Caitlin Mowdy
Data Scientist
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolCaitlin Mowdy is a data scientist based in San Francisco with nine years of experience turning user, site, media, and transactional data into actionable product and marketing decisions. She combines a strong mathematics background with hands-on analytics—building ETL scripts, automated reporting, dashboards, and user segmentation models for clients like The North Face, Delta Dental, and Peet’s Coffee. Her practical work spans clustering and recommendation engines informed by experience with topic modeling and supervised/unsupervised methods from a General Assembly capstone scraping Hostelworld. At Dentsu she focuses on deriving user profiles and communication strategies, automating campaign reporting, and translating insights into client-facing deliverables. Known for bridging rigorous quantitative thinking with clear storytelling, she often surfaces non-obvious segment distinctions that shape campaign tactics. Caitlin’s blend of math tutoring roots and production analytics gives her a rare mix of pedagogical clarity and operational discipline.
9 years of coding experience
Data Science, Data Science at General AssemblyBachelor's Degree, Mathematics, Bachelor's Degree, Mathematics at Oklahoma State UniversityGithub contributions (5)
caitlinmowdy/DSI-SF-2-caitlinmowdy
Jul 2016 - Nov 2016
Contributions:63 commits, 62 pushes, 1 branch in 3 months
caitlinmowdy/DSI-SF-2-capstone
Jul 2016 - Nov 2016
Contributions:27 pushes, 1 branch in 3 months
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