Lea Frank
Data Scientist
Belmont, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolLea Frank is a Business Data Scientist with eight years of quantitative research and industry experience, recently focusing on marketing experimentation and causal inference at the Los Angeles Times and WHOOP. She designs and scales A/B testing programs, led multiple observational studies using methods like regression discontinuity and Bayesian structural time-series, and built an XGBoost churn model achieving ~83% accuracy. Lea routinely translates complex analyses into stakeholder-ready tools—authoring interactive Shiny dashboards and prototypes such as an AB-testing chatbot that blends prompt engineering and retrieval-augmented generation. With a PhD in cognitive neuroscience, she brings rigorous experimental design and neuroimaging pipeline automation experience to product-focused analytics, helping teams double testing velocity and unlock multi-million dollar revenue impact.
8 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD, Cognitive Neuroscience / Psychology, Doctor of Philosophy - PhD, Cognitive Neuroscience / Psychology at University of OregonBachelor of Arts, Psychology, Bachelor of Arts, Psychology at Marist CollegeRamsey High School
Github Skills (11)
capstone5
functional-programming4
visualization4
data-visualization3
science3
react2
data-science2
machine-learning2
javascript2
python2
visualizations1
Programming languages (1)
Github contributions (5)
lfrank14/finalproj
Feb 2019 - Jan 2022
Material for my final data visualization project
Contributions:1 PR, 1 push, 1 branch in 2 years 11 months
data-visualization-projectdata-visualizationvisualization
lfrank14/profesh
Jun 2021 - Oct 2022
My portfolio website
Contributions:31 PRs, 39 pushes, 16 branches in 1 year 4 months
javascriptreact
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