
Michael contributed to the SCE-Development/spartan-compass repository by building two core data-collection features focused on academic analytics. He developed a comprehensive Rate My Professors data pipeline using Python, BeautifulSoup, and Requests, handling full-site scraping, pagination, and API integration, then designed a CLI tool for clean, de-duplicated database insertion. For SJSU course data, Michael converted scrapers to TypeScript, enriched the data model with standardized course numbers and semester fields, and integrated the flow with Drizzle ORM for robust database management. His work improved data quality, enabled automated ingestion, and provided a foundation for more reliable analytics and faster time-to-insight.

March 2025 highlights for Spartan Compass: delivered two major data-collection features, enhanced data quality through schema updates, and integrated new scrapers into the main pipeline to enable automated ingestion and richer analytics. Outcomes include a complete Rate My Professors dataset and enriched SJSU course data with standardized numbering and semester information, driving more reliable analytics and faster time-to-insight.
March 2025 highlights for Spartan Compass: delivered two major data-collection features, enhanced data quality through schema updates, and integrated new scrapers into the main pipeline to enable automated ingestion and richer analytics. Outcomes include a complete Rate My Professors dataset and enriched SJSU course data with standardized numbering and semester information, driving more reliable analytics and faster time-to-insight.
Overview of all repositories you've contributed to across your timeline