Portfolio

My deck

I do research analysis and build AI systems that stay grounded in real finance work.

My base layer is institutional: retail research work at Vietcap, credit-process work at BIDV, and award-winning academic paper during college. The portfolio grows out of that training: casefiles, dashboards, GitHub builds, and interactive notes that make analysis easier to run, review, and explain.

Current seat Research Analyst @ Vietcap Securities

I support retail coverage, financial modelling, and listing notes

Institutional base Vietcap, BIDV, and UEH

I bring together sell-side coverage work, credit-process discipline, and academic research on volatility, sentiment, and alternative data.

Proof stack Fastest read on the operating edge
  • 5 namesI support bottom-up research and recommendation work with the Vietcap retail team
  • 7+ management touchpointsI synthesize AGM and earnings-call updates into cleaner decision notes
  • 5+ open-source projectsI built monitoring, dashboard, and memo-prep systems for my work and my own research
  • Top 10% finance graduateI finished UEH ISB with Scholar research awards
Best fit Research roles where data and insights matter

I fit best in analyst, quant-adjacent, and finance-product roles where better dashboards, automation, and documentation improve decision quality.

Engineer work where systems and automation are the product

I excel in tasks where I can tackle complex problems with a systems-first mindset, building tools that streamline workflows and optimize processes.

Route board

Support rails

Fit map

Profile

See how consumer coverage, crypto market work, Vietnam-market products, and research automation fit together as one operating profile.

Capability shelf

Skills

Financial analysis, blockchain research, quantitative finance, and business-intelligence tools grouped by the work they actually unlock.

Desk loop

01 Observe

Track company updates, BTC structure, market breadth, and macro pressure with monitors, dashboards, and recurring notes.

Outputs: coverage checks, dashboard reads, weekly market updates
02 Interpret

Turn raw information into explicit thesis language, model updates, phase calls, and risk cues that can survive review.

Outputs: recommendation support, framework notes, pricing assumptions
03 Build

Ship surfaces that reduce research drag: VNIBB, the crypto dashboard, the option-pricing app, and AI-assisted monitoring workflows.

Outputs: products, dashboards, automation, implementation docs
04 Reuse

Fold every output back into casefiles, operating notes, and the next review cycle so the work compounds instead of disappearing.

Outputs: casefiles, research notes, reusable templates

See also