This study explores the integration of Scrum methodologies with artificial intelligence (AI) in project management, focusing on the use of data analysis to optimize team performance. By simulating a Scrum project in Python, we analyzed task distribution, completion times, and team velocities using various visualizations. The results reveal key insights into task bottlenecks, workload distribution across sprints, and team members’ efficiencies. Additionally, a machine learning model was developed to predict task completion times, showing significant accuracy improvements. These findings demonstrate the potential of AI in enhancing planning processes for future sprints.