Summary
Stephan Porz is a data scientist and physicist with 12 years of experience building reliable, privacy-aware data platforms and analytics at scale from Cologne, Germany. At eyeo he led long-running efforts to make reporting pipelines audit-ready and cost-efficient, diagnose tricky data anomalies, and migrate on-premise systems to low-maintenance cloud pipelines. He brings a strong research background from the University of Bonn where he developed time-series and statistical methods for brain dynamics, optimized high-performance code, and mentored students. Stephan blends rigorous scientific thinking with pragmatic engineering: he designs privacy-preserving algorithms (including differential-privacy approaches and on-client metrics) that balance user choice, business impact, and sustainability. Known for clear cross-functional communication and process leadership, he empowers teams through documentation, self-service tooling, and collaborative troubleshooting. A detail-oriented problem solver, he favors reproducibility and fail-safe designs that anticipate how complex systems can go wrong.
12 years of coding experience
2 years of employment as a software developer
A-Levels, physics, mathematics, A-Levels, physics, mathematics at Megina Gymnasium Mayen
Diploma, Physics, very good, Diploma, Physics, very good at The University of Bonn
German, English