IFT 3150 · Capstone project
Player Data Platform
A multi-source tennis player data platform developed in the context of my work with Tennis Canada.
View project tracking on GitHubPortfolio
Projects across data engineering, analytics, and applied AI.
Granite Support Lab
Tennis Data Platform
Datapreneur — Millénium Québecor
Explainable Compliance
Safer Conversations
Moving Objects
Analytics Systems
Nassim Barhoumi
Data Scientist & third-year Computer Science student at UdeM
Montreal, Canada
I’m Nassim Barhoumi, a Montreal-based data scientist and third-year Computer Science student at Université de Montréal. 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.
Explore my portfolioCoursework
Selected coursework in computer science and economics at Université de Montréal, with projects and learning resources.
IFT 3913 · Fall 2026
Software Quality
Software testing, code coverage, and automated quality evaluation. The linked repository contains course materials.
View course materials on GitHubIFT 2015 · Completed
Data Structures
Abstract data types, trees, dictionaries, priority queues, and graphs.
IFT 2245 · Completed
Operating Systems
Concurrency, synchronization, scheduling, memory management, file systems, and distributed systems.
IFT 1227 · Completed
Computer Architecture 1
RISC and CISC instruction sets, addressing modes, interrupts, input/output, pipelining, and parallelism.
ECN 1000 · Completed
Principles of Economics
Supply and demand, opportunity cost, consumer and firm decisions, market structures, and international trade.
ECN 1050 · Completed
Introduction to Macroeconomics
National accounts, inflation, unemployment, monetary markets, and short- and long-run economic models.
About
About
I’m Nassim Barhoumi, a Montreal-based data scientist and third-year Computer Science student at Université de Montréal. 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
Marketing work for Habitation Rive Sud and real estate brokers.
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.
Featured article
Experience Ventures · 2026
How Nassim Barhoumi turned curiosity into real-world AI experience
Side quest
2024
Ran as an independent candidate in the LaSalle—Émard—Verdun federal by-election.
Elections Canada
Contact
Open to conversations about data, AI, sports technology and selected collaborations.
Back to portfolioGranite Support Lab
A local IT support assistant that finds a relevant guide, uses IBM Granite to suggest next steps, and lets users save and manage a ticket.
- Role
- Applied AI & workflow automation
- Year
- 2026
- Technology
- Python, Streamlit, IBM Granite, Ollama, scikit-learn, LangGraph, SQLite
Tennis 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
Datapreneur — Millénium Québecor
An AI-assisted real estate feasibility project developed through the Datapreneur program at Millénium Québecor, focused on product strategy and early market validation.
- Role
- Product strategy & market research
- Year
- 2026
- Focus
- AI-assisted real estate feasibility
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 Mila hackathon project involving model training to explore safeguards for conversational AI in youth mental-health contexts.
- Role
- Model training & AI safety
- Year
- 2026
- Technology
- NLP, model fine-tuning, conversational AI safety
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
From objects to estimated volume
Detected objects → estimated dimensions → total volume (m³) → truck recommendation.
The prototype combines image geometry with reference dimensions for each object category. It adds the estimated volumes and compares the total with available truck capacities.
Detection scores indicate model confidence, not volume accuracy. Volume estimates are approximate.
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