Hi, I'm Li Hui! I live in Singapore and work as a data scientist at Pluang, an Indonesian investment app. I run the product analytics vertical and work directly with C-suite executives to make the platform better for our users.
Outside work, I write, speak and mentor. Once a year, I travel alone to hear stories from the other side of the world.
Uncertainty excites me more than stability. It pushes me to work my hardest at finding a way through.
Next, I want to join a fast-growing AI company, to work closely with its customers and learn from people better than me. If you're building a team in Singapore, I'd love to hear from you.
What I value:
Trust: keep my promises and show up for people
Customer obsession: start from the customer's problem
Craftsmanship: have good taste, sweat the details and take pride in my work
Intensity: aim to be the best and get there by iterating fast
Giving back: help the people around me grow
QueryGPT · AI data analyst in Slack
Problem
Business teams couldn’t write SQL, so routine data questions waited hours for a small data team.
What I did
Built the semantic layer the vendor’s AI analyst lacked: verified metric definitions, business rules, sample queries and aggregated tables.
Result
Saved the data team about 760 hours in under three months, roughly the work of 2 full-time analysts. The C-suite, Finance, Product and Growth teams now use it daily.
Events AI Pipeline · AI-drafted event tracking
Problem
PMs tagged every tap and screen view by hand from Figma, and only 60% of events passed QA.
What I did
Built an AI pipeline that reads the PRD and designs, checks the existing schema and drafts the events for each feature.
Result
Over 95% of events now pass QA, which makes self-serve analytics with AI agents possible.
Platform Retention · first-month churn
Problem
Half of new users who deposited money left within a year.
What I did
Analysed 535K of these users to find who leaves early, and proposed product changes to keep them.
Result
Users who start with US stocks are about 30% more likely to stay a year than those who start with crypto. Users who deposit over $100 in their first month get the same lift over those who deposit less. These findings shaped the Product team’s KPI: a second purchase within 30 days.
Low CSAT Framework · root causes of 1- and 2-star tickets
Problem
A quarter of rated support tickets got 1 or 2 stars, about 500 a month. Each team saw only its own side, so no one connected the product issue, how support handled it and who should fix it.
What I did
Reviewed 100 low-rated tickets as full customer journeys over the 7 days before each rating: chatbot and agent chats, escalations to internal teams and transactions.
Result
67% traced back to four funnels: account security, identity checks (KYC), deposits and withdrawals. Each funnel now has an owner team. 80% were also mishandled, mostly through templated or late agent replies. These tickets became the basis for a new chatbot knowledge base and agent SOP.
June 2025
LetterKey - Seniors couldn’t read their government letters, and centre staff spent up to 2 hours on each one. We dropped our first idea, a kiosk, when seniors said they’d rather use their phones, and built a WhatsApp bot that reads letters aloud in their own languages. A routine case went down to about 30 minutes. Learned to take a product from 0 to 1 and pitch it on stage. Also checked an item off my wishlist: being covered in national newspapers, radio and TV (Mandarin interview). Empower Ageing now carries this mission on.
May 2026
The Good Hack - Organised a hackathon with GoodHub SEA to tackle the problems of an ageing society. Caregivers over 60 were vibe-coding alongside student engineers.
December 2024
Note Buddy - Led our final-year team on an early POC of SingHealth’s clinical digital scribe tool. Voice models were not that advanced then, so the hard part was separating speakers who talked over each other and switched languages mid-sentence. Note Buddy is now used by thousands of healthcare staff in Singapore.
June 2024
Container Load Optimizer - Solved a supply chain optimisation problem in Python at Procter & Gamble, packing containers fuller than the commercial software on 9 of 10 test days. Learned how to read math papers and turn them into code. Realised I prefer working with people more than computers, and that good documentation matters.
January 2024
Student Exchange - Spent half a year living in a culture (and vibe) completely different from Asia's. Travelled around the US and watched my first live NBA game.
May 2023
Resident Assistant - My fondest memories of college, and my first home in Singapore. Organised events that brought local and international students together.
