On my independent data analysis, Data Engineering & AI projects, I build Python ETL and analysis pipelines for structured and semi-structured data, from ingestion through validation. I also develop small ML and analytics prototypes to test their integration into larger pipelines and services.
At Universität zu Köln, I applied statistical methods to complex observational data and developed reproducible analysis workflows and validation procedures. I worked with international, cross-functional teams to turn requirements into technical solutions.
At Universität zu Köln / Max-Planck-Institut für Radioastronomie, I coordinated large, multi-partner astrophysics projects funded by DLR and CRC-956. I built and maintained data-processing pipelines for noisy real-world data, automating calibration, transformation and quality control with Python and Linux.

