JP was a highly engaged and contributor throughout the internship. He applied unsupervised learning techniques to identify patterns within complex data and helped transform raw datasets into meaningful insights for decision-making. In addition to his technical modeling work, JP conducted research to support automation strategies and workflow improvements. His analytical thinking, strong communication, and responsiveness to feedback made him a valuable member of the data science team.