Summary
Alexander Anokhin is a Senior Data Scientist with 11 years of experience, blending rigorous academic training from MIPT (Applied Mathematics and Physics, with honors) with hands-on impact at major Russian tech and finance companies including Wildberries, Alfa-Bank and Tinkoff. A Kaggle Competitions Expert, he combines state-of-the-art modeling and feature engineering with practical production deployment skills honed across retail and banking domains. He has progressed from ML engineering roles to senior data science leadership, delivering robust predictive systems and data-driven product improvements at scale. Based in Moscow, he is comfortable navigating high-throughput data environments and translating complex statistical methods into measurable business value. Colleagues describe him as both technically meticulous and experiment-driven, often surfacing subtle data signals that materially improve model performance.
10 years of coding experience
1 year of employment as a software developer
Bachelor's degree, Applied Mathematics and Physics, 4.92, With Honors, Bachelor's degree, Applied Mathematics and Physics, 4.92, With Honors at Московский Физико-Технический Институт (Государственный Университет) (МФТИ)
Русский, Английский