Research, data science, housing economics, and AI-related work.
Building a recommendation system that matches homebuyers with properties based on preferences, lifestyle factors, and predicted satisfaction — not just filters.
Developing a composite affordability index that goes beyond price-to-income ratios to capture the true cost of housing across U.S. metropolitan areas.
An automated pipeline for processing Taiwan's 實價登錄 (actual price registration) data, with deduplication, unit price calculation, and market trend analysis.
A data pipeline that scrapes, cleans, and analyzes NYC rental listings daily to identify market trends, pricing patterns, and neighborhood-level shifts in real time.