Paul K
Statistician
Krefeld, North Rhine-Westphalia, Germany
Summary
👤
Senior🎓
Top SchoolPaul K is a statistician with a Ph.D. and a decade of experience applying rigorous quantitative methods to real-world data problems, currently based in Krefeld, Germany. He blends deep theoretical training from Ruhr-Universität Bochum and Technische Universität Dortmund with hands-on analytics engineering tools like Palantir Foundry and dbt to ensure reliable, production-quality pipelines. Known for a strong focus on data quality, he translates complex statistical models into auditable, operational solutions that stakeholders can trust. Paul’s academic record (top marks throughout) signals both intellectual rigor and a talent for clear, precise problem formulation. He brings a researcher’s curiosity to engineering challenges, often bridging statistical theory and practical implementation in analytics teams.
10 years of coding experience
Ph.D., Statistics, Summa Cum Laude, Ph.D., Statistics, Summa Cum Laude at Technische Universität DortmundBachelor of Science (B.Sc.), Mathematics, 0.9 (Excellent), Bachelor of Science (B.Sc.), Mathematics, 0.9 (Excellent) at Ruhr-Universität Bochum
German, English, Russian
Github Skills (23)
geoapify10
spatial-data9
geospatial-analysis8
gis8
geocoding8
spatial-analysis8
geospatial8
geotools8
earth-observation8
openstreetmap7
python-client7
shapefile6
deep-learning6
api6
gdal6
Programming languages (2)
Github contributions (5)
huels-originals/geobatchpy
Sep 2022 - Nov 2022
Python client for Geoapify API
Contributions:8 releases, 7 reviews, 92 commits in 2 months
apipythongeocodinggeoapifyaddress
kinsvater/kinsvater.github.io
Jul 2018 - May 2020
Contributions:11 pushes, 1 branch in 1 year 10 months
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