# 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.