This project is made around the data of 100k orders of a Brazilian e-commerce store "Olist". It includes EDA, customer satisfaction prediction, NLP of reviews, clustering and RFM analysis along with the project deployment in Streamlit.
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
An Artificially Intelligent Product Satisfaction Predictor created in 2022 as a project for my NLP course in the British University in Dubai
Machine learning project predicting customer satisfaction in travel industry using survey data and passenger demographics. Implements multiple ML algorithms with comprehensive EDA, feature engineering, and actionable business insights.
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