A data-driven project designed to analyze and enhance the efficiency of service desk ticket resolution. Leveraging Python and data science techniques, the project covers the complete pipeline—from data cleaning and visualization to predictive modeling and optimization recommendations. This end-to-end solution helps identify trends, bottlenecks, and areas for improving ticket resolution time.