Michelle Fong
People Data Scientist
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolMichelle Fong is a People Data Scientist in the San Francisco Bay Area with 11 years of experience turning HR and organizational data into actionable insights using statistical modeling, machine learning, and end-to-end analytics. She has applied Python, R, and SQL across roles at Mercer—where she built models to explain pay, turnover, promotions, and performance—and now at Atlassian, focusing on people analytics at scale. Her background blends academic rigor from UC Berkeley in Statistics and Economics with practical public-sector and research experience, including a published contribution to COVID-19 testing strategy work. Michelle also has cross-functional experience partnering with transit agencies and healthcare-economics teams, reflecting a talent for translating complex analyses into policy and business decisions.
11 years of coding experience
4 years of employment as a software developer
Bachelor's degree, Statistics & Economics, Bachelor's degree, Statistics & Economics at University of California, Berkeley
Github Skills (64)
hint10
timepicker10
dynamic-forms10
javascript10
twitter-bootstrap10
mod-manager10
buttons10
widgets10
multiselect10
overflow10
typescript10
right-to-left10
collapse10
modals10
typeahead10
Programming languages (3)
Github contributions (5)
ashleywillard/healthy-eff
Feb 2015 - Nov 2015
Contributions:354 commits, 201 pushes, 11 branches in 8 months
mijelin/angular-eslint
Oct 2020 - Apr 2023
:sparkles: Monorepo for all the tooling related to using ESLint with Angular
Contributions:5 pushes, 5 branches in 2 years 7 months
monorepoeslintangularsparklesstylelint
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