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ROSTYSLAV HUNDAREV
[open contact info ](look above in the "contact info" section) ⋄ Kyiv, Ukraine
[open contact info ](look above in the "contact info" section) ⋄ github.com/heereenveen
SUMMARY
Analytical and detail-oriented Computer Science student with a strong passion for football analytics and data
processing. Experienced in analyzing sports video data, tracking player movements, and working with structured
datasets. Proficient in computer tools and methodologies for data logging, annotation, and analysis. Highly disciplined
with excellent focus during long analytical sessions.
EDUCATION
Bachelor of Computer Science, Expected 2026
Igor Sikorsky Kyiv Polytechnic Institute (KPI)
SKILLS
Domain Knowledge Football Analytics, Tactical Event Tracking, Video Analysis, Data Tagging
Data Analysis Data Processing (Pandas, NumPy), Visualization (Matplotlib, Seaborn)
Software & Tools Python, SQL, Jupyter Notebook, Git, Docker, Telegram, MS Office / Google
Docs
Soft Skills Attention to Detail, High Focus, Discipline, Adaptability, Self-Reflection
PROJECTS
Player Recognition & Tactical Analysis on Football Field. (GitHub)
Focused on processing real-time football match video streams to track players and analyze positioning. Developed
an understanding of visual feature extraction, frame-by-frame event analysis, and game dynamics.
• Key Focus: Football rules, player tracking, computer vision-assisted video analysis, data annotation.
Bank Marketing Data Analysis. (GitHub)
Performed end-to-end data processing, feature scaling, and statistical evaluation. Identified key patterns and valida-
tion factors in structured datasets.
• Key Focus: Data cleaning, structured data logging, metrics calculation, univariate/multivariate analysis.
UniBERT — Student Support System. (GitHub)
Developed an automated question-answering system trained on domain-specific text resources.
LANGUAGES
Ukrainian Native
English B1
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SUMMARY
Analytical and detail-oriented Computer Science student with a strong passion for football analytics and data
processing. Experienced in analyzing sports video data, tracking player movements, and working with structured
datasets. Proficient in computer tools and methodologies for data logging, annotation, and analysis. Highly disciplined
with excellent focus during long analytical sessions.
EDUCATION
Bachelor of Computer Science, Expected 2026
Igor Sikorsky Kyiv Polytechnic Institute (KPI)
SKILLS
Domain Knowledge Football Analytics, Tactical Event Tracking, Video Analysis, Data Tagging
Data Analysis Data Processing (Pandas, NumPy), Visualization (Matplotlib, Seaborn)
Software & Tools Python, SQL, Jupyter Notebook, Git, Docker, Telegram, MS Office / Google
Docs
Soft Skills Attention to Detail, High Focus, Discipline, Adaptability, Self-Reflection
PROJECTS
Player Recognition & Tactical Analysis on Football Field. (GitHub)
Focused on processing real-time football match video streams to track players and analyze positioning. Developed
an understanding of visual feature extraction, frame-by-frame event analysis, and game dynamics.
• Key Focus: Football rules, player tracking, computer vision-assisted video analysis, data annotation.
Bank Marketing Data Analysis. (GitHub)
Performed end-to-end data processing, feature scaling, and statistical evaluation. Identified key patterns and valida-
tion factors in structured datasets.
• Key Focus: Data cleaning, structured data logging, metrics calculation, univariate/multivariate analysis.
UniBERT — Student Support System. (GitHub)
Developed an automated question-answering system trained on domain-specific text resources.
LANGUAGES
Ukrainian Native
English B1
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