Daniel Beiter
Data Scientist
Klein Bennebek, Schleswig-Holstein, Germany
Summary
👤
Senior🎓
Top SchoolDaniel Beiter is a data scientist and hydrology researcher with eight years of experience translating multivariate time series into actionable understanding of physical processes. He applies rigorous data analysis, open-science principles, and custom hardware/software data acquisition to diagnose and improve environmental systems. After a PhD-era research role at GFZ, he now focuses on applied data science at NOW GmbH, bridging academic insight with operational performance gains. His background in water resources engineering (MSc) informs a systems-level approach to model design and mechanism characterization. Comfortable with electronics and open educational resources, he often builds bespoke instrumentation to close gaps between field measurements and computational models. Based in Schleswig-Holstein, he combines hands-on experimental setup with reproducible, community-oriented software practices.
8 years of coding experience
6 years of employment as a software developer
Master of Science - MS, Kulturtechnik und Wasserwirtschaft, Master of Science - MS, Kulturtechnik und Wasserwirtschaft at Universität für Bodenkultur Wien
Github Skills (94)
inversion9
crud9
stepper9
modeling9
geophysics9
teensy9
api8
gui-application8
arduino-library8
react8
earth8
driver8
modeling-tool8
caf8
java8
Programming languages (9)
Github contributions (5)
HackyHour/Potsdam
Dec 2018 - Feb 2019
Weekly HackyHour at Café Freundlich
Contributions:16 commits, 2 PRs, 13 pushes in 2 months
caf
baender/r-novice-gapminder
Feb 2018 - Mar 2019
Introduction to R for non-programmers using gapminder data.
Contributions:2 pushes, 1 branch in 1 year 1 month
r-packagerstatsknitrintroduction-to-rgapminder
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