03 / PORTFOLIO

Selected projects

Personal projects in statistical simulation, data workflows, and practical productivity systems.

PROJECT_01Data pipeline and interactive visualization

Toronto Rent Heatmap Lab

A city data workflow and interactive map prototype for comparing rent pressure across Toronto.

WHAT I BUILT

Built a Python workflow for data extraction, transformation, and loading from normalized and CMHC style tables, including handling for suppressed rent values.
Designed a SQL dimensional model and Power BI ready exports for rent, vacancy, unit count, geography, and year.
Built a GitHub Pages choropleth with official City of Toronto Community Council boundaries. The current map uses sample rent values.

PROJECT_02Statistical simulation and risk analysis

A Python tool for exploring stock price uncertainty through reproducible GBM simulations and downside risk metrics.

WHAT I BUILT

Estimated drift and volatility from historical prices, then generated seeded GBM paths for repeatable scenario analysis.
Calculated percentile ranges, VaR, CVaR, probability of loss, and target hit probability.
Packaged the work as reusable Python modules with a command line interface, Plotly charts, and a Streamlit app.

PROJECT_03Workflow and productivity prototype

A local Electron prototype for organizing a personal co-op search from job review to application package tracking.

WHAT I BUILT

Modelled collected jobs, review decisions, package folders, application stages, and preference rules in one local workflow.
Used Electron, JavaScript, and JSON backed state with a limited preload bridge for local file operations.
Defined the product need, workflow, priorities, and review decisions, then used an AI coding agent for a substantial share of implementation and iteration.