About
I’m a data scientist and front-end enthusiast with a passion for building thoughtful, data-driven digital experiences. With experience at Shopee and currently at Singapore’s Ministry of Defence (MINDEF), I’ve worked on systems that balance performance, security, and usability at scale.
My work bridges the gap between data and design—whether it's uncovering insights through machine learning models or crafting interfaces that make complex information more intuitive. I believe great products are built when analytical precision meets user-first thinking.
At Shopee, I contributed to data-powered features in a fast-paced e-commerce environment. At MINDEF, I focus on developing secure, reliable systems with meaningful impact. My technical toolkit spans Python, SQL, React, and modern data science frameworks.
Outside of work, I’m usually out for a run, discovering new music, or tinkering with side projects that blend code, creativity, and curiosity.
Experience
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2023 — Present Data Scientist · MINDEF
Driving data science projects at MINDEF/SAF, I enhance decision-making in policy, operations, and resource management. I manage all project phases, ensuring quality and technical precision, while collaborating with stakeholders to deliver actionable insights and communicate complex findings to both technical teams and senior decision-makers.
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2019 — 2022 Data Scientist · Shopee
Leveraging expertise in data science and engineering, I develop cutting-edge machine translation models at Shopee, optimizing AI-driven solutions to improve multilingual communication. By analyzing large datasets, I enhance translation accuracy, facilitating seamless cross-border commerce. My work helps deliver an exceptional user experience, driving growth and engagement in Shopee’s global marketplace.
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May — August 2018 Data Science Intern · DSO
Introduced and implemented a deep learning technique, the Deep Markov Model, to predict soldiers' internal body temperatures and identify those at high risk of heat-related injuries in real-time. Using PyTorch, I experimented with model variations to optimize performance with minimal supervision.
Projects
Education
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2019 — 2021 National University Singapore (NUS) · Graduate
Masters Degree in Computer Science
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2015 — 2019 National University Singapore (NUS) · Bachelors
Bachelor of Science (B.Sc) (Hons), Applied Mathematics with specialization in Mathematical Modelling and Data Analysis, Second Major in Statistics
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2011 — 2012 Anglo-Chinese Junior College (ACJC) · GCE A-Level
Pre-university Student