I grew up in a developing city in Vietnam, where the internet sparked my early interest in science and technology. After moving to the U.S. for college, I majored in Physics, interned at CERN, and unexpectedly found myself falling in love with data and programming.
That curiosity led me to pursue a master's in Statistics and Applied Mathematics, with a concentration in Mathematical Finance. Since then, I've worked in the fast-paced finance industry, building data operations tools that power critical workflows—from reference data automation to error tracking and governance. My focus is always on speed, accuracy, and delivering high-impact results where they matter most.
I enjoy building clean, scalable systems that make people's jobs easier. Whether it's processing reference data for trading systems or creating dashboards for researchers, I focus on solutions that are fast, reliable, and grounded in logic.
🐶 Outside of work, I'm usually hanging out with my corgi and red heeler—who keep me on my toes and off my laptop.
🌐 Dual citizen (Vietnam/US) | Currently based in NYC
Python • MySQL • R • Excel • SPSS • Tableau • Power BI • HTML • Javascript • C#
2025 - present
Data Ops.
2021 - 2025
Led a team of data stewards in optimizing data processes, automating tasks with Python and SQL, and ensuring compliance reporting with Power BI.
2020 - 2021
Programmed game-like cognitive experiments in Python, JS and Unity. Automated subject filtering and data aggregation.
2018 - 2020
Obtained a Master's Degree in Statistics and Applied Math with a concentration in Mathematical Finance. Fell in love with Probability Theory and Stochastic Methods.
2017 - 2017
Designed statistical methodologies, processed 10K NASA data for gamma-ray bursts research, and developed an R clustering model.
2014 - 2018
Obtained a Bachelor's Degree in Physics and got the habit of waking up at 5 a.m. for the rowing team.