Joerg Rings
Master Data Scientist
Vancouver, Washington, United States
Summary
👤
Senior🎓
Top SchoolJoerg Rings is a Master Data Scientist with 11 years of experience building robust, production-ready models and leading data science teams at companies like HP and Capital One. He combines deep academic training (PhD-level research) with hands-on engineering—refactoring and improving simulation code such as the EPANET-compatible WNTR package to enhance numerical stability across Python versions. Known for bridging model risk, analytics, and scalable deployment, he has led cross-functional teams from prototyping to audited, enterprise-grade solutions. Based in Vancouver, Washington, he brings a researcher's rigor to practical problems in finance, engineering, and infrastructure. Colleagues value his mix of technical depth, clear risk-aware judgment, and knack for improving maintainability in legacy scientific code.
11 years of coding experience
18 years of employment as a software developer
Doctorate, Doctorate at Karlsruhe Institute of Technology (KIT)Diplom, Diplom at Heidelberg University
English, German
Stackoverflow
1reputation
0reached
2answers
0questions
Github Skills (12)
simulations10
simulation10
python10
numpy9
water9
networkx8
modeling7
awk6
bash6
perl6
sed6
tuples6
Programming languages (7)
Github contributions (5)
USEPA/WNTR
Nov 2016 - Nov 2016
An EPANET compatible python package to simulate and analyze water distribution networks under disaster scenarios.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:10 commits, 5 PRs, 4 comments in 5 days
Contributions summary:Joerg's contributions primarily focused on improving the robustness and maintainability of the `wntr` Python package. They refactored code to be compatible with both Python 2 and 3. Additionally, the user made changes to improve the hydraulic simulation capabilities of the model. These changes included improvements to the handling of numerical results and equations.
pythonordwatermodelingsimulation
jrings/pandas
Apr 2016 - Oct 2016
Contributions:19 pushes, 1 branch in 6 months
manipulationmanipulation-librarydata-analysispythondata
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