Quantitative Engineer · Data Scientist
Data science &
quantitative modeling
I build data-driven models and quantitative systems at Goldman Sachs — combining machine learning, statistics, and computational tools to solve complex problems in finance. CFA & FRM charterholder. University of Michigan alumni.
About
Data scientist & lifelong learner
I'm a Quantitative Engineer at Goldman Sachs (Oct 2024 – present), applying machine learning, statistical modeling, and data engineering to build systems that power quantitative investment strategies.
Previously at Citibank for four-plus years, I developed and maintained risk models — working across data pipelines, time series analysis, and scenario simulation at scale.
I hold an MS in Data Science from the University of Michigan, where I focused on deep learning, computational data science, and parallel computing. My BS in Quantitative Finance gave me a strong foundation in mathematics and statistics. I've always been drawn to using computation to extract signal from complex systems.
Education
MS in Data Science
University of Michigan · 2018–2019
BS in Quantitative Finance
University of Michigan · 2016–2018
Interests
History Economy Swimming Snowboarding GuitarProjects
Selected work
View all →-
01
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Stock fundamental analysis
Research framework evaluating equities via earnings, valuation ratios, and balance sheet health to surface long-term opportunities.
Fundamental research -
02
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Smart Meeting Record System
Deep learning pipeline for automatic speaker recognition and voice diarization — identifying who said what across multi-speaker meeting recordings.
Deep learning -
03
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Parallel Computing Recommendation System
CUDA-accelerated user-based collaborative filtering system, leveraging GPU parallelism to significantly speed up similarity computation and recommendation generation at scale.
Parallel computing
Beyond work
A life of exploration
When I'm not modeling risk, I'm exploring — from the canyons of Zion and beaches of the Bahamas to the streets of Chongqing. Travel keeps perspective sharp.
