This portfolio is a series of projects I have worked on for academic purposes, and other projects done for self-study.

K-means Clustering for Airline Customer Value Analysis is a data-driven project focused on segmenting airline customers based on their behavior and value using K-means clustering. It includes an introduction to customer segmentation, dataset preprocessing, clustering methodology, results analysis, and actionable business insights.

This portfolio is a series of projects I have worked on for academic purposes, and other projects done for self-study.

Airline Passenger Satisfaction Analysis using Python and Machine Learning This project explores key factors influencing airline customer satisfaction through Exploratory Data Analysis (EDA), feature engineering, and predictive modeling using Logistic Regression, Random Forest, and XGBoost.