Taiwan-based accounting and data professional building tools for audit analytics, technology risk, data governance, and financial systems.
My work focuses on turning financial, operational, and system data into structured evidence, risk insights, dashboards, and decision-ready reports.
- Audit Analytics & Internal Control Evidence
- Technology Risk / Endpoint Reliability
- Data Engineering for Financial Systems
- Financial Data Analysis & Reporting Automation
- Quantitative Research & Market Data Infrastructure
- Python data analysis with Pandas and NumPy
- SQL-based data validation and reconciliation
- Financial statement analysis and metric design
- Dashboard and reporting workflows
- Evidence collection and documentation
- Internal control and compliance-oriented workflows
- Incident timeline reconstruction
- Policy-gated decision and remediation logic
- API integration and data ingestion pipelines
- ETL / ELT workflows for structured datasets
- Docker-based development environments
- FastAPI, PostgreSQL, and automation scripts
A local-first Windows endpoint evidence and technology risk toolkit that diagnoses proxy-related network incidents and turns system signals into audit-ready reports.
Key features:
- WinINET / WinHTTP proxy drift detection
- Registry and localhost listener evidence collection
- Direct vs proxied network path validation
- Incident timeline reconstruction
- Policy-gated remediation previews
- Hash-chained audit logs and replayable incident data
Focus: Technology Risk, IT Audit, Endpoint Reliability, Governance
A production-style data engineering project built around Binance market data.
Key features:
- Historical and real-time market data ingestion
- Bronze / Silver / Gold data layers
- PostgreSQL serving tables
- Retry, backoff, and idempotent writes
- Backtesting with Sharpe ratio and maximum drawdown
- Docker Compose and CLI workflow
Focus: Data Engineering, Financial Markets, Quant Infrastructure
A financial data analysis tool for turning raw financial statements into structured business insights.
Key features:
- Revenue and margin trend analysis
- Profitability and liquidity metrics
- Risk indicator extraction
- Visualization-ready outputs
- Accounting-to-analytics workflow design
Focus: Audit Analytics, Financial Analysis, Reporting Automation
Some of my technical learning comes from studying, modifying, and extending open-source projects.
When working with existing projects, I focus on:
- Understanding architecture and data flow
- Customizing configuration and business logic
- Testing API behavior and execution workflows
- Improving documentation and setup clarity
- Connecting technical behavior to risk and control implications
I am looking for roles where accounting, data, systems, and risk intersect, especially in:
- Audit Analytics
- Technology Risk / IT Audit
- Data Governance
- Financial Data Engineering
- FinTech / Market Infrastructure
Long term, I aim to build decision systems that help teams make better financial, operational, and risk-based decisions using reliable data and evidence.
My long-term goal is to build data-driven decision systems that improve how organizations understand financial risk, operational performance, and technology controls.
By combining accounting knowledge with data engineering, analytics, and risk thinking, I aim to help organizations produce more reliable evidence, stronger governance, and better business decisions.
I aspire to contribute to international organizations in the United Kingdom or the United States, where I can work on large-scale financial platforms, regulatory technology, audit analytics, and data infrastructure while continuing to grow as a global technology and risk professional.