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sergejlembke/README.md

👋 Hi, I'm Sergej Lembke

Junior Data Scientist & Engineer | Part-time M.Sc. Applied Artificial Intelligence (in progress)

I am passionate about Data Science and Data Engineering and actively seeking full-time roles where I can apply my skills in Python, Machine Learning, and building scalable data pipelines. With a background in B.Sc. Energy & Process Engineering, hands-on experience from a Data Science Bootcamp, and ongoing training in advanced AI and data-driven techniques through my M.Sc. Applied Artificial Intelligence, I enjoy turning complex datasets into actionable insights and practical solutions that create value for organizations.


🔧 Tech Stack

  • Languages & Tools: Python, SQL, Apache Airflow, Tableau, Git, Docker
  • Data Science & ML: scikit-learn, pandas, NumPy, SciPy, BeautifulSoup, Streamlit, Seaborn
  • Data Engineering: ETL processes, MySQL, SQLite
  • Special Interests: Model training & evaluation, automation, data visualization

📂 Featured Projects

  • Face Recognition App (LFW Dataset) – PCA & SVM vs. PCA & Cosine Similarity for face recognition; interactive Streamlit app with evaluation
  • Telegram Scraper - Collect messages, metadata, and media from chats, groups, and channels; automatic translation and export to CSV an/or JSON

📫 Connect with me

  • Feel free to connect with me on GitHub or LinkedIn for opportunities and collaborations
  • LinkedIn: Sergej Lembke

Popular repositories Loading

  1. sergejlembke sergejlembke Public

    Config files for my GitHub profile.

  2. streamlit-face-recognition-app streamlit-face-recognition-app Public

    Face recognition project from Data Science Bootcamp to implement, compare and deploy different approaches for face recognition using an interactive Streamlit app, providing a hands-on demonstration…

    Jupyter Notebook

  3. telegram-scraper telegram-scraper Public

    A Python-based Telegram scraper using Telethon to collect messages, metadata, and media from chats, groups, and channels. Includes automatic translation (via deep_translator) and export to CSV and/…

    Python