Владимир
Summary
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SeniorVladimir Kukushkin is a data scientist and educator with over a decade of experience turning ambiguous product questions into research-backed improvements, from user-behavior audits to production ML for churn and LTV. He has led analytics teams and open-source work (notably large contributions to the Retentioneering library), built ETL and dbt/Databricks pipelines, and deployed LLM-based components and classifiers in production. His background spans industry leaders and startups—Yandex, Huawei, Perplexity, and Simple App—where he combined causal inference, A/B testing, and storytelling to influence product and OKRs. As a lecturer and mentor he translates deep technical topics (embeddings, ML pipelines) into teachable form, and his investigations have uncovered subtle experiment and ranking biases in real products. Based in Belgrade, he pairs rigorous academic training in numerical analysis and mathematical modeling with hands-on engineering to deliver actionable insights.
9 years of coding experienceGithub contributions (5)
vovakms/StatementsMNS
Dec 2017 - Sep 2020
Contributions:4 pushes, 1 branch in 2 years 9 months
vovakms/ParserVipNet
Jul 2018 - Oct 2020
Contributions:8 pushes, 1 branch in 2 years 3 months
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