I'm Arshia Feizmohammady, an engineering student with a passion for quantitative finance. Throughout my research internships, I've had the opportunity to work on several exciting projects. This GitHub will be home to all of my personal projects that I find interesting.
For a more thorough summary of my skills and experiences, you can check out my personal website:
- Education: Industrial Engineering with a Minor in AI at the University of Toronto
- Technical Skills: Python, Java, JavaScript, HTML, CSS, Node.js, Numpy, Pandas, Pytorch
- Currently Exploring: Quantitative Research in Commodities and Cryptocurrency
- R.I.S.E. – 1st Place & People's Choice at Hack the Globe 2026 - A community-vouched alternative credit scoring and micro-lending platform built with LightGBM, SHAP, FastAPI, and React
- Commodities NLP Trading Strategy – An end-to-end quantitative research project that builds NLP-driven trading signals for commodity markets, including text preprocessing, topic modeling, sentiment extraction, feature engineering, and backtesting
- Scotia Swipe – 2nd Place at S:\HA>KS 2025 - A social-media-inspired solution helping customers manage subscriptions and improve financial literacy
- Abstractive Summary & Image Generation Model - A pipeline that takes financial news, creates summaries, and generates images using those summaries
- BMW & Mercedes-Benz Forecasting with Facebook Prophet - Time series forecasting for automotive technology trends using Facebook Prophet
- Model-Based Technology Forecasting & Game Theory - Recreating academic research on technology forecasting and competitive modeling
- Two-Dimensional Pareto Frontier Forecasting - Multi-objective optimization for technology planning and roadmapping
- Competition-Driven Figures in Technology Roadmapping - Competitive analysis and game theory modeling for strategic technology positioning
- Email: arshia.feizmohammady@mail.utoronto.ca
- 💼 LinkedIn: linkedin.com/in/arshiafeiz