> Resume
LinkedInSummary
Lead Data Scientist with experience building production-grade ML systems, AI-powered solutions, and Data Infrastructure at scale.
Experience
Lead Data Scientist / Head of DS & AI
Jan 2023 — PresentGovTech — Singpass
- Founding Data Scientist - scaled two cross-functional DS/ML/AI & Engineering teams in Singpass (Trust & Safety, Data Platform)
- Built & scaled Singpass Trust & Safety from 0 → 1: the full ML life cycle + data engineering + analytics & simulations
- Built & scaled Data Platform from 0 → 1: multi-TB data architecture & division-wide production service
- Architectured, experimented & deployed production-grade ML Fraud Detection Engine optimised for >90% precision, escalating >1k fraud cases annually to protect Singpass accounts
- Leading Data Engineering, Analytics, Metrics & Experimentation strategy for multiple nationwide digital products
- Pioneered multi-step NLP clustering algorithm for unsupervised detection of issue clusters in unstructured text
- Lead AI teams to build enterprise Agentic RAG solutions, workflow automations for ticket categorisation, sentiment analysis
- Pioneered methodology for high-recall performance of retrieval documents using automatic HyDE algorithm
- Developed low-latency multi-objective route optimisation by custom-rewriting Google's OR-tools
- Built Whole-of-Government's (WOG) LLM-powered Analytics platform for natural-language querying across dozens of datasets
- Full-stack developer for WOG Data Platform's first data quality metrics
- Built & managed data engineering pipelines for multi-source Geospatial dataset at scale
Data Scientist
Jan 2022 — Jan 2023Grab
- Built User LTV Prediction Model using neural networks, custom loss functions & fine-tuned category-to-embedding models, utilised across product lines for user-level ROI forecasting
- Architectured, built & deployed Grab's first automated Impact Estimation platform using pseudo-experimentation for causal analysis without A/B tests, scaled across all products, countries
- Awarded Grab Way award for outstanding performance
Data Scientist Graduate Researcher
Aug 2019 — Apr 2020Point72 — Commodities
- Built Vector Auto-Regressive models for oil price prediction with Bayesian optimisation, achieving 18% error reduction from existing academic benchmarks
- Developed proprietary Energy Demand Index based on hundreds of underlying indicators
Education
M.S. Business Analytics / Data Science
2019 — 2020Columbia Engineering, Columbia University
GPA 4.0/4.0 — Awarded Graduate Fellowship for top performance
B.A. Politics, Philosophy & Economics
2016 — 2019University of Oxford
1st Class Honours — Top in College
Skills
Languages & Infrastructure
ML & AI
Data & Observability
Certifications
AI & Machine Learning
AWS Certified Machine Learning – Specialty
Amazon Web ServicesAzure Data Scientist Associate
MicrosoftAI Cybersecurity
Amaris.AIBuilding and Evaluating Advanced RAG
DeepLearning.AIAutomated Testing for LLMOps
DeepLearning.AILLMOps
DeepLearning.AILangchain for LLM Application Development
DeepLearning.AICloud & DevOps
Azure Administrator Associate
MicrosoftDevOps, DataOps, MLOps
Duke UniversityPython for MLOps
Duke UniversityContainers for Deploying and Scaling Apps
NUS-ISSDocker & Kubernetes
AcademindProduct & Agile
Certified ScrumMaster (CSM)
Scrum AllianceTeam Kanban Practitioner
Kanban UniversityManaging Digital Products
National University of SingaporeThe Missing Agile Manual
GovTech SingaporeAgile Course: Product Management & Delivery
UdemySoftware Engineering
CS50's Web Programming with Python and JavaScript
CS50React, NodeJS, Express & MongoDB — MERN Fullstack
AcademindScala & Functional Programming
Udemy