Data-driven research, analytical infrastructure, and forecasting work focused on how housing markets function in practice.
A forecasting research track that combined transaction history, macro signals, and richer geospatial context to model Singapore property-price movement more rigorously.
Developed forecasting models that moved beyond simple headline variables by incorporating broader market, amenity, and geospatial context.
Open Case
A research project studying how a broader amenity set improves property-price modelling in Singapore compared with narrower, single-signal approaches.
Showed that incorporating a wider range of amenities materially improved property-price modelling compared with simpler proximity-based approaches.
Open Case
A market study combining MAS rate data, HDB resale transactions, and town-level mapping to examine how financing conditions and resale activity moved together.
Built a framework for reading HDB resale activity alongside Singapore interest-rate conditions, with town-level comparisons that made macro shifts easier to interpret.
Open Case
A recurring reporting workflow that combines HDB resale data, town-level geography, and language generation to produce faster monthly market summaries.
Reduced the friction of recurring HDB market reporting by turning transaction data and town-level comparisons into structured monthly summaries.
Open Case
A map-based decision-support tool combining OneMap geocoding, SQL distance logic, and Python processing to evaluate school access around a chosen address.
Turned school-proximity analysis into a practical map workflow that helps users evaluate residential options around a user-selected address.
Open Case
A geospatial housing-market study measuring how MRT proximity, line segmentation, and tenure shape condo pricing patterns in Singapore.
Built a spatial workflow linking condo transactions to MRT proximity, making it easier to compare pricing patterns across stations, lines, and tenure types.
Open Case