Finance analyst who builds his own tools. I combine valuation & market analysis with the ability to turn raw data into dashboards and research — across equities, derivatives, and on-chain markets.
- 🎓 BBA Finance @ Burapha University (GPA 3.49, grad Mar 2027)
- 📜 AISA (SEC-recognized investment analyst qualification) · IC Complex 1 — all modules passed
- 📊 Coursework: Advanced Derivatives, Econometrics, Portfolio Management
- 🎯 Focus: equity & derivatives analysis, valuation, and quantitative market research
- 🌏 Chonburi, Thailand
Finance domain knowledge, applied in code.
| Project | What it does | Stack |
|---|---|---|
| 📈 Pair Trading System | Statistical-arbitrage engine — cointegration screening, z-score signals, backtest of market-neutral spreads. | TypeScript Quant |
| 🧮 Options Analytics | Derivatives dashboard — Greeks, payoff diagrams, and implied-volatility surface. | TypeScript React |
| 📊 Spread Dashboard | Yield-spread & rate-differential monitor to gauge risk-on/off regimes. | Python |
| 🖥️ Pulse Terminal | Bloomberg-style macro market terminal with an MCP-first data architecture. | Next.js Node |
| 💼 WealthBoard | Personal wealth-tracking & portfolio dashboard. | Next.js shadcn/ui |
| 📚 AISA Flashcards | 880+ interactive cards across 11 decks for the AISA analyst exam. | HTML/JS |
- Valuation & Analysis — DCF/FCFF/FCFE, relative valuation, financial-statement & scenario analysis
- Products — equities, mutual funds, fixed income, derivatives (SSF, options); suitability & asset allocation
- Quant & Data — Python (Pandas), Advanced Excel/Google Sheets, basic SQL, backtesting
- On-chain edge — flows, TVL, stablecoin liquidity, exchange in/out-flows as an added market lens
Finance tooling: MT4/MT5 · Advanced Excel / Google Sheets · DeFiLlama · Dune (basic SQL)



