Andreas Hartl
Senior Data Scientist
Bonn, North Rhine-Westphalia, Germany
Summary
👤
Senior🎓
Top SchoolAndreas Hartl is a Senior Data Scientist with 10 years of experience applying Python, machine learning and statistical methods to time series prediction and mathematical model development, with a strong focus on meteorology and renewable energy forecasting. He moved from academic inverse-problem research (PhD in Atmospheric Physics) through postdoctoral and international research roles into industry R&D, most recently leading data science work at Trianel after a near-decade at UBIMET. His strengths lie in combining optimization and inverse-problem techniques with practical forecasting systems, turning physical insight into robust, operational models for energy markets. Based in Bonn, he brings a rare blend of academic rigor and production-focused engineering that improves forecast skill under real-world constraints.
10 years of coding experience
18 years of employment as a software developer
Doctor. rer. nat., Atmospheric Physics, Inverse Problem Theory, Doctor. rer. nat., Atmospheric Physics, Inverse Problem Theory at Ruprecht-Karls-Universität Heidelberg
Chinese, French, English, German
Github Skills (27)
grid7
operating-system5
firecracker5
threejs4
linux4
infrastructure-management4
automation4
infrastructure3
identity2
stellar2
blockchain2
identity-management1
wallet1
desktop1
substrate1
Programming languages (12)
Github contributions (5)
threefoldfoundation/info_grid
Jun 2018 - Mar 2020
Contributions:74 PRs, 252 pushes, 2 branches in 1 year 9 months
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