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FlightIQ predicts flight delays and cancellation risk from historical data, then rolls route stats and airline trends into a clear 0–100 score so you can choose the most reliable flight.
Catch cheap flight, catch up on sleep
The project focuses on net worth and the factors that contribute to and hinders financial resilience.
Airline prices remain opaque to travellers and regulators. We combine economic modelling and machine learning to explain fare dynamics and simulate how competition changes affordability across routes.
Quantifying which financial and demographic variables most strongly predict long-term stability.
Uncovering Overpriced and Underpriced Airfares: A Data-Driven Analysis of Route-Level Pricing Dynamics Across Yearly Quarters.
Real-time airfare intelligence that blends interactive market dashboards with predictive modeling across 14K U.S. routes.
Decoding the Airfare Black Box - Using Machine Learning to Reveal How Distance, Competition, and Low-Cost Carriers Drive the Price of Every Domestic Flight.
We evaluate how close Toronto’s shelter system is to critical capacity and simulate demand shocks to inform proactive buffer policy.
Who Pays More, Who Pays Less, and Who Really Controls the Sky? Our analysis goes beyond distance to identify which predictors truly influence outcomes for individuals like us.
The detailed analysis of the Personal Finance Case.
To better understand financial stability in Canada, we developed a multidimensional Financial Risk Index.
We analyzed 16,000+ Canadian households to identify key drivers of wealth. Homeownership, education, and financial behavior matter more than income alone, revealing structural sources of inequality.
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