2021 COHORT
I’m currently pursuing my master’s degree in Quantitative Finance & Risk Management at the University of Michigan and have earned my dual bachelor’s degrees in Economics and Applied Mathematics at UC San Diego. My double major background ensures me not only a solid foundation in economic and financial theories, but also proficiency in data analysis tools including Stata, RStudio, and MATLAB, which allows me to perform financial analysis more efficiently. As for programming languages, I’m a skilled user of both Python and Java. Earning my MS in Quant Finance further offers me adequate training to apply my data analysis and coding skills onto a more efficient financial modeling and analysis.
I love exploring the hidden story behind data, so I hope my future career will be strongly relevant to quant research. Therefore, I’m actively seeking opportunities such as quant financial analysis and portfolio management. My work experience at Shepherd Ventures equipped me with hands-on experience analyzing historical stock data and making predictions, as well as using algorithms such as Mean Variance Optimization to construct stock portfolios. I also developed a web-crawler that I harness to download stock data from Yahoo Finance and also a Python pipeline that fully automates our entire “injection” and optimization process.
I consider myself to be a good leader, as I’m able to identify my coworkers’ strengths and weaknesses and assign the most-fit task to each individual. I’m currently leading two projects for my internship and a team of 5 intern analysts in total, and my work includes formulating research directions, overseeing progress in different tracks, hosting weekly meeting and summarizing work reports, and training new interns.
Outside from my school and work, I’m a 10-year fan on Formula-1 Racing. So if you are interested in this extreme sport as well, let’s chat about our favorite drivers and teams! (My favorite driver is Lando Norris from McLaren!)