Faye Chen is a Manufacturing Data Analyst based in the San Francisco Bay Area with a decade of technical experience and over five years focused on quantitative analysis, predictive modeling, and statistical learning. She combines strong programming skills in R, Python, and SQL with advanced experimental design and simulation experience developed during MS degrees in Statistics and Physics from Rice University. At Intuitive Surgical she applies data-driven methods to manufacturing problems, leveraging a research background that includes Monte Carlo simulations in C, X-ray diffraction analysis, and published work presented at international conferences. Known for interdisciplinary collaboration, Faye has improved lab and inventory systems through clear communication and process design—an indication she excels at turning complex analytic insights into operational improvements.
10 years of coding experience
6 years of employment as a software developer
MS, Statistics, 3.86, MS, Statistics, 3.86 at Rice University
BS, Physics, 3.5, BS, Physics, 3.5 at National Tsing Hua University
Python tools to quantitatively manage financial risk
Contributions:108 commits in 1 month
financialstock-marketpythonriskpython-tools
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.