MarkPhamm/skytrax_reviews
A comprehensive ELT pipeline for analyzing passenger satisfaction data. Features a modern data architecture with Apache Airflow for extraction, dbt/Snowflake for transformation, Python/Pandas for cleaning, and interactive dashboards for visualization with NextJS.
This project helps airline customer experience managers and analysts understand what passengers are saying across all airlines. It takes raw customer reviews from Skytrax, cleans and organizes them, then provides interactive dashboards and a chatbot to explore insights. You can use it to track satisfaction, identify common issues, and compare performance.
No commits in the last 6 months.
Use this if you need to systematically collect, analyze, and visualize passenger feedback from a major review site to inform customer service improvements or competitive analysis.
Not ideal if you need to analyze internal survey data or feedback from sources other than Skytrax, or if you need statistically robust, population-level generalizations rather than directional insights.
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MIT
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Last pushed
Oct 05, 2025
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