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. The code is private; the research notes, backtests, and results are published in the knowledge base.

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.