Resume

Fully-funded Bachelor Degree Scholarship, State University of Trade and Economics

Second place at the ‘Innovation Defence Initiative’ hackathon and a $1,000 grant from the Ministry of Defence of Ukraine with Technical Electronic Medical Band

Started student scientific journal 'Owl Treatise', State University of Trade and Economics

Deputy Head of the Student Council, Department of Information Technologies, State University of Trade and Economics

Ukrainian Tug of War Champion and Captain of University Tug of War Women’s Team

Ranked in the top 5% of students in the second year, State University of Trade and Economics

Ranked 31 in Top 100 University rating, State University of Trade and Economics

State University of Trade and Economics (Kyiv, Ukraine)

BSc (Hons) Computer Science, First Class Honours

Modules Include: Artificial Intelligence (95%), Machine Learning (93%), Cross-Platform Programming (92%), Python Development (95%), Java Technology (97%), Fuzzy Models and Network (90%), Probability Theory and Mathematical Statistics (93%)

Data Engineer / AI, DealEstate.AI Enterprise (Sunny Isles Beach, FL, USA, Remote)

- Analysed patterns in financial documents and developed a machine learning model to automatically extract and populate necessary information into databases, reducing manual data entry by 85%.
- Designed and developed an automated data transmission system, increasing data integration efficiency and achieving data accuracy of over 90%
- Implemented data pipelines to streamline data flow and processing across various systems, utilising ETL technologies
- Leveraged AI techniques, including natural language processing and pattern recognition, to optimize data processing, enhancing the efficiency and reliability of financial data analytics.
- Collaborated with cross-functional teams to integrate financial data insights into business operations, driving informed decision-making.

Machine Learning Engineer, Technical Electronic Medical Band (TEMB) (Kyiv, Ukraine)

The MedTech startup secured the second position at the 'Innovative Defence Initiative' hackathon and received a $1,000 grant from the Ministry of Defence of Ukraine.
My role was:
- Designed and developed a smart token that stores critical medical data
- Analysed data using Pandas, NumPy, Matplotlib, and Seaborn using the range of data availability at different stages of casualty evacuation.
- Identified key medical information indicators and found that the availability of certain critical information increases survival rates by 35%.