Information systems × financial data analysis × Taiwan equity research tooling

I have a background in information technology and management, with a growing portfolio focused on information systems, data analysis, and financial research tooling.

My current work explores how software engineering practices can make financial research more reproducible, transparent, and easier to review. I am especially interested in FinTech, financial data analytics, financial MA programs, and product or analyst roles where technical implementation connects with business and market understanding.

A Taiwan equity research and Streamlit decision-support project for studying factor signals, data quality, backtesting assumptions, and reproducible research workflows.

Repository:
taiwan-stock-analyzer

Project Focus

• Taiwan equity data analysis and factor research workflow
• Streamlit dashboards for market review, factor screening, and portfolio risk exploration
• Reproducible pipeline design with snapshot-oriented data handling
• T+1 backtest execution assumptions and testing
• Bias awareness, including look-ahead bias, survivorship bias, data leakage, and selection bias
• IC / ICIR analysis for evaluating factor signal behavior

Current Status

• Phase 1 V1 pilot completed as a methodology and infrastructure prototype
• Full-market study is in development
• Fama-MacBeth regression and Walk-Forward validation are planned / in-development extensions within the broader research roadmap
• The project is intended as a research tooling and portfolio demonstration, not an investment performance showcase

Programming & Data

• Python
• SQL / SQLite
• pandas / NumPy
• pytest
• Git / GitHub

Financial Data Analysis

• Equity market data analysis
• Factor research workflow
• Backtesting assumptions
• Data validation and quality checks
• Financial statement and institutional flow data

Application & Tooling

• Streamlit
• Plotly / Matplotlib
• Dashboard prototyping
• Research pipeline documentation
• Reproducible analysis workflows

I am building projects around the intersection of information systems, financial data, and applied research tooling.

Current focus areas:

• Taiwan equity research infrastructure
• Financial data quality and validation
• Reproducible research pipelines
• Backtesting mechanics and assumption checks
• Streamlit-based decision-support tools
• Portfolio analytics and risk exploration
• FinTech product and data workflows

I am currently strengthening my portfolio for opportunities in:

• FinTech product or analyst roles
• Financial management associate programs
• Data analyst roles
• Business analyst roles
• Financial research support roles

Near-term learning goals:

• Full-market Taiwan equity data workflow
• More robust out-of-sample validation
• Financial data engineering
• Research-oriented dashboard design
• Clearer deployment and demo presentation for analytical applications

The financial research projects shown here are for academic research, learning, and portfolio demonstration only. They are not investment advice and should not be interpreted as trading recommendations.