Tennis Data Platform
AI Feasibility
Explainable Compliance
Safer Conversations
Moving Objects
Analytics Systems
Nassim Barhoumi
Data Scientist & Computer Science student
Montreal, Canada
I’m Nassim Barhoumi, a Montreal-based data scientist and computer science student. I build data products at the intersection of sports, analytics and AI, working across data engineering, business intelligence, computer vision and applied NLP to turn complex systems into clear, useful tools.
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About
I’m Nassim Barhoumi, a Montreal-based data scientist and computer science student. I build data products at the intersection of sports, analytics and AI, working across data engineering, business intelligence, computer vision and applied NLP to turn complex systems into clear, useful tools.
Experience
- 2026—Now
Junior Data Scientist
Tennis Canada - 2026
Data / Business Intelligence Intern
Tennis Canada - 2025
Data Science & AI Intern
ManipAI — Demenago Project - 2026
Operations Analytics Extern
Amazon
Education
2024—2027
Bachelor’s Degree in Computer Science
Université de Montréal
Capabilities
Python, SQL, JavaScript, data engineering, REST APIs, ETL/ELT, Google Cloud Platform, BigQuery, Power BI, data visualization, machine learning, computer vision, NLP, Docker and Streamlit.
Languages
French & English — native
Arabic & Spanish — basic
Outside work
National-level taekwondo black belt. Tennis, running, football and piano.
Contact
Open to conversations about data, AI, sports technology and selected collaborations.
Back to indexTennis Data Platform
A multi-source platform bringing professional tennis player and match data together for analysis.
- Role
- Data engineering
- Year
- 2026
- Technology
- Python, APIs, BigQuery
AI Feasibility
Product strategy and early market validation for an AI-assisted real estate feasibility product.
- Role
- Product strategy & market research
- Year
- 2026
- Technology
- AI — technology stack not specified
Explainable Compliance
A DeBERTa-v3 compliance-report classifier fine-tuned with LoRA, with explanations for non-technical users and a special mention at the AIMS Hackathon.
- Role
- NLP & explainable AI
- Year
- 2025
- Technology
- DeBERTa-v3, LoRA
Safer Conversations
A responsible-AI concept exploring safeguards for conversational systems used in youth mental-health contexts.
- Role
- Responsible AI & product design
- Year
- 2026
- Technology
- Not specified — concept project
Moving Objects
A YOLOv8 pipeline for detecting moving-related objects, paired with a real-time Streamlit interface.
- Role
- Computer vision
- Year
- 2025
- Technology
- YOLOv8, Python, Streamlit
Analytics Systems
Data pipelines, analytical models and decision-ready reporting for sports and business teams.
- Role
- Analytics & business intelligence
- Year
- 2026
- Technology
- BigQuery, Power BI