Alongside housing research, I build the technical layer behind the work: ingestion pipelines, monitoring dashboards, geospatial workflows, automation, and data products designed to make analysis operational.
A portfolio-wide monitoring layer that consolidated fragmented compliance signals into a single operational system.
Shows production-style dashboard design, scheduled data checks, and analytical systems built for live operations.
Open Case
An anomaly-detection workflow for estate vehicle access records, including OCR-aware matching and repeat-visitor analysis.
Shows applied analytics, fuzzy matching, operational investigation design, and interface thinking under noisy data conditions.
Open Case
A lightweight browser extension that made field data capture faster while staying compatible with existing reporting workflows.
Shows pragmatic systems design: improve throughput and reliability without forcing teams to adopt a totally new stack.
Open Case
A monthly reporting pipeline combining HDB transaction data, town-level geography, and language generation to reduce reporting overhead.
Shows how I approach automation as analytical infrastructure rather than just scripting for convenience.
Open Case
A data pipeline designed to generate recurring market and operational reports using automated workflows.
Reduced manual reporting work while improving consistency and timeliness of client insights.
Open Case
A suite of real-time dashboards designed for leadership to monitor housing market conditions and internal performance signals.
Enabled leadership teams to track market conditions and internal performance through continuously updated analytical dashboards.
Open Case
A Raspberry Pi-based MariaDB setup used to receive sensor data and support end-to-end experimental data collection without relying on hosted infrastructure.
Created a small self-hosted database environment that could accept live sensor inputs and support downstream analysis projects.
Open Case
A scripted workflow that scraped daily market data, joined supporting financial datasets, computed valuation-oriented features, and wrote the results back to SQL for dashboard use.
Built a repeatable daily ingestion workflow that turned scraped market data into structured SQL tables for downstream analysis and dashboards.
Open Case
An end-to-end experiment that collected temperature and humidity data from sensors, stored it in SQL, and tested whether machine learning could reduce air-conditioning usage.
Built a full workflow from sensor hardware to analysis, showing how environmental data could support more efficient air-conditioning decisions.
Open Case
An ingestion workflow that moved Google Form responses into SQL on a schedule so Power BI dashboards could refresh close to real time without paid middleware.
Created a practical low-cost pipeline that kept customer-feedback dashboards updated within minutes of submission.
Open Case
A monitoring dashboard built to detect sensor dropouts, latency issues, and abnormal posting intervals across multiple devices sending data into SQL.
Made it easier to identify failing or lagging sensors quickly instead of discovering data problems only after downstream analysis broke.
Open Case