airline-data

A simple Python tool to fetch and analyze flight data for 15+ major airlines using the AirLabs API.

This project covers my initial process of learning SQL and also aims at the retrieval of relevant information from the database in the best and efficient manner.

SQL project analyzing airline booking data using Joins, CTEs, and Window Functions.

SQL project that analyzes airline data to find patterns in ticket pricing, airport traffic, flight performance, aircraft usage, and route networks. Uses SQL queries to turn raw data into meaningful business and operational insights.

Executive survey intelligence platform analyzing 129,880 airline passenger responses with Python statistical engine and interactive Plotly.js dashboard. Features Chi-Square testing, Cramér's V effect sizes, confidence intervals, and automated executive insights.

Predicting lower-cost carrier entry into U.S. airline routes with temporal validation, XGBoost, and route-level market-intelligence scoring.

A careful list of flight data APIs for prices, booking links, status, schedules, and travel inventory

Interactive Power BI dashboard analysing 34M U.S. flights across airline, airport, cancellation, diversion, and delay-cause performance from 2017–2022.