Computer Science at Simon Fraser University · into ML systems, data pipelines, and data products — from training and evaluation to dashboards and deployed apps.
- ML pipelines & evaluation — End-to-end training, validation, metrics (ROC AUC, calibration, feature importance).
- Data dashboards & BI — SQL, Python, Tableau for analysis and reporting.
- ML systems & products — Deploying models, APIs, maps, voice apps. Open to internships in Data / ML / SWE.
| Project | Description | Tech |
|---|---|---|
| graduate-underemployment-prediction | ML pipeline for graduate underemployment with interpretable models and evaluation. | Python CatBoost scikit-learn ROC AUC |
| house-price-ml-v2 | House price prediction: feature engineering, OLS/Ridge/Lasso, custom gradient descent, cross-validation. | Python scikit-learn pandas NumPy |
| Project | Description | Tech |
|---|---|---|
| airbnb-market-analysis | Vancouver Airbnb market: cleaning, SQL, Python, Tableau visualizations. | SQL Python Tableau pandas |
| Project | Description | Tech |
|---|---|---|
| TelusGuardAI | AI-powered network impact analyzer with geospatial map and LLM-backed insights. | React Leaflet Flask LLM |
| GymWhisper | Voice-powered workout tracker: Web Speech API + LLM to structure and log workouts. | React Web Speech API LLM |
| Project | Description | Tech |
|---|---|---|
| florykhan.github.io | Portfolio built from scratch — vanilla HTML, CSS, JavaScript. | HTML CSS JavaScript |
Reach out for collaboration, internships, or just to say hi.
Portfolio · LinkedIn · Email · Resume (PDF)
Last updated: Feb 2026



