Summary
Garrett Johnson is an MS candidate in Data Science with 11 years of analytical and finance-focused experience across healthcare, investment banking, and M&A advisory. He has moved from hands-on scientific research—co-authoring papers and developing microfluidic diagnostics—to modeling complex risk and deal outcomes for clients with portfolios up to $2.5B. Garrett blends quantitative rigor (Excel, Python, actuarial methods) with client-facing communication sharpened in broker negotiations and strategic pitches. His background in economic policy analysis and biotech market assessment gives him a rare interdisciplinary perspective on data-driven decision making. Based in Chicago, he organizes and engages with new media art and technology communities, reflecting an interest in the intersection of art, theory, and computation. Practical and curious, he consistently converts technical work into improved workflows and measurable business impact.
11 years of coding experience
4 years of employment as a software developer
Beechwood High School
Bachelor of Arts - BA Economics, Bachelor of Arts - BA Economics at University of Chicago