Is Manchester United Better Without the Ball? - Sports Analytics Research Article
"United have spent years trying to dominate possession. The numbers say they shouldn’t."
Computer Science @ Queen’s University • Software Design Specilization
Aspiring Software Developer · AI & Data Enthusiast
I build data-driven systems that turn complex information into real-world impact, across finance, transit, healthcare, and sports intelligence.
Incoming CIBC Software/Application Developer Intern • Open to Summer 2027 opportunities • Shipping constant improvements to my portfolio
Hi, I'm Arvin!
I am a 2nd year Queen’s Computing student specializing in Software Design, with a Certificate in Business from the Smith School of Business. I enjoy working at the intersection of technical depth and real-world impact,whether that’s analyzing transit records, building RAG-powered healthcare tools, or translating sports metrics into data-driven insights.
Beyond code, I love travelling and sports. I’ve played competitive soccer all my life and earned my 2nd degree black belt as a karate instructor, experiences that taught me resilience, communication, and adaptability.
Education
Interests

CIBC • Toronto, ON
Metrolinx • Toronto, ON

QMIND • Kingston, ON

QSAO • Kingston, ON

Queen’s AutoDrive • Kingston, ON

QWeb • Kingston, ON

QUANTT • Kingston, ON
Featured work is pinned first. Status badges update the current stage of each project.
Healthcare RAG system delivering personalized post-surgery recovery guidance for doctors & patients.
AI-powered movie recommendation and discovery app. Set your favorite genres, swipe through personalized movie picks, and then you get a match!
Modern responsive portfolio built with HTML5, CSS3, and vanilla JavaScript. Features dark mode, SEO optimization, and accessibility-first design. Showcasing my experiences and achievements.
Voice-first extension that guides users through the web with AI assistance.
Interactive AI-powered negotiation practice for first-time renters.
Python arcade game built with Pygame and Tkinter timer mechanics.
No projects match this filter right now.
Machine learning model for WAR projections and Statcast pipelines for roster, trade, and contract strategy using Python frameworks.
2nd place finish for Miami Heat analytics pitch focused on performance strategy and roster fit using Python frameworks.
"United have spent years trying to dominate possession. The numbers say they shouldn’t."
A data-backed look at managerial bounce patterns at Man United, with expectations for Ruben Amorim’s tenure.
I respond quickly to coffee chats, project collaborations, internship opportunities, and technical discussions.