Projects

2025-26 Ontario Income Tax Calculator

A Python program that estimates Federal and Ontario income tax for the 2025–26 tax year. The tool calculates tax results based on user financial inputs by applying the appropriate federal and Ontario tax brackets, and includes a unique reference ID system that allows completed calculations to be saved and retrieved later. The project was built in Python and uses modular program design, user input handling, conditional logic, and file-based data storage to simulate a simple tax software workflow.

NBA Breakout Season Analysis

A Python analytics project that examines multi-season NBA player statistics to detect breakout performances and identify emerging talent through statistical improvements and performance trends. Player data is collected using a REST API and is analyzed using Pandas and NumPy, with a custom scoring model used to rank players based on year-over-year performance changes.

Canadian Banking Analysis

A Python data analysis project that compares Canada's Big Five banks on long-run returns, volatility, and dividend income using stock market data. Raw data is processed with Pandas and NumPy to compute annualized returns, return volatility, trailing dividend yields, and a daily-return correlation matrix. The results are visualized with Plotly through an investment growth chart, a risk-versus-return scatter plot, a dividend yield comparison, and a correlation heatmap.

Canadian Real Estate Market Dashboard

An interactive Tableau dashboard analyzing residential price trends and affordability across seven major Canadian metros, built on open Statistics Canada data. It uses calculated fields for year-over-year price changes and a price-vs-income affordability index, and features a map of Canada, KPI tiles, a multi-metro trend chart, and a dual-axis price-versus-income comparison with an interactive metro filter. Published on Tableau Public.