Position: Senior data scientist
Category: Data Science
English level: upper
Years of experience: 5

- As data analyst played major role in evaluation of collection prediction and antifraud  models during its' creation and improvement. Communicated findings and insights through visualizations & reports in order to show system drawbacks and improvements once fixed. Technologies: Jupyter notebook, python, matplotlib, seaborn, bokeh, pandas, numpy, etc.

- As a data scientist crunched collection  prediction  and antifraud  problems  for major ukrainian  bank . Technologies: python, pandas, Random  Forest, Balanced  Rf, Jupyter notebook, power bi etc.
July 2020 - , Senior Data Scientist, FUIB, Kyiv, hybrid (full-time)
Participated/led in number of complex data science end-to-end projects (Tech Lead, Senior DS) and actively contributed 
to building mature processes in a DS team
 from scratch created «antifraud-acquiring» ML system that detects and prevents miscoding activity in FUIB’s 
merchants
 developed ML system that recommends foreign currency exchange rates for Bank’s branches in order to 
maximize profit 
 developed UEBA (User and Entity Behavior Analytic) ML based system for identifying the abnormal behavior 
patterns of users and entities (e.g., hosts, applications, network traffic, and data repositories) within Bank’s 
corporate network
 contributed to DS team processes improvement
 close communication with business and different engineering units
Technologies: Python , Pandas, Polars, scipy(ARIMA, SARIMAX), pyGAM, Panel, FastAPI, Docker,SQL PowerBI
Nov 2019 - July 2020, Middle Data Scientist, FUIB, Kyiv (full-time)
Developed number of «security-based» ML systems
 developed 3 ML-based AML (anti money laundering) systems that help identify suspicious account activity and 
provide better support to the AML team for different customers segments(individual, private & legal entities)
 antifraud (drop prediction) - predict money mule profiles within customer base
 collection scoring ML system - predict customer payments overdue 
Technologies: Python 3, Pandas, Docker,SQL PowerBI
Dec 2017 – Nov 2019, Analyst/BI developer,FUIB, Kyiv (full-time)
 manual identification, analysis, and interpretation of patterns in data
 communication of insights to management and other teams
 automation and optimization reporting
Technologies: Python, PostgreSQL, T-SQL, SQL Server, Power BI
Dec 2011– Dec 2017, Senior data manager,Raif, Kyiv (full-time)
 preparation of regular Division reports (monthly / quarterly / annual)
 preparation of Division reports for Head Office (Vienna) on recovery results
 preparation of management reports/presentations for Head of WO division 
Technologies: Python, PostgreSQL, T-SQL, SQL Server, Power BI, MS Excel, MS PowerPoint