Data Scientist with a systems engineering background, currently pursuing an MSc in Data Science at Freie Universität Berlin.

I build end-to-end intelligent systems combining data, machine learning, and software engineering to solve real-world problems. My approach is rooted in system thinking, focusing on scalable, production-ready solutions rather than isolated models.

OrderPulse AI End-to-end time series forecasting system for hourly food delivery demand using XGBoost, deployed via API and interactive dashboard. Stack: XGBoost • FastAPI • Streamlit • Pandas Status: In Development

BluePrint Multi-tenant SaaS platform implementing a database-per-tenant architecture for scalable and secure data isolation. Stack: FastAPI • PostgreSQL • Streamlit Status: In Development

Python · SQL · scikit-learn · Deep Learning · FastAPI · Docker · Pandas · Streamlit

• BluePrint —
• OrderPulse AI —
• 12-Month LTV Prediction — Composite ML model for insurance customer lifetime value
• Crop Recommendation API — FastAPI-served Random Forest classifier