Tomas Šostak

Manager Of Data Science & Analytics

Vilnius, Vilnius County, Lithuania
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Summary

👤
Senior
🎓
Top School
Tomas Šostak is a data science leader with a decade of experience building production ML and analytics systems across fintech, e-commerce and IoT. Currently Manager of Data Science & Analytics at Vinted Go and Senior Team Lead at Turing College, he combines hands-on engineering (Python, PySpark, Kafka, AWS) with product-minded experimentation to drive data-informed decisions. His background ranges from forecasting company defaults and open-sourcing a data-quality monitoring system at ING to designing active-learning NLP pipelines during an industrial thesis at Philips. A former full‑stack co‑founder, Tomas brings pragmatic software practices (CI/CD, Docker, ETL) to ML teams and a knack for turning messy, large-scale data into reliable monitoring and features. Based in Vilnius, he quietly blends academic rigor from Eindhoven with entrepreneurial grit, favoring impactful, production-ready solutions over academic novelty.
code10 years of coding experience
job14 years of employment as a software developer
bookMaster of Science - MS Data Science, Master of Science - MS Data Science at Eindhoven University of Technology
bookMaster's degree Data Science, Master's degree Data Science at EIT Digital Alumni
bookHigh School, High School at Vilnius Vytautas Magnus gymnasium
bookMaster of Science - MS Data Science, Master of Science - MS Data Science at Universidad Politécnica de Madrid
languagesEnglish, Dutch, Russian, Lithuanian, Polish, Spanish
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Github Skills (43)

jupyter10
ipython10
statistical-tests10
monitor9
pandas9
spark9
monitoring9
python9
pandas-dataframe9
pyspark9
statistics9
data-profiling9
stability9
data-analysis8
industrial-automation8

Programming languages (4)

SwiftJupyter NotebookErlangPython

Github contributions (5)

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tomcis/fast-python

Jun 2020 - Oct 2020

Contributions:32 commits, 43 pushes, 1 branch in 3 months
Contributions:14 commits, 22 pushes in 21 days
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Tomas Šostak - Manager Of Data Science & Analytics