Pavlo Pyvovar

Junior Machine Learning Engineer at Pipedrive

Tartu, Estonia
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Summary

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Senior
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Top School
Pavlo Pyvovar is a Junior Machine Learning Engineer based in Tartu with eight years of software experience and a strong academic foundation (MSc Computer Science, University of Tartu, 4.61/5). He has built production-ready ML and data pipelines at Pipedrive and GlobalLogic and developed a Graph Neural Network for city road speed prediction during a data science internship at Bolt that formed the core of his A-graded Master's thesis. Comfortable across Python, NumPy/Pandas, SQL, Docker and ML deployment, he blends research-minded curiosity with practical engineering—self-taught through topics like GNNs and churn prediction systems. Beyond code, he channels his interest in wellbeing and community-building into leadership and communication, believing collaborative teams make better technical products.
code8 years of coding experience
job3 years of employment as a software developer
bookMaster's degree, Computer Science, 4.61 / 5, Master's degree, Computer Science, 4.61 / 5 at University of Tartu
bookIgor Sikorsky Kyiv Polytechnic Institute
languagesEnglish, Ukrainian, Russian
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Programming languages (2)

DockerfileJupyter Notebook

Github contributions (5)

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Pavel-Pyvovar/cvpr2020

Sep 2020 - Oct 2020

Contributions:10 commits, 3 pushes, 3 branches in 1 month
Pavel-Pyvovar/iasa-repo

Mar 2018 - Feb 2019

Contributions:2 PRs, 3 pushes, 4 branches in 11 months
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Pavlo Pyvovar - Junior Machine Learning Engineer at Pipedrive