Roman Sorokin

Head of Department at Neoflex
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Contact Information
us****@****om
(386) 825-5501
Location
Greater Buenos Aires, AR

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Anton K.

I had the pleasure of working with Roman at Gazpromneft. Roman was a key developer of the Central Pricing Desk product, aimed at automating and optimizing pricing in the B2B sales. Roman proved himself as a talented developer, a thoughtful data scientist, and an excellent team player. As a result, the team developed a system for selecting the optimal price at the customer level, which brought a significant commercial effect. If you are looking for a Senior/Lead Data Scientist, Roman is the perfect fit for you, I highly recommend him!

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Experience

    • Russian Federation
    • IT Services and IT Consulting
    • 200 - 300 Employee
    • Head of Department
      • Jul 2022 - Present

      Lead a team of 10 data scientists and 5 ml engineers:- Development of employees, setting tasks, organizing the work process.- Prioritization for projects and evaluation of labor costs.- Preparation of presale and commercial offers to clients

    • Team Leader Data Scientist
      • Nov 2021 - Present

      I participate in projects both as a ML researcher/developer and as a project manager. Lead a team of 5data scientists.Created an algorithm for forecasting the gross harvest wheat depending on weather conditions:- Solution based on the decomposition of the time series of the gross wheat harvest into three components:forecast of sown areas (Holt-Winters model), yield trend (linear regression) and yield deviations from thetrend (LightGBM on weather data).- Forecast mean absolute percentage error (mape) is less than 10- Developed cloud service that allows to perform scenario modeling based on the created ML models. Show less

    • Data Scientist
      • Jun 2019 - Nov 2021

      NLP:- Developed of an MVP model to determine the sentiment regarding each organization in thefinancial news. More about research design, data markup and fine-tuning BERT in the article:https://habr.com/ru/company/neoflex/blog/589563/- HR AI: search for suitable candidates for open vacancies; evaluation of employee skills in money.Lifetime Probability of Default modeling:- Scoring model in IFRS9 project (WOE, Logistic Regression, Random Forest, Survival, Transition Matrix,APC etc). Research of new algorithms and approaches.- Reserve optimization. Choosing the best approach to modeling PD.- Early Warning Model for corporate clients. Show less

    • Russian Federation
    • IT Services and IT Consulting
    • 1 - 100 Employee
    • Data Scientis
      • Apr 2019 - Jun 2019

      Treasury department functions optimization and automation for PAO Gazprom: - Liquidity gap forecasting. - Markets risk modeling: simulation of random processes of various types, parameter estimation, Cholesky decomposition. - Short-term liquidity automated. Code optimization in the Human-robot collaboration project of manufacturing process optimize based on machine learning (real-time Advisor for the Rotary Drum Granulator Machine). Treasury department functions optimization and automation for PAO Gazprom: - Liquidity gap forecasting. - Markets risk modeling: simulation of random processes of various types, parameter estimation, Cholesky decomposition. - Short-term liquidity automated. Code optimization in the Human-robot collaboration project of manufacturing process optimize based on machine learning (real-time Advisor for the Rotary Drum Granulator Machine).

    • Russian Federation
    • Oil and Gas
    • 700 & Above Employee
    • Data Scientist (developer)
      • Jun 2018 - Apr 2019

      Creates automatically system of fair pricing for corporate clients: - Provides corporate clients analysis and segmentation. - Creates elasticity model (Dynamic pricing) based on clients behavior and introduction of new pricing methods by the model. Business case-flow solution Creates automatically system of fair pricing for corporate clients: - Provides corporate clients analysis and segmentation. - Creates elasticity model (Dynamic pricing) based on clients behavior and introduction of new pricing methods by the model. Business case-flow solution

    • Retail
    • 1 - 100 Employee
    • аналитик/data scientist
      • May 2017 - Jun 2018

      Forecasting and automation. - Forecasted sales throughout the branch network using machine learning algorithms; - Analyzed key indicators of the company, variables of influence on these indicators and building feedback; - Implemented automation of forecasts and uploaded to the database. Forecasting and automation. - Forecasted sales throughout the branch network using machine learning algorithms; - Analyzed key indicators of the company, variables of influence on these indicators and building feedback; - Implemented automation of forecasts and uploaded to the database.

    • Russian Federation
    • Banking
    • 1 - 100 Employee
    • Intern
      • Oct 2011 - Dec 2011

      - Calculated of VaR for securities portfolio; - Forecasted of macroeconomic indicators; - Wrote analytic reviews. - Calculated of VaR for securities portfolio; - Forecasted of macroeconomic indicators; - Wrote analytic reviews.

Education

  • Санкт-Петербургский Государственный Университет
    Магистр, Прикладная математика
    2013 - 2015
  • Санкт-Петербургский Государственный Университет
    Специалист, Экономика и управление на предприятии
    2008 - 2013
  • Санкт-Петербургский Государственный Университет
    Аспирантура, Математика и механика

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