This project analyzes real flight disruption data to identify operational risk patterns across US airports and airlines. It transforms raw delay and cancellation data into actionable risk intelligence - the same kind of visibility that supports airport security and resilience decision-making.
I've spent years working in airline operations and ground handling. I've watched disruptions unfold in real time - delays cascading, ressources missalocated, risk decisions made without data. This project is me building the tool i wish we had to facilitate our work.
- Delays patterns by airport, airline and cause
- Cancellation and diversion trends
- Peak disruption windows and highest risk routes
- Operational risk indicators with analyst commentary
- Python (data cleaning)
- Tableau Public (dashboard)
- Dataset : US Bureau of Transportation statistics (public data)
In progress - Started April 2026