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Senior AI Engineer - Kyivstar.Tech
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
- Certified Data Scientist with experience in multiple domains, such as classical data science (classification / regression / clustering), time series and NLP - Possess practical experience of applying CRISP-DM methodology in real life - Teamwork oriented, quickly adapts to changes, communicative, responsible and has a high level of self-organization - Decision-maker; Solution-oriented - Helped students to grow as professionals and valuable team members.
Taras Shevchenko National University of Kyiv
Master's degree, Mathematical Modelling
January 1, 2016 – January 1, 2018
Kyiv National Economics University
Bachelor's degree, International Economics & Management
January 1, 2013 – January 1, 2017
Taras Shevchenko National University of Kyiv
Bachelor of Science - BS, Mathematics Statistics & Probability Theory
January 1, 2012 – January 1, 2016
Kyivstar.Tech
Senior AI Engineer
November 1, 2025 – Present
Rozetka.ua
Senior Data Scientist
July 1, 2023 – October 1, 2025
Kyiv, Ukraine · Hybrid
GlobalLogic
Senior Data Scientist
April 1, 2022 – July 1, 2023
Kyiv, Ukraine
EPAM Systems
Data Analyst
October 1, 2020 – April 1, 2022
Kyiv, Ukraine · Hybrid
Netcracker Technology
Business Analyst
November 1, 2019 – October 1, 2020
Netcracker Technology
Machine Learning Engineer / Data Scientist
September 1, 2017 – October 1, 2020
Netcracker Technology
Junior Software Developer
July 1, 2016 – February 1, 2018
NetCracker
Intern
October 1, 2015 – July 1, 2016
AWS Certified Machine Learning – Specialty
Amazon Web Services (AWS)
June 24, 2026 – Present
Microsoft Certified: Azure Data Scientist Associate
Microsoft
June 24, 2026 – Present
Essential Math for Machine Learning: Python Edition
June 24, 2026 – Present
Mathematics for Machine Learning Specialization
Coursera
June 24, 2026 – Present
Deep Learning Specialization
Coursera
June 24, 2026 – Present
Algorithms. Basics.
Projector Institute
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has worked in various companies (Netcracker, EPAM, GlobalLogic, Rozetka.ua, Kyivstar.Tech) ranging from IT services to e-commerce, indicating adaptability to different organizational cultures and project types. The progression through roles and companies suggests a drive for growth and learning. The breadth of skills and project types (churn prediction, recommendation systems, NLP, LLMs) aligns with a dynamic and innovative environment often found in ML engineering roles. However, the lack of specific project details beyond technical outcomes makes it difficult to fully assess cultural alignment with a specific team or company values.
Soft Skills & Operational Fit
The candidate's career progression from Junior Software Developer to Senior AI Engineer, coupled with diverse project descriptions, suggests strong problem-solving abilities, adaptability, and a results-oriented approach. The descriptions of improving F1 scores and conversion rates indicate a focus on measurable impact. While direct evidence of communication and collaboration soft skills is limited in the provided data, the detailed project descriptions imply effective technical communication.