Summary
Stas Romanikhin is a Lead Data Scientist with nine years of experience building and operationalizing ML systems across retail, banking and tech companies, currently based in Dubai. He combines a strong applied mathematics background with hands-on expertise in demand and promo forecasting, pricing, inventory automation and recommendation systems, having led cross-functional teams at Samokat.tech, Lenta, Modulbank and SeverX. Stas has repeatedly turned forecasting and uplift models into production services, and he also built company-wide platforms for A/B testing and data warehousing as a former Chief Data Officer. Comfortable with Python, SQL and C++, he pairs technical depth in time series, NLP and optimization with people and project management skills. An early researcher with published work in computational physics, he brings a quantitative researcher's rigor to pragmatic business problems, often translating academic techniques into scalable ML products.
9 years of coding experience
6 years of employment as a software developer
Master's degree Applied Mathematics, Master's degree Applied Mathematics at National Research Nuclear University MEPhI (Moscow Engineering Physics Institute)
English