Hello, I’m Asha Asvathaman, a Toronto-based AI and computer vision engineer from Singapore.

I created TTC Delay Insights to combine my background in data with my love for transportation and urban systems, and to explore how data can make Toronto’s subway delays transparent, visual, and actionable.

I grew up in Singapore with fond memories of taking transit with my friends as a little girl, often without adult supervision. These experiences have shaped how I think about cities and movement. I believe public transit is an essential service, no different from health care or education. It allows people to access opportunity, community, and connection. At its best, it is safe, clean, and reliable — a system even children can navigate on their own — creating a sense of trust between people and their city.

I hope transit in Toronto can move a little closer to that standard. It is the lifeblood of any city, and understanding its pain points is the first step toward building a network that connects us smoothly, fairly, safely, and with a shared confidence in how we get around.

Data today, better commutes tomorrow.

All data used in this project comes from the Toronto Open Data Portal – TTC Subway Delay Dataset. I cleaned, standardized, and categorized it to make analysis easier and more transparent.

Browse the code and data on GitHub: github.com/asvath/SmartTransit

I created the TTC Delay Dodge Game to bring a bit of humor to Toronto’s daily commute. Players dodge real delay types — fires, signal problems, disorderly patrons — while grabbing coffee and Jamaican patties for extra points. It’s meant in good fun, but also as a reminder that keeping a complex, city-scale network running is no small feat.

If this work helps you, or if you enjoyed playing the TTC Delay Dodge Game, please consider supporting TTC Delay Insights. Your contribution helps cover hosting this website and any future projects.

Interested in working together? I'm available for full-time roles and consulting projects.