Sergey Popov
Summary
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SeniorSergey Popov is a data scientist and machine learning engineer with 9 years of hands-on experience building recommendation systems and production ML pipelines at scale across companies like Yandex, Дзен, Teza Technologies, Ozon Tech, and currently Avito. With a strong applied mathematics background from Saint Petersburg State University and training at Yandex School of Data Analysis, he blends rigorous quantitative thinking with pragmatic engineering, shipping features that grew a new recommendation format to 2M DAU. Sergey has a track record of driving measurable product impact—boosting CTR and likes by double digits, improving diversity via cross-platform signals, and running 50+ A/B tests to validate decisions. Technically versatile in Python, Java, C++, SQL and tools such as ClickHouse, CatBoost, Spark, Kafka and Docker, he thrives at the intersection of model development, feature engineering, and productionization. Colleagues value his user-centered approach and ability to translate research into production systems that move engagement metrics.
10 years of coding experience
Github Skills (7)
scala7
kotlin5
dao5
sql4
orm3
fintech1
spark1
Programming languages (2)
Github contributions (5)
sergeypopov83/Scala-complete-course
Aug 2017 - Dec 2018
Full scala 1.5 year scala course
Contributions:54 commits, 15 PRs, 39 pushes in 1 year 4 months
scala
sergeypopov83/scala-school
Jul 2016 - Apr 2017
scala courses for Fintech
Contributions:4 commits, 3 PRs, 22 pushes in 9 months
scala
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