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toronto

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Production-grade real-time transit analytics platform for Toronto TTC. Ingests GTFS Realtime feeds (vehicle positions & trip updates) every 30s, implements medallion architecture with MinIO data lake and Postgres warehouse. Airflow orchestration, Docker deployment. Built for analyzing delays, vehicle utilization, and service patterns.

  • Updated Dec 20, 2025
  • Python

A machine learning project that uses Toronto Police bicycle theft data to predict whether a bicycle has been stolen or recovered. Features are extracted and different models are trained to predict with varying accuracy.

  • Updated Apr 13, 2022
  • Python

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