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.

A data-driven framework mapping daily activities to multi-horizon goals, exploring time-to-value realization beyond traditional 80/20 optimization

Analysis of 9 months of activity data (February-November 2024) to optimize resource allocation and value generation.