FamilyMart Data Analyst | NTU Econ MA | Retail analytics, quant research, ML, and knowledge workflows.
I work on retail data analytics and use side projects to explore Taiwan equity research, machine learning, statistical modeling, and practical data products.
- Knowledge Base / GitHub Pages: yuhsunwang.github.io/knowledge-base-pages
- Workflow: Obsidian + MkDocs + Claude Code + Codex + Hermes + beads
I maintain a public knowledge base for research notes, side projects, and learning records. Notes are drafted in Obsidian, published with MkDocs, and maintained with an AI-assisted workflow.
Knowledge Base Notes
- Trading Research: Taiwan equity strategies, backtesting, risk metrics, and market observations
- Machine Learning: modeling workflows, statistical inference, and data analysis practice
- Industry Research: passive components and other industry research notes
- AI Engineering Notes: learning notes on RAG, agents, MCP, prompt engineering, and LLM evaluation
Current Project Focus
- Financial data analysis, backtesting, and strategy research
- Machine learning modeling and data visualization
- Maintaining a knowledge base that connects notes, research, and coding projects
Analysis & Modeling
Visualization & BI
Databases & Tools
Taiwan equity strategy research with financial data analysis, backtesting, and trading signal evaluation.
Bayesian MCMC preference model using Metropolis-Hastings to estimate browsing preferences, diversity preference, and switching costs.
Convenience store food review analysis using PTT CVS posts, sentiment scoring, credibility weighting, and product ranking.
A TOEIC practice PWA built with React, Vite, and Gemini API for exercise generation and learning feedback.
Financial engineering notes and Python implementations for Black-Scholes pricing, Monte Carlo simulation, and risk metrics.
