Sergey Chernov is a Senior Data Scientist based in Helsinki with 11 years of experience building ML-driven products in AdTech and gaming. He has led development of real-time bidding, CTR/CVR prediction and contextual bandits, and now helps game developers scale audiences and monetization at Unity via Audience Pinpointer. Comfortable from research to production, Sergey blends a strong academic background in algorithms and bioinformatics with hands-on engineering—he’s a Kaggle enthusiast and Golang fan who started his career implementing optimized image-processing math and automation tools at Itseez and Intel. Known for turning complex modeling and engineering constraints into robust bidding and segmentation systems, he brings both product focus and a curiosity for cross-domain applications like high-throughput mass-spectra search.
11 years of coding experience
6 years of employment as a software developer
Bachelor's degree, Applied Mathematics and Computer Science, Bachelor's degree, Applied Mathematics and Computer Science at State University of Nizhni Novgorod named after N.I. Lobachevsky (UNN)
Master's degree, Algorithms & Analysis of bioinformatics data, Master's degree, Algorithms & Analysis of bioinformatics data at St. Petersburg Academic University
Contributions:5 pushes, 1 branch, 4 issues in 1 year 10 months
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