Jefferson Tweed is a healthcare-focused data and analytics leader with 8+ years of progressive experience at Children's Health, now serving as Vice President of Data, Analytics and AI in Dallas. He combines a Master’s in Data Science with hands-on Python development and meaningful open-source contributions—most notably enhancements to the python-o365 library’s SharePoint functionality—to bridge clinical operations and production ML solutions. His background as a paramedic and clinical research coordinator informs a practical, safety-first approach to data-driven improvements in patient care. Known for mentoring teams and improving system efficiency, he excels at turning complex healthcare data into auditable, actionable insights that scale across an enterprise.
8 years of coding experience
9 years of employment as a software developer
Texas Tech University
Master of Science (MS), Data Science, Master of Science (MS), Data Science at Lewis University
Bachelor of Applied Science (BASc), Health/Health Care Administration/Management, Bachelor of Applied Science (BASc), Health/Health Care Administration/Management at Wayland Baptist University
A simple python library to interact with Microsoft Graph and Office 365 API
Role in this project:
Back-end Developer
Contributions:10 commits, 7 PRs, 11 comments in 20 days
Contributions summary:Jefferson focused on enhancing the Sharepoint functionality within the python-o365 library. They implemented features to create, update, and delete Sharepoint list items, including a crosswalk between display and internal column names. Further improvements involved refactoring code to improve efficiency and address feedback, such as adjusting return types. They also contributed to the project's documentation, specifically related to Sharepoint usage.
A simple python library to interact with Microsoft Graph and Office 365 API. Docs: https://o365.github.io/python-o365.
Contributions:16 pushes, 14 branches in 3 years 11 months
python-libraryapio365pythonoffice-365
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