Nurseit Kamchyev

Machine Learning Engineer at MBANK - Bank Kyrgyzstan
  • Claim this Profile
Contact Information
us****@****om
(386) 825-5501
Location
Kyrgyzstan, KG

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

Credentials

  • AWS Cloud Practitioner Essentials
    Amazon
    Dec, 2022
    - Nov, 2024
  • Machine Learning A-Z™: Hands-On Python & R In Data Science
    Udemy
    Sep, 2019
    - Nov, 2024

Experience

  • MBANK - Bank Kyrgyzstan
    • Kyrgyzstan
    • Banking
    • 100 - 200 Employee
    • Machine Learning Engineer
      • Aug 2022 - Present

      Credit default prediction. - Dealing with an imbalanced-datasets, working on MLflow to track multiple models. - Building ETL workflows in Apache Airflow between Postgres databases. - Setting up Apache Superset to provide analytical dashboards. - Automation of reports with optimization of loading 1000x faster in Clickhouse. Credit default prediction. - Dealing with an imbalanced-datasets, working on MLflow to track multiple models. - Building ETL workflows in Apache Airflow between Postgres databases. - Setting up Apache Superset to provide analytical dashboards. - Automation of reports with optimization of loading 1000x faster in Clickhouse.

  • Umai Group
    • Kyrgyzstan
    • Retail
    • 1 - 100 Employee
    • Data Scientist / Machine Learning Engineer
      • Apr 2021 - Aug 2022

      Retail work experience. This experience includes: - Price proposition using Price Elasticity. Elasticity model in RandomForestRegressor showed great results. Gross Margin calculated in order to figure out possibilities of profit the company will gain. The proposals serve as complementary features to set price for a product. - Churn Prediction and LTV (LifeTime Value). Great package from a statistical field named “lifetimes” has well crafted predictions in order to prevent the possible churn (Churn) and how much each customer has been bringing the value (LTV). The output of the project we know who is going to leave and how valuable for the company. Show less

  • TDSAI
    • Kyrgyzstan
    • IT Services and IT Consulting
    • 1 - 100 Employee
    • Data Scientist
      • Dec 2019 - Feb 2021

      Photo-editing app analysis - Stylum. iOS-based mobile application company requested us provide Exploratory Data Analysis and recommendations of the user experience’s best practices. Retrieving from Google BigQuery database we were able to manage data overloads in our analysis and create insights about general features of the application. Following user action sequences we provided a roadmap of usability of the application and provided recommendations. Photo-editing app analysis - Stylum. iOS-based mobile application company requested us provide Exploratory Data Analysis and recommendations of the user experience’s best practices. Retrieving from Google BigQuery database we were able to manage data overloads in our analysis and create insights about general features of the application. Following user action sequences we provided a roadmap of usability of the application and provided recommendations.

  • Mad Devs LLC
    • United Kingdom
    • IT Services and IT Consulting
    • 1 - 100 Employee
    • Machine Learning Engineer
      • Feb 2019 - Jul 2019

      An Object Counter project. Goal of the project was to count crossing pedestrians and cars in order to determine passability of places. A camera was connected to Raspberry PI and a router as mobile internet sending data to the self-made servers with GPU. Using the YOLOv3 algorithm we processed a huge amount of data and on the back-end (Django) side stored the outputs. An Object Counter project. Goal of the project was to count crossing pedestrians and cars in order to determine passability of places. A camera was connected to Raspberry PI and a router as mobile internet sending data to the self-made servers with GPU. Using the YOLOv3 algorithm we processed a huge amount of data and on the back-end (Django) side stored the outputs.

Education

  • American University of Central Asia (AUCA)
    Master's degree, Business Administration and Management, General
    2017 - 2019
  • The Academy of Public Administration under the President of the Kyrgyz Republic
    Bachelor of Business Administration - BBA, Accounting and audit
    2014 - 2017
  • Bishkek Financial and Economic College
    College, Banking and Financial Support Services
    2011 - 2014

Community

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