🚧 Portfolio upgrade in progress
I am currently refining my projects, documentation, demos, and case studies around audit analytics, technology risk, data governance, and financial systems.

Taiwan-based accounting and data professional building practical 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.

Positioning: Accounting × Data Analytics × Technology Risk × Financial Systems

• Audit Analytics & Internal Control Evidence
• Technology Risk / IT Audit
• Endpoint Reliability & System Evidence
• 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 workflow design
• Data cleaning and structured evidence preparation

• Evidence collection and documentation
• Internal control and compliance-oriented workflows
• Incident timeline reconstruction
• Control testing logic and risk indicator design
• Policy-gated decision and remediation workflows

• API integration and data ingestion pipelines
• ETL / ELT workflows for structured datasets
• Docker-based development environments
• FastAPI, PostgreSQL, and automation scripts
• CLI-based tools for repeatable analysis and reporting

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

Relevant Areas: Technology Risk, IT Audit, Endpoint Reliability, Governance

A financial market data engineering project built around Binance market data for analytics, backtesting, and structured research workflows.

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

Relevant Areas: 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

Relevant Areas: 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, controls, and governance implications

I treat open-source work as a way to improve my engineering judgment, understand real-world system design, and build stronger technical communication skills.

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
• Reporting Automation

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 am especially interested in contributing to international organizations in the United Kingdom, the United States, and other global markets, particularly in financial platforms, regulatory technology, audit analytics, data infrastructure, and technology risk management.

Accounting foundation. Data engineering mindset. Technology risk focus.

I am building toward a career as a global technology and risk professional who can connect business evidence, financial data, system behavior, and decision-making.

Feel free to connect with me through any of the platforms below.