Hey, I'm Faraz.
AB, Canada
I believe in building software that is simple, powerful, and elegant. I have a degree in Computer Science + Data Science from UBC, and my expertise lies in full-stack development, data science, and machine learning.
I'm currently a Junior Data Scientist at Health Canada, where I dig into data, train & evaluate models, and build internal tools. Previously, I worked with UBC Bionics to build and maintain two full-stack sites while leading a team of developers, finance officers, and sponsorship coordinators. Before that, I freelanced for a review-aggregator company, where my work drove an 87% increase in user satisfaction.
Health CanadaBelow are some recent projects and experiments - I hope you find something interesting! The rest lives on GitHub and LinkedIn, but don't hesitate to reach out!
Mobile app to create study groups focused on social accountability. Ranked 1st Place out of 15+ teams at a project demo showcase.
Web app that displays extensive real-time stats from a Minecraft speedrunning API. Currently used by 1500+ monthly users.
Stock research & analytics project combining yfinance data with sentiments from investing subreddits to generate insights on market trends. (WIP)
Personal portfolio website built with Next.js, Tailwind CSS, and Vercel for deployment.
Artificial neural network library implemented from scratch in C++ to achieve 97% accuracy on image classification.
Full-stack government policy discussion platform with forums, petitions, polls, interactive maps, LLM integration, and more. Placed Top 10 @ HackTheChange.
InsightUBC
Full-stack application using a RESTful API to query class section datasets and display comprehensive insights.
Cybersecurity system designed for growing canadian businesses in healthcare. Placed Top 15 @ ProduHacks.
Comparing the efficacy of 4 classification models in predicting coronary heart disease. Built @ CPL hackathon.
Tool for visualizing chaotic mathematical systems based on x-y-time equations.