
BSc in Computer Engineering and MSc in Artificial Intelligence. Passionate about data science, in particular in basketball and sports
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Assessing your cultural and operational fit
text_classification_ukraine
January 4, 2024 – January 4, 2024
text_classification_ukraine — GitHub repository
View ProjectBig_Data_Mining_Project
December 16, 2023 – January 7, 2024
Big_Data_Mining_Project — GitHub repository
View ProjectNetwork_Analysis
October 24, 2023 – December 28, 2023
Network_Analysis — GitHub repository
View ProjectOlivo_RAPM_Euroleague
September 6, 2023 – September 6, 2023
A Machine Learning project to compute RAPM (Regularized Adjusted Plus Minus) for the last 5 Euroleague seasons.
View ProjectProduct_Recognition
July 27, 2023 – December 6, 2023
Product_Recognition — GitHub repository
View Projecttidytuesday
June 7, 2022 – June 15, 2022
A collection of contributions to the tidytuesday challenge
View ProjectBasketballScrapeR
May 30, 2022 – September 27, 2023
A python scraper for European basketball data in the BigDataBall format
View Projectkoukolon
November 10, 2021 – November 27, 2021
Repository for the Tablut Competition 2021/2022 project.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards personal, self-driven projects, indicating initiative and a passion for learning. The diversity of projects, from sports analytics to text classification and even a competitive programming project ('koukolon'), suggests a broad intellectual curiosity. However, without professional experience or team-based project descriptions, it's difficult to fully assess cultural fit in a collaborative work environment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.