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Alexey Romanenko is a seasoned data scientist with expertise in machine learning, data analysis, and applied mathematics. He has 12+ years of experience in academia and industry, with a strong background in time series forecasting, data mining, and business analysis. Romanenko holds a Master's degree in Applied Mathematics from Moscow Institute of Physics and Technology (MIPT).

Experience

  • Yandex.Market
    • Moscow, Moscow City, Russia
    • Head of Product Analytics
      • May 2022 - Present
      • Moscow, Moscow City, Russia

    • Senior Lecturer
      • Sep 2011 - Present
      • Moscow, Moscow City, Russia

      - Applied Time Series Forecasting Course- Data Analysis in Business: Data Sciense in Supply Chaing- Machine Learning Courses at Algorithms and Proggraming Technology Faculty Department (Department IHT)- Combinatorics, graph theory, mathematical logic, group theory, ring theory, field theory at

  • SAS
    • Moscow, Russian Federation
    • Principal Analytical Consultant
      • Feb 2015 - Apr 2022
      • Moscow, Russian Federation

      - Product Manager of SaaS Demand Forecasting Solution - 10+ project implementation in Retail, CPG areas - real experience with 20+ clients worldwide - mentoring and eneblement of analytical teams and data scientists in EMEA Region - 5 years in development and implementation of Demand Forecasting, Inventory Optimization & Replenishment, Promo Optimizaiton, Price Optimization, Assortment Optimization Systems- 10+ years as Lecturer and Supevisor in MIPT and HSE

  • Svyaznoy
    • Moscow, Russian Federation
    • Senior Analyst in Data Mining and Machine Learning, Department of Information Systems Analysis
      • May 2010 - Feb 2015
      • Moscow, Russian Federation

      Task accomplished: distribution planning: goods distribution system; warehousing analysis: SKU assortment analysis, business processes optimization procurement algorithm research designing of pick and pass systems system warehouse automation staff-motivation system KPI-system of the logistics transport flows optimization algorithms for correct distributing losses in P&L of company algorithms for CRM system building reports for top-management

  • Forecsys
    • Moscow, Vavilova Street, 42
    • Research analyst
      • Jul 2008 - May 2010
      • Moscow, Vavilova Street, 42

      development of algorithms for time series forecasting;energy consumption forecasting;forecasting of goods consumption for retail chain;

Education

  • 2005 - 2011
    Moscow Institute of Physics and Technology (State University) (MIPT)
    master, applied mathematics, data mining

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Industry Focus. “Retail”

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