About
I'm a Berlin-based data analyst focused on energy and renewables analytics, operational reporting, and decision-support workflows.
My background includes SQL-first analytics, KPI reporting, Power BI dashboarding, Python ETL, geospatial data work, and practical data-quality validation. I've worked on end-to-end reporting stacks that connect raw operational data to decision-making, including energy KPI monitoring, geospatial and weather-linked analysis, and reproducible reporting workflows.
What I enjoy most is taking problems end-to-end: clarifying metrics, defining assumptions, checking data quality, and building outputs that remain understandable and useful over time.
Current direction
My current direction is toward a stronger combination of:
- energy and renewables analytics
- forecasting-oriented analysis
- data engineering for analytical systems
- AI-assisted automation for analytics and decision support
Geospatial analytics remains one of my stronger differentiating skills, especially when location, infrastructure, and environmental signals matter.
Core toolkit
- SQL (PostgreSQL, DuckDB, BigQuery, Trino/Athena)
- Power BI (DAX, Power Query)
- Python
- ETL / ELT
- PostGIS / QGIS
- Excel
- Metabase
Currently exploring
- Forecasting systems
- Production-grade data workflows
- AI-assisted analytics automation
- Decision-support tooling for energy and infrastructure contexts