Leonid E

Data Analyst at Daastar
  • Claim this Profile
Contact Information
us****@****om
(386) 825-5501
Location
Warsaw, Mazowieckie, Poland, PL

Topline Score

Topline score feature will be out soon.

Bio

Generated by
Topline AI

You need to have a working account to view this content.
You need to have a working account to view this content.

Experience

    • Poland
    • IT Services and IT Consulting
    • 1 - 100 Employee
    • Data Analyst
      • May 2021 - Present

      Using CRISP-DM framework to implement data models and roll them to production - Supporting Data Science zone within Data Lake - Developing various machine learning use cases - Creating data models - Visualization of the results - Implementing ML for a procurement system Using CRISP-DM framework to implement data models and roll them to production - Supporting Data Science zone within Data Lake - Developing various machine learning use cases - Creating data models - Visualization of the results - Implementing ML for a procurement system

    • Russian Federation
    • Banking
    • 700 & Above Employee
    • Data Analyst
      • Jun 2020 - May 2021

      Performing data analysis and initial visualization of the retrospective spending - Building up several trends (pessimistic, realistic, optimistic) with current approach - Developing the model which would consider the change of the program rules - Presenting result of the modeling to the board member Performing data analysis and initial visualization of the retrospective spending - Building up several trends (pessimistic, realistic, optimistic) with current approach - Developing the model which would consider the change of the program rules - Presenting result of the modeling to the board member

    • Ireland
    • Computer Games
    • 700 & Above Employee
    • Data Analyst
      • Feb 2019 - Jun 2020

      - Evaluate the user LTV, ARPPU, Churn probability and other metric - Conducting analysis and visualisation of the result in Tableau - Calculate ROI of the user - Build tool to prioritize user’s support tickets - Evaluate the user LTV, ARPPU, Churn probability and other metric - Conducting analysis and visualisation of the result in Tableau - Calculate ROI of the user - Build tool to prioritize user’s support tickets

Community

You need to have a working account to view this content. Click here to join now