Summary
Brad London is a data professional with over a decade of hands-on experience transforming messy inputs into reliable datasets and actionable analysis, currently serving as Data Analyst 2 at CareOregon in Portland. His background spans healthcare data migrations (Epic and other EHRs), database and inventory analytics at enterprise firms like Dell and CDK, and process automation using SQL, Excel tools, APIs, and HL7/Mirth interfaces. With a Master’s in Statistics and practical software training in Android/Java, he blends rigorous quantitative skills with pragmatic tooling to improve data quality and reporting across departments. Brad has repeatedly improved operational workflows—building database conversion pipelines, QA checks, and tooling that reduced manual effort and errors—demonstrating an eye for both detail and scalable process. He values cross-team collaboration and data stewardship, and prefers tackling large, messy datasets where domain knowledge and persistence unlock insight. Although his GitHub profile is modest, his career shows sustained impact in production data work and complex migrations often overlooked in résumé highlights.
10 years of coding experience
1 year of employment as a software developer
University of Georgia
Master's degree, Statistics, Master's degree, Statistics at Portland State University
Android/Java, Android/Java at Epicodus