British Airways Data Science Job Simulation on Forage: Customer Feedback Analysis and Buying Behavior Prediction - April 2023
- Acquired unstructured data from a third-party website, https://www.airlinequality.com/airline-reviews/british-airways, through web scraping.
- Cleaned and structured the data for analysis.
- Identified key topics and conducted sentiment analysis of the collected reviews using Natural Language Processing (NLP), narrowing down the number of important customer service factors.
- Presented insights and informative analysis to stakeholders and decision-makers.
- Conducted exploratory data analysis (EDA) to gain a better understanding of trends, outliers, and statistical properties of the dataset, which contained 50,000 entries.
- Engineered features and built machine learning classifier models to identify the most and least important features and predict customers' buying behavior.
- Presented results to stakeholders and made recommendations for improving customer services and increasing customer bookings.
- This project simulates a complete data workflow: Plan, Analyze, Construct, Execute (PACE), providing stakeholders with recommendations, tools, and models to drive critical business decisions.
- Keywords: web scraping, data cleaning, data management, EDA, sentiment analysis, statistics, feature engineering, predictive models, machine learning, tree-based models, presentation, data visualization.
Completion Certificate: Certificate