Worked on the numi-scraper repository to deliver a comprehensive refresh of Grade 5 educational content, focusing on both question bank refinement and image asset modernization. Leveraged Python to standardize and centralize the question bank, ensuring improved data consistency and easier future updates. Applied data management and question bank management skills to establish a single source of truth for questions and to streamline asset handling across multiple curriculum sections. The work emphasized clean release practices and scalable asset management, enabling more efficient quality assurance. No major bugs were addressed, as the month’s efforts centered on feature delivery and content quality improvements.