“From data to decisions — bridging analytics, finance, and real-world impact.”
WHEN Curiosity Meets Quant....
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A data analyst from Taiwan with a background in finance and experience across consulting, healthcare technology, and e-commerce, including Ernst & Young, where I worked on risk analytics and the LIBOR to SOFR transition.
Curiosity in artificial intelligence led me to self-learn programming and transition into data analytics and machine learning, building a strong foundation in Python and quantitative modeling.
With over three years of professional experience, I pursued a Master’s degree in Mathematical Finance and Financial Technology at Boston University, where I was awarded a scholarship.
My work now focuses on quantitative finance, machine learning, and data-driven modeling to uncover patterns, generate alpha, and support better decision-making.
Education.
2024.09 - 2026.01
Master of Science
Boston University, Questrom School of Business
Mathematical Finance & Financial Technology
Through coursework in machine learning and financial data analysis, I built a strong foundation in quantitative modeling and developed a deep interest in applying data to real-world financial problems, which led me to develop projects in backtesting, statistical arbitrage, and machine learning–based alpha models, with selected work presented at the Research Expo.
2016.02 - 2018.02
Bachelor of Business Administration
Ming Chuan University
Teaching Assistant
During my time at Ming Chuan University, I worked as a Teaching Assistant for Accounting and Statistics, supporting students by tracking their progress, designing study plans, and helping them overcome academic challenges. By simplifying complex concepts and guiding them through assignments and exam preparation, I improved their understanding while strengthening my ability to communicate data-driven insights clearly and effectively.
2015.09 - 2019.06
Bachelor of Business Administration
Ming Chuan University
Finance
My interest in data and finance began during my undergraduate studies at Ming Chuan University, where I studied Finance and worked as a Teaching Assistant in Accounting and Statistics, strengthening my analytical thinking and ability to communicate complex concepts, which I further developed through a national M&A research competition, applying Python and statistical methods to evaluate company performance, assess risk, and support valuation analysis.
Professional Journey.
2024.06 - 2026.03
Business Analyst
Volcus LLC
I supported a 10–15 member Taiwan-based team as a part-time Business Analyst at a U.S. toy company, using data to improve marketing performance and decision-making. I identified a 25% performance gap, built structured reporting frameworks, improved decision accuracy by 15–20%, and increased ROI by 10–18%.
2023.09 - 2024.01
Statistics Data Analyst Intern
Cofit Healthcare Inc.
Working with large-scale healthcare data, I built ETL pipelines and interactive dashboards to turn raw data into actionable insights. These improvements increased data accuracy by 35%, reduced processing time by 33%, and supported faster, more reliable decisions for over 100K users.
2021.11 - 2022.11
Ernst & Young
Quantitative Risk Analyst
In a global risk environment, I developed valuation datasets and automated reporting workflows to support enterprise risk analysis and regulatory reporting. In addition, I led and mentored interns on data and reporting tasks, streamlining workflows and improving overall team productivity. My work improved reporting efficiency by ~30% and enabled data-driven decisions in pricing, valuation, and risk management.
2019.06 - 2021.10
Nan Chong Hong LTD
Sales Assistant
My early experience in a retail environment exposed me to the impact of data on business performance. By analyzing ERP and sales data and supporting B2B marketing initiatives, I helped drive ~15% revenue growth and improve customer engagement across major channels.