Quirin Stier - Data Scientist

Quirin Stier

Data Scientist

Offenbach am Main, Hesse, Germany

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Summary

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Senior

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Top School

Quirin Stier is a data scientist with eight years of experience who blends academic rigor—currently pursuing a Doctor of Science at Marburg University—with hands-on industry work delivering interpretable AI and advanced forecasting systems. He has developed novel algorithms including emergent self-organizing swarm intelligence for pattern classification and XAI solutions for medical decision support, and has applied time-series forecasting in corporate IoT and financial investment contexts. At IAP-GmbH and VR Smart Finanz he translated research into deployable analytics, interactive apps, and strategic AI consulting, while tutoring courses in knowledge discovery and temporal data mining. Comfortable bridging theory and production, he often focuses on weak Nash equilibria and interpretable models that make complex systems auditable and actionable.

8 years of coding experience

5 years of employment as a software developer

Doctor of Science, Data Science, Doctor of Science, Data Science at Marburg University

Master of Science, Data Science, Master of Science, Data Science at Aalto University

Bachelor's degree, Mathematics and Computer Science, Bachelor's degree, Mathematics and Computer Science at FAU Erlangen-Nürnberg

Github Skills (16)

dm6

meteorology5

deep-learning3

time-series3

machine-learning3

forecasting3

two-dimensional2

python1

data-visualization1

visualization1

visualizations1

gpu1

science1

data-science1

opencl1

Programming languages (2)

RPython

Github contributions (5)

Quirinms/MRFPY

Jun 2020 - Sep 2021

Multi Resolution Forecasting

Contributions:45 commits, 2 PRs, 38 pushes in 1 year 3 months

forecastingmeteorologydeep-learningresolutionmachine-learning

Quirinms/Quirinms.github.io

Feb 2021 - Mar 2021

Contributions:285 pushes, 3 branches in 7 days

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