I'm a Data Science Master's student at Technische Universität Hamburg, with a thesis on heterogeneous data fusion for power grid transformation analysis — integrating 5.7M+ renewable energy installations with multi-TB weather datasets to model generation uncertainty across Germany's transmission zones.

I bring 2+ years of hands-on experience building ML-powered systems and data pipelines in production, including forecasting and dynamic pricing models at TUI Cruises. I combine strong data science fundamentals with practical engineering skills in Python, SQL, and MLOps. Comfortable working in German-language professional environments (B2).

Python, SQL, JavaScript

scikit-learn, PyTorch, TensorFlow, Keras, LlamaIndex, Hugging Face, CrewAI, Ollama

NumPy, Pandas, xarray, SciPy, DuckDB, Polars, Parquet, Apache Airflow, dbt, Streamlit, FastAPI, Plotly, Matplotlib

Azure ML, MLflow, Docker, Git, CI/CD, Power BI, Pytest, Pydantic, Poetry

ReactJS, HTML, CSS, WordPress, Shopify

Revenue Management, Renewable Energy

M.Sc. Data Science — Technische Universität Hamburg (2023 – Present)

• Coursework: Machine Learning, Deep Learning, Big Data Analytics, Statistical Learning, Data Engineering
• Thesis: Heterogeneous Data Fusion for Power Grid Transformation Analysis

B.Tech Computer Engineering — Charotar University of Science and Technology (2019 – 2023)

• 🥈 Runner-up, Smart India Hackathon 2023 — Developed a Project Sharing & Collaboration portal (ReactJS, NodeJS, Solidity); recognised at national level out of 10,000+ teams.
• 🌍 International Conference, University of Cambridge — Presented research on automating irrigation systems via real-time soil quality detection, focused on Sustainable Development Goals.

German – Intermediate (B2)  ·  English – Fluent (C1)  ·  Hindi – Fluent  ·  Gujarati – Mother Tongue

• 📧 Email: hetparekh16@gmail.com
• 💼 LinkedIn: linkedin.com/in/het-parekh
• 🐙 GitHub: github.com/hetparekh16

Looking forward to collaborating on exciting projects!