Position: Junior Data Scientist
Category: Data Science
English level: fluent
Years of experience: 2.5


Data Engineer / Mid-Level Data Scientist – Statistics Team Apr 2022 – Present
• Improved ML model prediction of Active Customers for the next fiscal month with 99% recall and
precision.
• Built automation framework from scratch using Python, Selenium WebDriver and PLSQL to create
and update the Type Allocation Code database in Oracle.
• Developed neural network-based time-series forecasting of Active Customers’ numbers in Python
(TensorFlow).
• Deployed Kafka and Kafka connect infrastructure in Docker to stream new records from Oracle to
ClickHouse database that helps to optimize resources and helps to increase data aggregation speed.


The Openwork Partnership United Kingdom
Data Scientist – Marketing Team Jun 2021 – Oct 2021
• Developed Multi-Output ML models for predicting customers with a high likelihood of purchasing
protection products in different income segments.
• Developed a custom framework to operate multiple models with embedded report creation upon
completion that simplifies further ML applications.
• Developed an in-depth visualization approach accompanied by classification or clustering problems.