Matt Patton
Data Scientist
Baltimore, Maryland, United States
Summary
👤
Senior🎓
Top SchoolMatt Patton is a data scientist with 15+ years building quantitative solutions in digital advertising and 11 years of focused industry experience across roles at Advertising.com/AOL/Verizon, Google, and now Cash App. He combines deep technical chops—complex SQL, Python ML, and automation work on notable open-source tooling like HashiCorp's Packer—with product and measurement leadership that helped launch early scaled remarketing and pay-per-conversion models. Mentored by industry pioneers, he has repeatedly solved high-stakes attribution and optimization problems that influenced product strategy and client outcomes. Unusually for a technologist, he also holds a cum laude J.D. in Intellectual Property Law, bringing legal and IP perspective to technical product decisions. Based in Baltimore, he excels at turning messy measurement challenges into digestible data stories and reliable production systems.
10 years of coding experience
5 years of employment as a software developer
J.D. cum laude Intellectual Property Law, J.D. cum laude Intellectual Property Law at University of Baltimore School of LawBachelor of Science (B.S.) Engineering Electrical Engineering/Computer Engineering, Bachelor of Science (B.S.) Engineering Electrical Engineering/Computer Engineering at Loyola University Maryland
Github Skills (13)
sh10
bash10
script10
shell10
cross-platform10
multiplatform10
scripting10
build-automation10
cicd10
cygwin9
go9
docker6
dockers6
Programming languages (13)
Github contributions (5)
hashicorp/packer
Jan 2017 - May 2018
Packer is a tool for creating identical machine images for multiple platforms from a single source configuration.
Role in this project:
DevOps Engineer & Automation Engineer
DevOps Engineer & Automation EngineerContributions:28 commits, 8 PRs, 64 comments in 1 year 3 months
Contributions summary:Matt's contributions primarily focus on improving the build and automation processes within the Packer project. They addressed issues related to file handling, ensuring proper line endings and handling build environments, especially concerning Cygwin. Key changes include modifying build scripts to accommodate different operating systems, incorporating error handling, and standardizing configurations. These changes indicate a focus on streamlining the build process and enhancing cross-platform compatibility.
vagrantplatformslinuxpackerdocker
tb3088/aws-cli
Dec 2018 - Nov 2022
Universal Command Line Interface for Amazon Web Services
Contributions:8 pushes, 16 branches, 1 tag in 3 years 11 months
aws-clicommand-line-interfaceamazonweb-servicesamazon-web-services
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