Yuliya Porokhnenko

Data Scientist at G5 Entertainment AB
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Contact Information
Location
Budva, Montenegro, ME
Languages
  • Русский Native or bilingual proficiency
  • Английский Limited working proficiency

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Credentials

  • Microsoft Certified: Azure Data Engineer Associate
    Microsoft
    May, 2021
    - Sep, 2024

Experience

    • Sweden
    • Entertainment Providers
    • 300 - 400 Employee
    • Data Scientist
      • Nov 2022 - Present
    • Netherlands
    • Entertainment Providers
    • 1 - 100 Employee
    • Data Scientist
      • Jul 2021 - Jul 2022

      I take part in the development of a service for part-time people for retail companies. I developed such part as: • Clustering application users based on their behavior in the system (Python, SQL, K-means, PCA). • System of recommendations for orders for part-time work, solving the problem of a cold start (Python, Catboost, SQL, Airflow, Gitlab). • System for predicting the level of closing of orders for a new client both in new regions and in regions with an existing base of performers (Python, SQL, Dash, Linear Regression, Gitlab). • Web application for the analysis of the current base of clients and performers (Python, SQL, Dash, Docker, Gitlab). • Setting up and maintaining data processing pipelines using Airflow (Python, SQL, Airflow, Docker, Google Cloud, CI/CD, Gitlab). I have been involved in product analytics research and A/B testing design. Show less

    • Russian Federation
    • Information Technology & Services
    • 1 - 100 Employee
    • Data Scientist
      • Feb 2019 - Jul 2021

      I participated in the development of an online service for one of the largest Russian retail chains, represented in 20+ cities. I developed such part as: • Subsystem for forecasting promotions (Python, Flask, Blob storages, Ridge regression, Github). • System for controlling queues in a store based on video analytics (Python, OpenCV, Tensorflow). • Configuration of cloud services (Microsoft Azure). It include solution deployment (CI/CD, Github) and configuring interservice communication. • Web application for forecast monitoring (Python, Flask, Dash, Microsoft Azure, Docker Compose, Nginx, Github). • Telegram bots for timely notification of critical situations, status of the service and status of data transfer (Python, Flask, Docker, Github). I took part in the development of: • Subsystem for demand forecasting with the subsequent formation of the order to the supplier (Python, Catboost, Flask, Microsoft Azure, Blob storages, Github). • Subsystem for monitoring empty grocery shelves based on video analytics (Python, OpenCV, Tensorflow). Show less

Education

  • Оренбургский Государственный Университет (ОГУ)
    Специалитет, Компьютерная безопасность
    2013 - 2019

Community

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