Shalva Bagaturiya

Head of Data and Business Analytics Department of the Retail Block at AlfaStrakhovanie
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Contact Information
us****@****om
(386) 825-5501
Location
RU
Languages
  • Английский -

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5.0

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Dilara Izhberdeeva

I had an opportunity to work with Shalva in 2 projects. One of them was initiated and driven by himself. Shalva is one of the most qualified, involved and proactive project sponsor I've ever had. His requirements were specific and detailed to ensure the quality of their implementation. He was ready to interact with each team member when it was needed to explain his vision. He helped project team to go through all project milestones and eliminated barriers on his level of escalation. I can recommend Shalva for every project, which needs to have a player-coach on the project executive position.

Ramilia Lukmanova

I worked in Shalva's team for 4.5 years at BNP Paribas Cardif both in Actuarial and Analytics departments. Shalva is a true leader with exceptional skills in Data Science and Actuarial Science, IT and Project management. During his work at BNP Paribas, Shalva developed many projects both for business and operational efficiency. The scope of the projects was very wide and included development of Machine Learning models for insurance products, project management of DWH transformation, company's database enrichment from external APIs, design of services for company's partners, regular business support, etc. Shalva is a professional with outstanding business and technical skills, who is able to design products and services from scratch. For example, Shalva's team created Theft insurance service for clients including product design, insurance tariffs with Machine learning algorithms, IT development with backend and frontend, and marketing campaigns. Shalva is a true leader who loves challenges and his motivation drives the whole team. Shalva is a very charismatic person with excellent soft skills. His ability to build connections in and out of the company is exceptional. Thanks to that, the Data science department was a key part of the digital transformation of the company. As a boss, Shalva inspires everyone in his team, supports everyone and creates an atmosphere where you have all the opportunities to learn and develop new skills. Moreover, Shalva is eager to help everyone in the company. I am very thankful for these amazing years working with Shalva. He helped me to find my career path, taught me new skills and became a really good friend. I believe any company would be very lucky to have Shalva in the team!

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Credentials

  • Product Management
    General Assembly
    Mar, 2021
    - Oct, 2024
  • Deep Learning specialization
    Coursera
    Jul, 2019
    - Oct, 2024
  • Sequence Models
    Coursera
    Jul, 2019
    - Oct, 2024
  • Convolutional Neural Networks
    Coursera
    Jun, 2019
    - Oct, 2024
  • Structuring Machine Learning Projects
    Coursera
    Feb, 2019
    - Oct, 2024
  • Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
    Coursera
    Dec, 2018
    - Oct, 2024
  • Neural Networks and Deep Learning
    Coursera
    Nov, 2018
    - Oct, 2024
  • Practical data analysis and machine learning
    Высшая Школа Экономики
    Jul, 2018
    - Oct, 2024
  • QlikView developer
    Qlik
    Jul, 2018
    - Oct, 2024
  • QlikView designer
    Qlik
    Jun, 2018
    - Oct, 2024
  • Actuary certification
    Central Bank of the Russian Federation (Bank of Russia)
    Nov, 2015
    - Oct, 2024

Experience

    • Insurance
    • 200 - 300 Employee
    • Head of Data and Business Analytics Department of the Retail Block
      • May 2021 - Present

    • France
    • Insurance
    • 700 & Above Employee
    • Chief analytics officer
      • Jan 2018 - May 2021

      Management of the reporting actuarial and analytics unit, consisting of 2 actuaries and 2 Data Scientists-Report on Russian Accounting Standards and IFRS.- Transition to IFRS 17.-formation of data driven decision-making culture in the company-Creation and management of projects on data management-Creation and introduction into business processes of analytical products based on methods of machine learning and AI-Robotization of processes (RPA)-development of analytical direction- DWH refactoring for analytics and BI (ETL -> BI)- five projects of replication of human experts with machine learning and artificial intelligence 1) propensity model to target sales,2) robotized decision-making for claims settlement, 3) personalized insurance pricing,4) optimization of judicial work in conditions of limited resources,5) computer vision to improve Customer Service Show less

    • Senior Actuary
      • Mar 2015 - Jan 2018

      Common function blocks:- training, evaluation and management of staff. In submission - 2 junior actuaries and 1 junior data analyst- creation and maintenance of "data based" projects- creation and management of analytical projects for the analysis of company data (targeting sales of insurance products, project for the introduction of telematic auto products, loss scoring for automatic settlement)- actuarial support of the portfolio (analysis of loss / frequency / average loss development, reflection of portfolio structure, creation of underwriting risk profile, stochastic modeling of management decisions);- RAS reporting (reserves of RAS and OSBU, forms 8,10,11, 1С, 2С, Information on the activities of the insurer, 1SK). Management of the actuarial direction of transition to the Unified Chart of Accounts;- IFRS reporting (does not include budgeting tasks);- creation of IT tools for automation of routine actuarial tasks (parallel calculations of reserves, forecast of losses and calculation of earned bonuses for future dates in C # language, bonus forecasts and visualization in R / python);- creation of robots for filling the company's database with data from open sources (courts, geocoding, reviews on the Internet, VIN parsers, web scraping of data);- application of Data mining methods to select the "best buyers" class for the telemarketing sales channel. Determination of the probability of failure on loss for the purpose of automation of operational processes; Show less

    • Insurance
    • 1 - 100 Employee
    • Actuary
      • Jul 2014 - Mar 2015

      Compiling a software package in the language of c ++ - the model of the budget of the insurance company. The main purpose of the model is a quarterly forecast of the company's actuarial and financial indicators and cash flows for the next three years, taking into account new business and prolongations. Indicators that are modeled: - held losses on risks, built on the tables of mortality and company's own statistics for three years. - ocr (RCH) - ibnr (rnu) - mathematical reserves along the line "life" - upr (rnp) both on the line "life", and along the line "ns" - investment income - lapses (termination) taking into account the influence of termination on fin. Result - maintance reserve (reserve of long-term policy maintenance costs) - dac - reinsurance and its share in premiums, losses and reserves At the entrance, the model receives a sales plan on a quarterly basis, the output is a financial result of three years under RAS and IFRS. Besides the main purpose, the program complex is a flexible tool of the actuary and financier for evaluating the profitability of products. Show less

    • Leading specialist
      • Jul 2012 - Jul 2014

      Motor pricing (GLM models) Market search, Statistical analysis IT system implementation (pricing procedures with PL SQL + data migration). Motor pricing (GLM models) Market search, Statistical analysis IT system implementation (pricing procedures with PL SQL + data migration).

    • Actuary
      • Jun 2012 - Jul 2012

      Non-life Reserves calculations according to Russian accounting standarts Non-life Reserves calculations according to Russian accounting standarts

Education

  • British institute of actuaries
    Student, Non-life actuary
    2015 - 2019
  • Высшая Школа Экономики
    High School Diploma, Applied machine learning
    2017 - 2018
  • Московский Государственный Технический Университет им. Н.Э. Баумана (МГТУ)
    Specialist, Applied Mathematics
    2006 - 2012
  • Московский Государственный Технический Университет им. Н.Э. Баумана (МГТУ)
    2011 - 2011

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