Applied AI
Turning advances in AI into products and workflows people can actually use, with a clear view of cost, reliability, and adoption.

DATA SCIENCE · AI · DECISION SYSTEMS
I'm Ngô Túc Hòa. I explore how AI, machine learning, and strong data foundations can improve the decisions that matter.
ExploreModels are improving quickly. Turning them into reliable decisions inside real organizations remains difficult.
The challenge is rarely one algorithm. It is the complete loop: trusted data, relevant context, thoughtful modeling, clear controls, and human judgment.
My background spans financial engineering, banking, fintech, and production machine learning. The recurring question behind my work is simple: how do we turn better intelligence into better decisions?
Today, I'm especially interested in AI agents, cost-efficient AI systems, data governance for enterprise AI, and tools that make advanced technology more accessible.
MSc Financial Engineering
JVN Institute · Vietnam National University HCMC
Turning advances in AI into products and workflows people can actually use, with a clear view of cost, reliability, and adoption.
Building data-driven decisions for credit risk, fraud detection, customer analytics, and other high-stakes environments.
Connecting governance, semantic layers, MLOps, and knowledge systems so AI can move beyond the prototype stage.
Credit & Risk
Credit scoring, income prediction, model validation, and Basel risk models designed around business decisions—not model scores alone.
Fraud & Payments
Fraud and risk modeling for digital payment flows, combining analytical rigor with the operational speed required in production.
Customer & Growth
Customer analytics, churn, forecasting, and segmentation that translate complex patterns into actions teams can understand.
06 — Contact