Exploratory Analysis of Indian Airline's Ticket Prices using Python and Power BI

Complete static data via APIs on various aviation-related subjects.

This Hadoop project involves analysing the airline datasets to solve a few problem statements.

REST API for airline information including IATA/ICAO codes, fleet data, and home airports. Search 1,000+ airlines worldwide.

This is a binary classification problem, The goal is to predict which of the two levels of satisfaction with the airline the passenger belongs to: Satisfaction, Neutral or dissatisfied

This project analyzes airline reviews to compare major airlines from different regions worldwide. It involves data cleaning, analysis, and visualization using tools like R and Tableau to uncover trends and insights within the aviation industry.

Build machine learning model to predict airline passenger satisfaction with LGBMClassier, XGBClassifier and RandomForestClassifier

Annual Airline Performance Dashboard

Visualizing busiest airline routes (2015–2019) using Python + Tableau.

Exploratory Data Analysis (EDA) project on airline passenger satisfaction data. Includes data preprocessing, outlier handling, correlation analysis, segmentation, and actionable business insights to improve service quality and reduce dissatisfaction.

FlyingWhale Airline BI Case Study: Analyzing customer flight activity and loyalty history to optimize operations and enhance customer experience.

Exploratory Analysis of Indian Airline's Ticket Prices using Power BI

This project involves analysing the airline datasets to solve the problem statements using HADOOP.

SQL + Tableau analysis of US airline data (2018–2019) for investment insights.

a customized skyscanner for north-east asia flight tickets

This project to determine customer satisfaction towards an airline using SQL Server