## 🎓 Education | |
| **M.Sc. in Computer Science** | |
| *Technical University of Munich (TUM)* – Munich, Germany | |
| _2011 – 2013_ | |
| **B.Sc. in Computer Science** | |
| *University of Stuttgart* – Stuttgart, Germany | |
| _2008 – 2011_ | |
| **Professional Development Courses** | |
| - *IBM Data Science Professional Certificate*, Coursera (2024) | |
| - *Deep Learning Specialization*, deeplearning.ai (2024) | |
| - *DataCamp Tracks*: Python for Data Science, Data Analyst in Python | |
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| ## 💼 Work Experience | |
| ### **Senior Frontend Developer** | |
| **TechWorks GmbH** – Berlin, Germany | |
| *2020 – Present* | |
| - Led a team of 4 frontend developers in designing SPAs using React and TypeScript | |
| - Collaborated with data analysts to design dashboards and data visualizations | |
| - Integrated REST APIs and GraphQL for scalable frontend architecture | |
| ### **Full-Stack Developer** | |
| **NextGen Solutions** – Hamburg, Germany | |
| *2016 – 2020* | |
| - Designed and maintained microservice-based architecture with Node.js and Express | |
| - Developed internal analytics tools in Python and Flask | |
| - Contributed to DevOps initiatives: Docker, CI/CD, AWS Lambda functions | |
| ### **Backend Developer** | |
| **ByteForge AG** – Stuttgart, Germany | |
| *2013 – 2016* | |
| - Developed and optimized backend systems using Java and PostgreSQL | |
| - Worked on authentication and authorization systems for enterprise clients | |
| - Refactored legacy codebase improving API performance by 30% | |
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| ## 📊 Data Science Projects | |
| - **Customer Churn Prediction** | |
| Logistic regression model trained on real-world telecom dataset; achieved 85% accuracy. Deployed using Flask and Docker. | |
| - **Movie Recommender System** | |
| Collaborative filtering project using Python, Pandas, and Surprise library. | |
| - **EDA on COVID-19 Global Data** | |
| Performed extensive exploratory data analysis and visualized trends using Seaborn and Plotly. | |
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| ## 🧰 Technical Skills | |
| **Languages:** Python, JavaScript (ES6+), Java, SQL, TypeScript | |
| **Frameworks:** React, Node.js, Flask, Express | |
| **Tools & Libraries:** Pandas, NumPy, scikit-learn, TensorFlow, Keras, Matplotlib, Plotly | |
| **Databases:** PostgreSQL, MongoDB, Redis | |
| **Cloud & DevOps:** AWS (EC2, S3, Lambda), Docker, GitHub Actions | |
| **Others:** REST APIs, GraphQL, CI/CD, Agile (Scrum), JIRA | |
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| ## 🌐 Languages | |
| - **English:** Full professional proficiency | |
| - **German:** Native | |
| - **Spanish:** Intermediate | |
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| ## 🏆 Certifications | |
| - IBM Data Science Professional Certificate (2024) | |
| - AWS Certified Developer – Associate (2023) | |
| - Deep Learning Specialization – Andrew Ng (2024) | |
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| ## 🤝 References | |
| Available upon request. |