“Predictive analytics project analyzing 3M+ U.S. flight records to forecast delays using Random Forest and XGBoost, improving operational decision-making for airlines.”
An interactive Tableau dashboard that explores airline customer reviews to uncover passenger satisfaction, sentiment trends, and service quality insights.
Python analytics project analyzing airline disruptions, delays, cancellations, and passenger impact using a Disruption Severity Index (DSI).
Analyzing Frontier Airlines’ customer experience using real Skytrax reviews with route and aircraft context. Data is modeled in Snowflake (dbt), cleaned and analyzed with Python and SQL, and presented in an interactive Mode dashboard to surface clear insights.
Add a description, image, and links to the airline-analytics topic page so that developers can more easily learn about it.
To associate your repository with the airline-analytics topic, visit your repo's landing page and select "manage topics."