Data Science & Analytics @ NUS · Full-Stack Developer · Product Builder
I build end-to-end products that sit at the intersection of data, engineering, and real-world impact — from a live cognitive health platform used by dementia caregivers to a GDPR-compliant health economics research tool deployed in active clinical interviews.
| Project | Stack | Description |
|---|---|---|
| 360Cogni | React 19, TypeScript, React Native/Expo, Supabase | Live cognitive health platform — 6-domain screening, brain training, caregiver management across web & mobile |
| NUS Health Economics Tool | React/TS, Node.js, PostgreSQL, JWT, AES-256 | GDPR-compliant EQ-5D-5L TTO research platform · WCAG 2.1 AA · multi-language (EN/ES/ZH/ID) |
| AI Marketing Dashboard | React 18, TypeScript, Supabase Edge Functions | 4 autonomous AI agents · predictive revenue forecasting · A/B testing with Z-test significance |
| Receipt Automation | Google Apps Script, Gemini 2.5 Flash, Google Sheets | Form → AI → structured Sheet pipeline · extracts vendor, GST, totals from PDF/JPG receipts |
| Halal Food Data Pipeline | Python, Pandas, BeautifulSoup | 2,695+ establishments scraped from MUIS · 99.72% address coverage · reproducible Makefile pipelines |
| Bassline — SF Nightlife App | React, TypeScript, Supabase, Leaflet | Search/filter bars & clubs · interactive map · distance/time from location · save favourites with auth |
Frontend
Backend & Database
Data & Analytics
Deployment
- 🏥 Product Manager Intern @ Digital Health Startup — launched 360cogni.com from zero to MVP
- 🎲 Web & Mobile Dev Intern @ NUS (DSFP Programme) — built dementia support platform for seniors & caregivers
- 🔬 Student Researcher @ NUS — GDPR-compliant health economics research tool for clinical TTO interviews
- 📊 eCommerce Analytics Intern @ Marina Bay Sands — 98% data accuracy, 15% conversion lift, 83% time saved
- 🤖 Software Developer @ Medisaya — 50,000+ records scraped, Django REST APIs, AI/ML integration
- ✅ QA Student Assistant @ AI Singapore — 1,000+ files validated, 30% reduction in post-launch errors
B.Sc. Data Science & Analytics — National University of Singapore (2022 – Present)
Relevant coursework: Machine Learning, Data Science in Practice, Regression Analysis, Mathematical Statistics, High-Dimensional Statistical Analysis, Quantitative Finance
Open to full-time opportunities in Software Engineering, Data Analytics, and Product — based in Singapore 🇸🇬