This project focuses on leveraging data analytics and predictive modeling to uncover crucial business insights and forecast customer buying behavior for British Airways. The objective is to assist the airline in acquiring customers before they embark on their holidays. By applying advanced analytical techniques, the project delivers actionable recommendations, tools, and models that drive informed business decisions and optimize customer acquisition strategies.
Predictive Machine Learning ModelCustomer Booking Dataset
Size: 50,000 entries; 14 features
Web-scraping Data
Source: skytrax (airlinequality.com)
Date collected: 2nd, September, 2024
From: 9th, October, 2011
To: 2nd, September, 2024
Duration: 12 years, and 11 months
Size: 3,855 reviews
Wordcloud Animation
Wordcloud Airplane Silhouette
Review Count by Year & Month
(See PowerPoint A for insights)
Sentiment Score through various perspectives
(See PowerPoint A for insights)
Review Status
(See PowerPoint A for insights)
ML Model
(See PowerPoint B for insights)