Hello, I’m
Terence
Tao
Data scientist — I make machine learning earn its keep in real products.
For over a decade I’ve built models that price things, value things, and predict what people will do next — and kept them accurate, explainable, and trusted long after launch.
What I do
Three kinds of useful.
Production ML
Forecasting, valuation, and behavioral prediction models, owned end to end — from the data pipeline through retraining, monitoring, and the unglamorous work that keeps a model alive in year three.
Models people trust
Explainability and validation as first-class work: SHAP-based explanations and evidence a non-technical stakeholder can actually read, because a model nobody trusts is a model nobody uses.
Analysis that decides things
Segmentation, clustering, and ad-hoc investigations that turn a vague business question into a scoped answer — plus the dashboards that let people explore it themselves.
About me
Beyond the day job
The part of data science I care about most is what happens after a model ships — whether people trust it, whether it stays honest, and whether retraining it is routine or an adventure.
Off the clock I build small software tools for myself, and I speak Cantonese, Mandarin, and English — plus just enough Japanese to order dinner and mostly get what I asked for.
“Good models earn their keep after the notebook closes.”
Let’s be friends
Have a data problem you’re turning over?
I like other people’s puzzles — a model that won’t behave, a “do we even have the data for this” question, a side project that needs a sanity check. If it’s interesting, I’m in.