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# John Doe
π Berlin, Germany
π§ [email protected]
π +49 123 456789
π [LinkedIn](https://linkedin.com/in/johndoe) β’ [GitHub](https://github.com/johndoe5629)
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## π§ 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. Iβm actively seeking opportunities to leverage my engineering background in the field of data science.
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## π Education
**M.Sc. in Computer Science**
*Technical University of Munich (TUM)* β Munich, Germany
_2011 β 2013_
**B.Sc. in Computer Science**
*University of Stuttgart* β Stuttgart, Germany
_2008 β 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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## πΌ Work Experience
### **Senior Frontend Developer**
**TechWorks GmbH** β Berlin, Germany
*2020 β 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** β Hamburg, Germany
*2016 β 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** β Stuttgart, Germany
*2013 β 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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## π 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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## π§° 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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## π Languages
- **English:** Full professional proficiency
- **German:** Native
- **Spanish:** Intermediate
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## π Certifications
- IBM Data Science Professional Certificate (2024)
- AWS Certified Developer β Associate (2023)
- Deep Learning Specialization β Andrew Ng (2024)
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## π€ References
Available upon request. |