Near-real-time Montreal transit operations analytics: GTFS/GTFS-RT pipeline, public data contracts, and a SvelteKit citizen dashboard.
-
Updated
Sep 8, 2026 - Python
Near-real-time Montreal transit operations analytics: GTFS/GTFS-RT pipeline, public data contracts, and a SvelteKit citizen dashboard.
CDA transit process-mining and route-intelligence platform with Streamlit dashboards, PM4Py XES validation, bottleneck analytics, and geospatial route maps.
Live Champaign-Urbana MTD dashboard with Mini Metro-inspired transit mapping, real-time bus locations, occupancy pressure, and rider-focused route insights.
Data-driven Rider Satisfaction Score (RSS) for MBTA rapid transit combining operational metrics with passenger surveys. Interactive Streamlit dashboard with equity analysis.
TriMet on-time performance analysis using Python and machine learning — PSU capstone project
An end-to-end MLOps dashboard analyzing MTA transit recovery trends using Python, Plotly Dash, and modular data engineering pipelines.
A scalable ELT pipeline monitoring Bay Area transit delays in real-time using Python, BigQuery, dbt, and Looker Studio.
Weather-aware probabilistic severe bus-delay prediction on Dublin transit with temporal robustness, calibration, and deployment policy evaluation.
End-to-end live data pipeline for Turin public transit analytics — Airflow, dbt, Postgres, Metabase
To associate your repository with the transit-analytics topic, visit your repo's landing page and select "manage topics."