During January 2025, Michael Goodman developed the ROIProd module for the DUNE/duneana repository, focusing on identifying and processing Regions of Interest in raw digit data. He refactored existing ROI analysis functions into separate, reusable modules, improving code maintainability and organization. Using C++ and ROOT, he implemented ROI metrics calculation and introduced digit filtering based on ROI identification, which enhanced the accuracy and efficiency of the reconstruction chain. His work addressed the need for more streamlined and maintainable ROI-based analysis, demonstrating depth in data analysis and detector simulation while delivering a single, well-integrated feature over the course of the month.