Kyrylo Medianovskyi
Data Scientist
Tartu, Estonia
Summary
👤
Senior🎓
Top SchoolKyrylo Medianovskyi is a Data Scientist at Swedbank with a decade of experience applying interpretable machine learning, uncertainty estimation, and causal inference to credit risk and AML model QA. He builds IRB validation software and production-ready tooling using Python (Spark, EconML, polars, MLflow), SAS, and Teradata SQL, bringing a strong mix of research-grade methods and production engineering. His background includes web visualization and IoT-focused research at the University of Tartu, where he improved event-detection F1 and automated NN fine-tuning to cut computation time by 25%. Comfortable across statsmodels and plotting stacks as well as React frontends, he bridges model interpretability with auditable delivery in regulated finance. A dual-degree applied mathematics and computer science graduate, he combines rigorous quantitative foundations with practical system-building for high-stakes ML.
10 years of coding experience
2 years of employment as a software developer
Master's degree, Computer Science, GPA 4.57, Master's degree, Computer Science, GPA 4.57 at University of TartuIgor Sikorsky Kyiv Polytechnic Institute
Github Skills (1)
python-bindings7
Programming languages (1)
Github contributions (5)
Ofrogue/Dependency-Parsing-Dozat
Jun 2019 - Jul 2020
Contributions:5 commits, 4 pushes, 1 branch in 1 year 1 month
Ofrogue/spyre
May 2016 - Mar 2019
Contributions:3 pushes, 1 branch in 2 years 10 months
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