British Airways Customer Review Analytics — Data Science Project

Analyzed airline customer review data using web scraping, data analytics, and predictive modeling to identify factors influencing customer satisfaction and purchasing behavior.

PROJECTS

Chandan N

2/27/20261 min read

Problem
Customer reviews contain valuable insights, but unstructured text data makes it difficult to extract actionable business intelligence.

Objective
Convert customer review data into structured insights by:

Extracting customer sentiment trends
Identifying key satisfaction drivers
Analyzing buying behavior factors
Supporting data-driven decision making

What I Did?

Scraped airline customer review data from online sources
Performed data cleaning and exploratory analysis
Analyzed sentiment and behavioral patterns
Built predictive model to understand buying factors

Key Analyses

Customer sentiment trends
Review pattern analysis
Buying behavior drivers
Data visualization for insights

Tools & Technologies
Python, Web Scraping, Data Analysis, Machine Learning

Outcome
Transformed unstructured review data into structured insights, demonstrating applied data science workflow from data extraction to predictive analysis.