An end-to-end MLOps dashboard analyzing MTA transit recovery trends using Python, Plotly Dash, and modular data engineering pipelines.
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Updated
Apr 7, 2026 - Jupyter Notebook
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.
Data-driven Rider Satisfaction Score (RSS) for MBTA rapid transit combining operational metrics with passenger surveys. Interactive Streamlit dashboard with equity analysis.
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