Martin Stancsics
Data Scientist
Zurich, Zurich, Switzerland
Summary
👤
Senior🎓
Top SchoolMartin Stancsics is a data scientist with a decade of experience blending econometrics, industrial organization, and NLP to solve research and industry problems. A PhD candidate from the University of Zürich turned QuantCo data scientist, he builds reproducible tooling and has contributed core features to open-source Python packages for statistical modeling. His background includes central bank stress-testing and credit-risk modeling, academic teaching of computational practices, and hands-on engineering to improve GLM tooling used by practitioners. Colleagues know him for an interdisciplinary, tinkerer’s approach—comfortable moving from theory to production—and for lightening technical conversations with a fondness for dogs and dog GIFs.
10 years of coding experience
High School, Advanced mathematics, High School, Advanced mathematics at Zrínyi Miklós GimnáziumExchange semester, Economics, Exchange semester, Economics at University of AmsterdamHeller Farkas College of Advanced Financial StudiesDoctor of Philosophy - PhD, Economics, Doctor of Philosophy - PhD, Economics at University of ZurichMaster's Degree, Economics, Master's Degree, Economics at Central European UniversityBachelor's Degree, Economics (in Economic and Financial Analysis), Bachelor's Degree, Economics (in Economic and Financial Analysis) at Corvinus University of Budapest
Hungarian, English, German
Stackoverflow
390reputation
64kreached
9answers
1question
Github Skills (108)
python10
representations10
tabular10
conda-forge10
sparse10
logit10
poisson10
categorical-data10
conda10
elastic-net10
stata10
visualization10
gamma10
matrix9
latex9
Programming languages (12)
Github contributions (5)
conda-forge/stata_kernel-feedstock
Nov 2020 - Oct 2025
A conda-smithy repository for stata_kernel.
Contributions:1 review, 10 PRs, 9 pushes in 4 years 11 months
conda
stanmart/project-for-pp4rs
Feb 2020 - Aug 2022
Contributions:57 commits, 2 PRs, 4 pushes in 2 years 6 months
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