Summary
Alexander Frantsev is a data scientist with 11 years of experience building analytical data-marts, deploying ML models and running A/B tests across banking and retail domains. He has delivered fraud detection rules, customer segmentation and product recommendation models, and led time-series demand forecasting projects using ARIMA/ETS as well as ensemble methods like RandomForest and Gradient Boosting. Comfortable bridging business and engineering, he has a background as a developer (J2ME, .NET) which helps him productionize analytics and integrate services with databases. He has worked internationally on cross-functional teams and run successful marketing experiments that moved models into campaigns. More recently he combined quantitative trading and software development as an independent trader before joining Yandex, reflecting a practical interest in trading systems and real-time decisioning. His training spans applied math, financial economics and managerial economics, giving him a rare mix of statistical rigor and business-oriented delivery.
11 years of coding experience
2 years of employment as a software developer
Business/Managerial Economics, Business/Managerial Economics at Saint Petersburg State University
Master's degree, Financial Economics, Master's degree, Financial Economics at Department of Economics - European University at St. Petersburg
Russian, English, French