FrantsTech

Alexander Frantsev

Senior Data Scientist · Moscow, Russia

I own ML products end-to-end — from architecture and modeling to production, monitoring and business impact. Fintech, big tech and retail background with a strong academic foundation in mathematics and economics.

Data Science & Analytics
5+ years
Software Engineering
5 years
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Alexander Frantsev — Senior Data Scientist, portrait 1Alexander Frantsev — Senior Data Scientist, portrait 2

Skills

ML / DS

  • Python (PyTorch, scikit-learn, pandas, LightGBM, Optuna)
  • Forecasting
  • NLP
  • LLM integration
  • A/B testing

Data & Engineering

  • SQL (PostgreSQL, ClickHouse, YQL)
  • YTsaurus
  • Workflow orchestration
  • FastAPI
  • Docker
  • Git
  • Linux

Languages

  • English — advanced
  • Russian — native

Education

  • MA in Economics

    2015–2017

    European University at St. Petersburg, Dept. of Economics

    Full Fee Waiver Scholarship

  • Specialist in Mathematics & Computer Science

    2008–2014

    St. Petersburg State University, Dept. of Applied Mathematics

Interests

  • Analytics and Machine Learning
  • Global macroeconomics and stock trading
  • Smart home automation (Home Assistant)
  • AI art and photo editing with neural networks

Honors & Awards

  • 2013CRDF grant for product extension
  • 2015Full Fee Waiver Scholarship, European University at St. Petersburg

Experience

  1. Yandex — FinTech, Payment Analytics

    2024–2026

    Analyst-Developer (Data Scientist)

    • Owned the payment incident prediction system for Yandex Bank (100k+ DAU) end-to-end; prevents faulty transaction traffic estimated at ~700M RUB/year
    • Re-architected the anomaly predictor (Python, Arcadia, Nirvana, YTsaurus): from a fragile single-maintainer setup to a testable, versioned product with CI and monitoring
    • Cut scoring-to-alert time from ~30 to ~15 min; recall on conversion incidents raised to ~90% via a backtesting framework
    • Introduced ML and LLMs into production: LLM-based validation of error-code mappings with human-in-the-loop review
    • Built a Sankey dashboard for cascading payments — managers resolve payment cases without analysts

  2. Independent Projects & Trading

    2022–2024

    Founder / Trader

    • ML startup: sports outcome prediction — feature pipeline + LightGBM tuned with Optuna; first production model delivered +3% margin
    • Personalized news service: Telegram/RSS/web aggregation with LLM summarization and relevance ranking
    • Smart home automation platform on Raspberry Pi / Home Assistant
    • Independent securities trading

  3. SAS Institute — CI & Retail Department

    2017–2022

    Analytics Consultant / Data Scientist

    • ML implementation, analytical data marts, A/B testing and business consulting for big tech companies (Sber, X5, McDonald's, Mondelez)
    • Banking, Internal Fraud: fraud detection rules aligned with the bank's business processes
    • Retail, Promo Optimization: sales analysis, product segmentation, elasticity estimation
    • Retail, Demand Forecasting: time-series models (ARIMA, ETS) and ML ensembles (RandomForest, GradientBoosting) at scale
    • Banking, Customer Intelligence: segmentation, NLP categorization of payment descriptions, propensity-to-buy models

  4. UbiqMobile / SPSU R&D startup

    2010–2015

    Software Engineer

    • Core backend services in .NET for a mobile services platform; Java client on a custom protocol optimized for low-bandwidth connections
    • R&D project awarded a Microsoft Seed Fund grant; grew into UbiqMobile, an innovation platform for mobile services

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