Data Scientist with background in Astrophysics
I spent a long time making sense of some of the largest and complex datasets in observational cosmology. Apparently, businesses have the same problem! Humans and galaxies aren't so different after all when you're staring at the data.
📍 Based in Germany
- Passionate about turning data into impact through statistics and machine learning
- Experienced in Python, SQL, Tableau, PowerBI, MS Office
- Skilled in Predictive Analytics, Deep Learning, NLP, Time-Series, Anomaly Detection
- Background in Astrophysics → Data Science, blending scientific rigor with business value
📌 A curated set of my best work (more on my repos):
- Conversion Uplift & A/B Testing Platform → Experimentation dashboard with statistical rigor and business impact
- User Segmentation & App Uninstall Prediction → XGBoost with 97.7% accuracy
- Anomaly Detection in Financial Transactions → Isolation Forest with F1 score: 0.93
- Marketing Channel Performance Analysis → Recommended data-driven reallocation of funds (Datathon competition)
- Stock Price Forecasting & Portfolio Risk → ARIMA + Risk-return analysis
👉 Explore more in my repositories.
Languages:
ML & Data Science:
Data Visualization & BI:
Cloud & DevOps
- 🎓 M.Sc. Astrophysics - University of Bonn
- 🔭 Graduate Researcher - Modeled observational biases of the Euclid Space Telescope
- 🎵 Indian classical music, 🏏 Cricket, 🎮 Gaming, 🏐 Volleyball
⭐ "I believe in building data-driven solutions that don’t just work — but scale, explain, and inspire."