01
Capstone · 2026
Commercial Foot Traffic Model — City of Calgary
Multi-variable panel data regression model in Python analysing pedestrian and bike traffic across 6 downtown Business Improvement Areas (17th Avenue, Beltline, Chinatown, Victoria Park, 4th Street, Calgary Downtown Association) using CalTRACS and Environment Canada data spanning 2020–2025.
+1.2%
traffic increase per 1°C rise in temperature
−25%
combined traffic reduction attributed to COVID-19
Seasonality outperformed temperature alone as a predictor of movement. Higher BIA budgets showed a positive directional relationship with pedestrian activity. Each district behaved differently — confirming that area-specific strategies outperform one-size-fits-all approaches.
PythonstatsmodelspandasmatplotlibPanel DataEconometricsCalTRACSEnvironment Canada
02
Energy Markets · 2025
Alberta Power Market Analysis
Extracted and structured live market data via the AESO API to model electricity pricing dynamics in Alberta's deregulated power market. Applied econometric methods to identify pricing patterns relevant to generation planning and investment decisions.
PythonAESO APIEconometricsEnergy Markets
03
Policy Analysis · 2025
Ecuador Fuel Subsidy Policy Study
Applied microeconomic and fiscal policy frameworks to evaluate Ecuador's refined fuel subsidy system — modelling effects on consumer prices, national consumption volumes, and government expenditure.
RPolicy AnalysisMicroeconomicsEnergy Economics
04
Trading · 2024
BP Trading Competition
Simulated live trading strategies across equities, commodities, futures, and derivatives — including crude oil and gasoline. Developed practical risk management instincts and pricing intuition under real-time uncertainty.
DerivativesCommoditiesRisk ManagementStrategy