Worked on enhancing data quality for master questions in the TheAnonymous-stack/numi-scraper repository, focusing on fill-in-the-blank question types. Developed and implemented standardized validation for correct_answers, ensuring consistency across all question formats and supporting multiple valid answer variations, such as responses with or without percentage signs. Utilized JSON for structured data management and applied data normalization techniques to improve input validation and reduce ambiguity in answer evaluation. Maintained disciplined version control throughout the process, contributing to more reliable analytics and scoring. The work emphasized educational content creation and robust data management practices within a collaborative data engineering workflow.