Jan-Philipp Kolb is a statistician and R specialist with 12 years of experience applying survey methodology, spatial data and machine learning to public-sector statistics. Currently a Referent at Destatis, he has led sampling design, weighting and geo-data integration for large-scale social science surveys at GESIS and contributed to the European Social Survey sampling expert panel. He combines hands-on R programming and data-visualization skills with expertise in linking structured and unstructured data for analysis and modeling. His background in economics (Universität Trier, Erasmus in Lyon) and a track record in teaching survey statistics give him a strong foundation in both theory and practical implementation. Colleagues know him for turning complex sampling problems into transparent, reproducible workflows and for a particular interest in spatial analytics within the R ecosystem.
12 years of coding experience
11 years of employment as a software developer
Diplom-Volkswirt, Wahlfach Statistik, Diplom-Volkswirt, Wahlfach Statistik at Universität Trier
erasmus, Economie, erasmus, Economie at Université Jean Moulin (Lyon III)
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