Summary
Matthias Friebel is a data scientist and manager with 11 years of experience who leads the planning analytics team at Germany’s National Centre for Charging Infrastructure, combining domain expertise in geochemistry with practical machine-learning and data-engineering skills. He earned a PhD from ETH Zürich researching cosmochemistry and developed analytical methods for tin isotope analysis, bringing rigorous lab technique and quantitative thinking to data problems. Matthias transitioned from lab R&D and environmental monitoring into applied data science through an immersive data science program, enabling him to bridge experimental provenance, clean data pipelines, and model-driven insights. Based in Berlin, he is comfortable translating complex scientific measurement processes into reproducible Python workflows and operational analytics for infrastructure planning. An understated strength is his ability to manage cross-disciplinary projects where meticulous experimental protocol meets scalable data analysis.
10 years of coding experience
Master of Science - MS, Geological and Earth Sciences/Geosciences, 1.2, Master of Science - MS, Geological and Earth Sciences/Geosciences, 1.2 at Freie Universität Berlin
12 weeks immersive course in Data Science, Data Science, 12 weeks immersive course in Data Science, Data Science at SPICED Academy
Doctor of Philosophy (PhD), Geochemistry, Doctor of Philosophy (PhD), Geochemistry at ETH Zürich