Data reveals what narratives hide.
Housing markets move on incentives, not headlines.
DATA-FIRST ANALYSIS OF HOUSING MARKETS
Understanding housing markets through data, policy, and incentives.
Housing is one of the most important assets households own, yet the information surrounding property markets is often fragmented, narrative-driven, and poorly analysed. My work focuses on studying housing markets through data, policy structures, and behavioural incentives. Using large-scale datasets, analytical infrastructure, and macroeconomic context, I research how housing markets actually function - with a primary focus on Singapore and a broader interest in Southeast Asia.
Markets make more sense when you study the system.
Housing markets are shaped by a complex interaction of policy, infrastructure, capital flows, and human behaviour. Understanding them requires more than commentary - it requires structured data, careful analysis, and the ability to connect signals across multiple layers of the system. My research focuses on combining large-scale housing data, macroeconomic context, and policy analysis to explain how housing markets actually function.
Because when the data is clear, the market becomes easier to understand.
Latest Research
Singapore Real Estate Forecasting Models
A forecasting research track that combined transaction history, macro signals, and richer geospatial context to model Singapore property-price movement more rigorously.
Amenities and Property Prices in Singapore
A research project studying how a broader amenity set improves property-price modelling in Singapore compared with narrower, single-signal approaches.
HDB Resale Prices and SORA Rates
A market study combining MAS rate data, HDB resale transactions, and town-level mapping to examine how financing conditions and resale activity moved together.
Automated HDB Trends Reporting
A recurring reporting workflow that combines HDB resale data, town-level geography, and language generation to produce faster monthly market summaries.
Primary School Proximity and Residential Demand
A map-based decision-support tool combining OneMap geocoding, SQL distance logic, and Python processing to evaluate school access around a chosen address.
Condo Prices Near MRT Stations
A geospatial housing-market study measuring how MRT proximity, line segmentation, and tenure shape condo pricing patterns in Singapore.
Latest Media Appearances
Singapore's construction surge and housing supply
Construction pipelines are where macro trends, housing supply, and labour demand collide.
The 80% question: changes coming to the en bloc threshold?
En bloc momentum depends on policy design as much as market appetite.
Rising clawbacks and falling developer sales
Policy changes tend to alter buyer behaviour before their effects show up fully in prices.
Singapore small-unit condos: steady demand, sluggish resale
Demand can remain steady even when resale liquidity slows.
Latest Speaking Engagements
Investing in Singapore Property: A US Professional's Playbook
US Professional Audience Briefing • Singapore
Presented a practical diligence framework for evaluating Singapore property from an international investor perspective.
Singapore Property & Policy Briefing for GOPIO Singapore Leaders
GOPIO Singapore • Singapore
Delivered a structured briefing on Singapore housing policy and market realities to senior community and business leaders.
Entrepreneurship in Singapore: Systems, Execution, and Human-Centric Innovation
UT Austin MTC • Singapore
Spoke to UT Austin students about building in Singapore and designing automation to increase human value.
My Personal Timeline
Built a business and market-thinking foundation at the University of Birmingham
My undergraduate training in International Business gave me an early grounding in markets, incentives, strategy, and how economic decisions play out in the real world.
Moved from broad business analysis into more data-driven problem solving
Early roles across reporting, analysis, and process work sharpened my interest in using structured data to reduce ambiguity and support better decisions.
Developed a stronger analytical and geospatial research base at SUSS
My master's work in Analytics and Visualizations deepened the technical side of my work, especially through geospatial research on Singapore real-estate price prediction.
Shifted decisively into Singapore housing, market intelligence, and operational systems
My work moved beyond general analytics into housing-market research, dashboards, compliance systems, automation, and decision-support infrastructure.
Started building repeatable analytical systems instead of one-off analysis
This period sharpened my approach: combine SQL, Python, mapping, dashboards, and automation to make housing research more scalable, consistent, and usable.
Began translating housing research into public commentary and external briefings
Research increasingly became public-facing through media appearances, market briefings, and talks for broader audiences, with a focus on making complex housing signals easier to understand.
Started Autoflow to build practical AI and automation systems for lean teams
Autoflow extends the systems side of my work into consulting, focused on workflow automation, AI deployment, integrations, and reporting infrastructure for Singapore SMEs.
Beginning a fully funded PhD in Real Estate at NUS
The next phase of my work will formalize a longer-term research agenda around housing markets, policy, urban systems, and evidence-based market analysis.