Passionate about Data Science and Data Engineering, working with Python, Machine Learning, and building scalable data pipelines. 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 insights and practical solutions that create value.
- 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, PostgreSQL, SQLite
- Special Interests: Model training & evaluation, automation, data visualization
- Airflow PostgreSQL ETL-Pipeline (OpenWeather) - Extract data from OpenWeather API, transform & load into PostgreSQL db; orchestrated in Airflow; deployed in Docker
- Face Recognition App (LFW Dataset) – PCA & SVM vs. PCA & Cosine Similarity for face recognition; interactive Streamlit app with evaluation; deployed in Docker
- Telegram Scraper - Collect messages, metadata, and media from chats, groups, and channels; automatic translation and export to CSV an/or JSON
- Feel free to connect with me for opportunities and collaborations