Digital Business & Data Science student in Hamburg focused on Data Analytics, Business Intelligence, AI-assisted analytics, and data products.
I build practical projects that connect business questions with data pipelines, analysis, dashboards, and governed AI workflows. I am currently targeting Werkstudent and internship opportunities in Hamburg / Germany across Data Analytics, BI, Business Analytics, Product Analytics, and AI/Data roles.
Analytics & BI: SQL, Python, pandas, PostgreSQL, MySQL, Power BI, Excel, Statistics, Data Visualization, KPI Analysis, Forecasting
AI & Engineering: FastAPI, Generative AI / LLM workflows, AI agents, Git, GitHub
Business: Business Analysis, Operations Analytics, Data Quality, Root Cause Analysis
End-to-end workforce analytics platform that turns German job-market data into skill-demand, company skill-gap, and workforce intelligence.
- Stack: Python, SQL, PostgreSQL, pandas, Streamlit, Power BI, Gemini API
- Pipeline: API ingestion → cleaning and validation → PostgreSQL → analytics → dashboard → grounded AI insight
- Live app: https://ai-workforce-intelligence-platform-july2026-kvvfa6vrauzrcnulce.streamlit.app/
Active-development analytics product for investigating why a business KPI changed. Deterministic calculations own the numbers; bounded LLM workflows help prioritize investigation while verification controls what the system can claim.
- Stack: Python, FastAPI, Next.js, PostgreSQL, Gemini API, pytest, Playwright
- Engineering proof: 323 backend tests, 23 browser tests, controlled RCA benchmark, CI release gates
- Live app: https://ai-root-cause-investigation-agent.vercel.app
Python and Power BI analysis of 41,176 campaign records, connecting customer segmentation, contact strategy, and conversion performance.
- Verified result: 11.27% overall conversion; student and retired segments converted at more than twice the average
- Campaign pattern: observed conversion declined from 13.04% on the first attempt to 7.50% on the fifth and 4.25% on the eighth
- Deliverable: four-page Power BI decision dashboard with documented data-quality and analytical limits
- Store-Level Demand Forecasting — Prophet reduced MAPE by more than 27% versus the naive baseline using walk-forward validation.
- Supplier Performance Dashboard — Power BI analysis of supplier reliability, lead time, late deliveries, and order-volume KPIs.
- Building reliable analytics systems, not just notebooks
- Turning business problems into measurable analytical workflows
- Business Intelligence and decision-support products
- AI systems where deterministic analysis remains separate from model-generated explanation
- Improving German alongside my studies and professional work in Hamburg
Open to Werkstudent / internship opportunities in Data Analytics, Business Intelligence, Business Analytics, Product Analytics, and AI/Data roles.