John Collins
Senior Manager Analytics & Reporting at Legacy Health
Portland, Oregon, United States
Summary
👤
Senior🎓
Top SchoolJohn Collins is a Senior Manager of Analytics & Reporting with 13 years of experience applying mathematics and computer science to healthcare analytics, currently leading population health analytics at Legacy Health in Portland. He progressed from analyst roles to senior management, specializing in extracting subtle patterns from complex healthcare datasets to inform strategic decisions, improve patient outcomes, and optimize resource allocation. His background spans data science, modeling, and decision-support tools—work that began in biotech and research settings and evolved into operational analytics for health systems. An active contributor to open-source tooling, he improved HTML table parsing for the widely used tidyverse/rvest package, demonstrating attention to edge-case data quality that translates into more reliable analytic pipelines. John combines technical rigor (M.S. in Computer Science) with mission-driven focus on equity and practical impact in healthcare.
13 years of coding experience
6 years of employment as a software developer
Master of Science (M.S.), Computer Science, Master of Science (M.S.), Computer Science at San Francisco State UniversityBachelor of Science (B.Sc.), Mathematics, Bachelor of Science (B.Sc.), Mathematics at University College Cork
Github Skills (5)
html10
webscraping10
testthat10
r10
test-automation10
Programming languages (2)
Github contributions (5)
tidyverse/rvest
Nov 2015 - Dec 2015
Simple web scraping for R
Role in this project:
QA Engineer / Test Automation Engineer
QA Engineer / Test Automation EngineerContributions:6 commits, 1 PR, 6 comments in 19 days
Contributions summary:John's primary contribution involves enhancing the `rvest` library's table parsing functionality. They implemented and tested features to correctly parse tables with colspan and rowspan attributes. The work includes writing comprehensive test cases within the `testthat` framework to ensure the robustness and accuracy of the table parsing logic. These changes significantly improved the library's ability to handle complex HTML tables.
scraperweb-scrapingscrapingr
johncollins/metric-learn
May 2013 - May 2013
Contributions:10 commits in 13 days
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