Summary
Anton Andreitsev is a Machine Learning Engineer with nine years of experience applying probabilistic modeling and interpretable ML across finance, retail forecasting, and healthcare. He currently works on ranking and personalization at Constructor while lecturing an introductory ML course at Lomonosov MSU and publishing the course materials on GitHub. Previously he led a small data science team at Alfa-Bank building investment propensity, churn, recommendation and profit-forecasting models, and delivered production forecasting and interpretability solutions for KFC and Gazprom. Comfortable bridging research and production, Anton combines rigorous math training (MSU, math & CS) with hands-on delivery—his work includes extracting seasonal and promo components from boosting models and accelerating neural symptom classifiers from 8s to under 1s. Outside of work he mentors students, enjoys sambo and trampoline, and brings a teacher’s mindset to engineering.
9 years of coding experience
5 years of employment as a software developer
Lomonosov Moscow State University