Chris Pleasants
Senior Data Scientist
Atlanta, Georgia, United States
Summary
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Senior🎓
Top SchoolChris Pleasants is a Senior Data Scientist based in Atlanta with five years of experience building production ML systems and translating complex problems into practical, customer-facing solutions. He has driven novel AI features at Microsoft—helping design Excel Copilot with early agent and retrieval-augmented approaches—supported government modernization at the United States Digital Service, and led full-stack fraud-detection models at Featurespace. Comfortable across the ML lifecycle from evaluation and experiment design to deployment and monitoring, he blends rigorous applied statistics (MA in Applied Statistics) with hands-on engineering. A former teacher and evaluator, Chris brings a user-centered, equity-minded perspective to data work and a taste for tackling problems where ML hasn’t been applied before.
5 years of coding experience
14 years of employment as a software developer
MA Applied Statistics (Evaluation Studies), MA Applied Statistics (Evaluation Studies) at University of MinnesotaPost-Baccalaureate Certificate Math & Math Education (5-12), Post-Baccalaureate Certificate Math & Math Education (5-12) at Western Governors University
spanish - moderately
Github Skills (1)
hl710
Programming languages (1)
Github contributions (2)
cglodosky/prime-data-hub
Jan 2021 - Jan 2021
Contributions:1 release, 2 PRs, 2 pushes in 1 day
CDCgov/prime-reportstream
Nov 2020 - Apr 2021
ReportStream is a public intermediary tool for delivery of data between different parts of the healthcare ecosystem.
Contributions:76 reviews, 229 commits, 200 PRs in 4 months
civic-techfhirhl7public-health
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