Summary
Peter Linton is a data scientist with 11 years of experience applying statistical rigor and production-grade data engineering to federal and defense programs across Washington, D.C. He combines a strong academic foundation (MS in Mathematical Statistics, 3.97 GPA) with hands-on work in Databricks, PostgreSQL, R, Qlik, and DevOps-style ML deployment on DoD and State Department contracts. Peter has moved between roles as a statistician, analyst, and developer—designing sampling methodologies for payment integrity, building Certify backend reports, and creating cybersecurity monitoring pipelines—so he bridges research-grade methods and operational analytics. He is adept at translating complex requirements for SES-level stakeholders while managing sprint cycles and dashboard UX for decision-makers. An understated strength is his background in experimental design and tolerance-interval computations from national lab work, which informs robust model validation in high-stakes environments.
11 years of coding experience
3 years of employment as a software developer
UMBC
Bachelor of Arts (B.A.), Mathematics, Music, Bachelor of Arts (B.A.), Mathematics, Music at Connecticut College
High School diploma, 2005, High School diploma, 2005 at Oakland Mills High School