Ridwan Iqbal refined the question dataset for the numi-scraper repository, focusing on improving data quality and completeness rather than expanding features. He updated the JSON files by correcting and adding question data, ensuring more accurate and reliable outputs for downstream analytics and model training. His work emphasized data management and data scraping skills, with careful attention to repository hygiene and version control through targeted, traceable commits. By prioritizing dataset curation and JSON manipulation, Ridwan enabled more dependable scraping results. The scope of work was focused and deep, addressing core data engineering needs within the project’s short timeframe without introducing new features.