Erin Grand is a New York–based data scientist with 12 years of experience translating complex observational and organizational data into actionable insights across education, crisis support, and space science. She’s built analytics pipelines and operational dashboards at Uncommon Schools and Crisis Text Line that directly influenced retention and training outcomes, and she automated image processing and data workflows at NASA that produced widely featured scientific imagery. Comfortable moving between research-grade Python/Perl scripting and production analytics, Erin combines academic rigor from dual MS degrees in Astronomy and Data Science with hands-on product delivery. As a recent freelance practitioner, she pairs consultancy flexibility with institutional experience in scaling metrics, cohort analysis, and reporting. A not-obvious strength is her background running observatory pipelines and visualizing high-density gas observations, which informs a practiced eye for data quality and reproducible pipelines.
12 years of coding experience
12 years of employment as a software developer
Master of Science (MS), Data Science, Master of Science (MS), Data Science at Columbia University in the City of New York
Master of Science (MS), Astronomy, Master of Science (MS), Astronomy at University of Maryland
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