Calvin Carter
Jr. Data Scientist, Marketing
San Francisco, California, United States
Summary
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Senior🎓
Top SchoolCalvin Carter is a data scientist with eight years of experience who blends rigorous statistical training from UC Berkeley (MA Statistics) with practical machine learning applied in industry settings. Currently a Jr. Data Scientist in marketing at CDW, he has built production-ready models such as a U-Net for global lightning interpolation at Sandia with >0.95 AUROC and presented results to technical peers. He has hands-on teaching and curriculum design experience—co-founding a data visualization DeCal that grew enrollment 300% and serving as a GSI for statistical computing—bringing strong communication and reproducible-research practices to cross-functional teams. Comfortable with large-scale projects and R-based tooling, Calvin pairs analytical depth with user-focused storytelling to turn noisy data into actionable insights. Notably, his background spans both community mentorship and frontline team leadership, reflecting an unusual mix of technical, pedagogical, and people skills for an early-career data scientist.
8 years of coding experience
1 year of employment as a software developer
Master of Arts - MA Statistics, Master of Arts - MA Statistics at University of California, BerkeleyHigh School Diploma, High School Diploma at Galt High SchoolAssociate of Science - AS Mathematics, Associate of Science - AS Mathematics at Cosumnes River CollegeGithub contributions (5)
colbycarter/Data_Science_Portfolio
Jun 2018 - Jan 2024
Contributions:38 pushes, 1 branch in 5 years 8 months
kalvinkao/ctr-prediction-with-fm
Dec 2018 - Dec 2018
Contributions:46 commits in 11 days
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