Third-year Data Science student at HUIT. I turn business questions into requirements, metrics and data models – then turn data back into recommendations people can act on.
I study Data Science at Ho Chi Minh City University of Industry and Trade (2024 – present). What I enjoy most is the part between the business and the data: clarifying what people actually need, defining the right KPIs, and checking results carefully before anyone relies on them.
In my student research project I was the Business Analyst & QA Lead: I turned clustering results into personas, risk profiles and 9 rule-based recommendations, and built the dashboard advisors use to look them up.
I'm not a web developer – and this site is proof that I can still ship one. I built it with AI as a pair programmer, and reviewed and tested every part myself (see AI Workflow).
Click any card for the full story: the problem, my role, what I did and the tools I used.
Self-assessed honestly, as a student who has used these in real coursework and research projects.
I study data, not front-end. Instead of spending weeks learning a framework, I used AI as a coding assistant and kept the thinking, decisions and verification for myself. It's the same way I'd use AI as an analyst.
Goal, audience (recruiters), sections, content rules, constraints: one HTML file, no frameworks, mobile-first.
Gave it clear specs and my real project reports as context, then iterated section by section.
Checked every fact against my reports, tested on phone and desktop, light and dark mode, and fixed bugs myself.
Only shared non-confidential, public information with AI tools. Personal and client data stays out of prompts.
I'm looking for a Business Analyst / Data Analyst internship (min. 3 months) in Ho Chi Minh City. I'd love to hear from you.