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John Doe

📍 Berlin, Germany
📧 [email protected]
📞 +49 123 456789
🔗 LinkedIn • GitHub

🧠 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.

🎓 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

💼 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%

📊 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.

🧰 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

🌐 Languages

  • English: Full professional proficiency
  • German: Native
  • Spanish: Intermediate

🏆 Certifications

  • IBM Data Science Professional Certificate (2024)
  • AWS Certified Developer – Associate (2023)
  • Deep Learning Specialization – Andrew Ng (2024)

🤝 References

Available upon request.