Andreas Weiden is a Data Engineer based in Cologne with 11 years of experience applying statistical and big-data techniques to solve complex problems. He brings a rare combination of hands-on engineering at skillbyte and deep scientific rigor from a PhD in Elementary Particle Physics at the University of Zurich, where he also taught and mentored students. Proficient in statistical data analysis and large-scale analytics, he has transitioned research-grade data workflows into production environments and contributed as a Java developer early on. Colleagues rely on his methodical approach to data quality, experimental design, and scalable pipeline development. Notably, his background in particle physics gives him particular strength in uncertainty quantification and extracting signal from noisy datasets.
11 years of coding experience
Abitur, Abitur at Gymnasium Lechenich
Doctor of Philosophy (PhD), Doctor of Philosophy (PhD) at University of Zurich
Bachelor’s Degree, Bachelor’s Degree at Ruprecht-Karls-Universität Heidelberg
Contributions:6 commits, 19 pushes, 1 branch in 3 months
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