Konstantin Mychelkin

Konstantin Mychelkin

Founder

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location of Konstantin MychelkinMoskou, Moskou, Russische Federatie

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  • Timeline

  • About me

    DS @ Samolet

  • Education

    • Высшая Школа Экономики

      2014 - 2019
      Бакалавр Economics
    • University of London

      -
      Bachelor of Science - BS Banking Finance
  • Experience

    • Шустрый Заяц

      Apr 2017 - Aug 2018
      Founder

      Courrier Service

    • FirstFlower

      Jun 2017 - Apr 2019
      Manager

      Flower Delivery Service

    • Sberbank

      Mar 2020 - Feb 2022
      Validation Specialist

      • performed the funnel analysis on mortgage and credit cards products using SQL and Python to estimate models’ and risk-strategies’ cut-off • during validation of code found errors in credit potential risk-strategy and estimated model risk of ₽12 billion • validated data quality of IRB models, graph models on transactions, collection models to check models’ performance in production• depicted models’ dataflow in automated systems using Visio

    • СБЕР

      Feb 2022 - Nov 2022
      Middle Validation Specialist

      • development and maintenance of the model risk package that simulates business processes, in which ML algorithms are implemented, and estimates the effect of their implementation in NPV terms• increased code efficiency of the model risk package via multiprocessing by 4 times• integration and maintenance between the model risk package and SberDS platform that allows to automatically monitor ML models’ quality metrics and effects in NPV terms

    • Группа САМОЛЕТ

      Nov 2022 - now
      Data Scientist

      • Implemented Causal ML algorithms to analyze the price elasticity of demand for available apartments, providing key insights for pricing strategies and marketing campaigns• Developed and applied predictive models to forecast the achievement of end-of-plan targets, empowering sales teams to optimally adjust their selling pace.• Implemented a compact image recommendation system, selecting images based on the tagged room characteristics chosen by the client, optimizing for the best F-score. Show less

  • Licenses & Certifications

    • Математика и Python для анализа данных

      Coursera
      Jul 2019