Emily Yelverton is an Analytics Manager with eight years of data science and analytics experience across technology, education, and nonprofit sectors, currently leading analytics at MongoDB in New York. She holds an M.S. in Applied Mathematics from Stevens Institute of Technology and is fluent in R and multiple SQL dialects, translating complex data into product and growth insights. Her trajectory from project management and volunteer roles at DataKind to senior analytics positions demonstrates a blend of technical depth and mission-driven leadership. Known for applying rigorous math to real-world problems, she bridges stakeholder strategy with reproducible analysis and scalable measurement frameworks.
7 years of coding experience
10 years of employment as a software developer
Master of Science (M.S.) Applied Mathematics, Master of Science (M.S.) Applied Mathematics at Stevens Institute of Technology
Housing insecurity is a looming crisis in the U.S. Nearly 5 million Americans lose their homes through eviction and foreclosure. Volunteers will derive insights, create visualizations, and recommend action for two U.S. localities - Hillsborough County, FL and NYC.
Contributions:7 reviews, 42 commits, 5 PRs in 5 days
Mar21 DataDive project - By leveraging publicly available data, volunteers will create a data-driven tool that will give community members the ability to analyze risk on properties with known or perceived environmental contamination so that remediation can occur.
Contributions:3 reviews, 24 commits, 4 PRs in 5 days
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