Summary
Data scientist with 4 years of experience building forecasting and recommendation models in Python. I take models from notebook to production and measure them against business outcomes, not just accuracy scores.
Experience
Data Scientist—Freshcart Delivery · Berlin · 2023 – Present
- Built a demand forecasting model (LightGBM) for 300 products across 12 warehouses, reducing food waste by 18%.
- Shipped a recommendation model that increased basket size by 5% in an A/B test with 200,000 users.
- Set up model monitoring that flags data drift weekly, catching two silent failures before they affected customers.
Junior Data Scientist—Insurely · Hamburg · 2021 – 2023
- Developed a claims-fraud classifier that helped investigators focus on the riskiest 5% of claims.
- Built a churn model and presented the main drivers to the retention team, who redesigned renewal emails as a result.
Education
M.Sc. Data Science—Technical University of Munich · 2021
B.Sc. Mathematics—University of Hamburg · 2019
Skills
Modelling: Regression, Gradient boosting, Time series, Recommendation systems, Experiment design
Tools: Python, SQL, scikit-learn, PyTorch, MLflow, Airflow
Cloud: AWS SageMaker, Docker, BigQuery