Kenya Airways, like many international carriers, faces challenges with flight delays that can impact customer satisfaction, operational efficiency, and revenue. Delays may arise due to weather, maintenance issues, air traffic congestion, or crew shortages. However, without data-driven insights, it is difficult for stakeholders to identify patterns, peak times, and root causes of these delays.
This project seeks to analyze historical flight performance, identify delay trends, and uncover the major contributors to flight disruptions affecting Kenya Airways. Through data visualization and analysis, the goal is to provide actionable recommendations to improve on-time performance and optimize airline operations.