Alexey Konstantinov

Lead Data Scientist at RESO-Garantia
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Contact Information
us****@****om
(386) 825-5501
Location
United Kingdom, UK
Languages
  • Russian Native or bilingual proficiency
  • English Professional working proficiency

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Experience

    • Russian Federation
    • Insurance
    • 100 - 200 Employee
    • Lead Data Scientist
      • Apr 2022 - Present

      * Formed a team from scratch in a collaboration with HR team. * Developed an annual training plan for junior employees resulting in a highly skilled team that achieved excellent results and passed the assessment. * Designed the architecture of the development environment. This includes security, backup, and efficient use of servers. * Reduced company risks. * Reduced development time by 30%. * Reduced the required equipment by 2 times. * Deployed real-time machine learning models using Fast API and Docker, following MLops best practices. Maintained (and resolved) web-service disruptions below three minutes for five services over three years, delivering reliable and accessible real-time services. Show less

    • Data Scientist
      • Jun 2020 - Apr 2022

      Developed machine learning models and implemented them: * Utilized statistical analysis and regression models to perform risk analysis, forecasting, define insurance rates, and conduct customer segmentation, retention, and churn prediction. Conducted risk modeling using big data (up to 300M rows) and personalization techniques. * Conducted experiments in dynamic pricing through classification and modeling, allowing the business to make data-driven decisions on pricing changes. * Fraud detection using NetworkX graph algorithms. Introduced a system of rules to improve data quality and increase sales. * Developed natural language processing (NLP) models in medical industry * Сomputer vision techniques for photo recognition to support one of the company's key business processes, while constantly experimenting to improve the system's performance metrics. Show less

    • People Analytics Manager
      • Apr 2018 - Jul 2019

      Implemented Data Science methods to optimize business processes and improve staff productivity, resulting in enhanced customer experience and satisfaction: * Implemented survival analysis of employees at different stages of the lifecycle using cohort analysis. * Generated clear and measurable signals for managing a staff of 200.000 employees in terms of mass recruitment, adaptation, and motivation. * Formed a profile of the ideal candidate to reduce staff turnover. Regression + cohort analysis + time series clustering. Timely filing of the company with the right people, along with other activities, led to a decrease in staff turnover by ~10% (kept 20.000 staff members per year). * Implemented an algorithm for predicting KPI indicators using time series analysis methods (Python, Prophet). This resulted in timely decisions being made to achieve KPIs with minimal resources. * Trained new employees, distributed tasks, controlled the quality and timing of work. The minimum amount of staff performed the assigned tasks efficiently. Show less

    • Data Scientist (people analytics)
      • May 2017 - Apr 2018

      * Developed and implemented HR reporting system and BI tools (Tableau) using ML for managing the business and improving data quality. * Utilized data visualization to identify issues and provide recommendations for action. * Conducted research and developed lifecycle solutions using datasets for business planning.

    • Lead Business Analyst
      • Oct 2012 - May 2017

      1) Designed and implemented an analytical system for the wholesale electricity market, which is used by approximately 30% of Russian power generation. As a result of the successful implementation, I was promoted to Deputy Head of the service with 5 team members. * Utilized extensive business expertise in the energy sector to determine the product development strategy and goals, resulting in the creation of one of the most successful analytical systems in the electricity market. * Developed and tested reporting forms by analyzing business needs and incorporating business logic using statistical modeling. * Managed product and architecture implementation stages using PMBOK principles. * Laid the principles of system performance and reliability. Before the start of the day, more than 150 daily reports were automatically downloaded and parsed into the database, even in cases of initial download failures. * Laid down the principles of automatic data quality checks and automatic correction of errors found. * Provided interaction between development teams, departments of the business customer and information security. * Evaluated the effectiveness of the product. Proposed and implemented improvements. * Managed the budget and resources for the implementation of the analytical system. * Trained and developed the product team. 2) Led project for company's work in System Services Market (emergency power outage compensation). Organized certification, data transfer, and interaction with power system dispatchers and wholesale electricity market administrators. Increased company revenue by €3 million annually. Show less

Education

  • OTUS Онлайн-образование
    Machine learning. Advanced
    2022 - 2022
  • Netology.ru
    One year Data science program
    2019 - 2020
  • South Ural State University (SUSU)
    Master of Degree, Economics
    2005 - 2009
  • South Ural State University (SUSU)
    Master of Degree, Power System Manager
    2002 - 2007

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