Yuliya Porokhnenko
Data Scientist at G5 Entertainment AB- Claim this Profile
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Русский Native or bilingual proficiency
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Английский Limited working proficiency
Topline Score
Bio
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Credentials
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Microsoft Certified: Azure Data Engineer Associate
MicrosoftMay, 2021- Sep, 2024
Experience
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G5 Entertainment AB
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Sweden
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Entertainment Providers
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300 - 400 Employee
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Data Scientist
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Nov 2022 - Present
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GigAnt
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Netherlands
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Entertainment Providers
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1 - 100 Employee
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Data Scientist
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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
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BELTEL
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Russian Federation
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Information Technology & Services
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1 - 100 Employee
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Data Scientist
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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
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Education
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Оренбургский Государственный Университет (ОГУ)
Специалитет, Компьютерная безопасность