
The Data Mine, Purdue University
Graduate Data Science Researcher
Contributing to QSTEPS AI-Enablement, a Purdue Data Mine project with Johnson & Johnson as corporate partner, where I'm helping define and plan improvements to a manual scheduling and coordination workflow as part of the Package Generation team.
Collaborating with Johnson & Johnson mentors on the QSTEPS AI-Enablement project as part of the Package Generation team, focused on improving a manual scheduling and coordination workflow.
Authored PRD sections defining the problem statement, primary user, project scope, and success metrics, giving the team a shared definition of what the project should solve.
Developed TSD sections covering phased implementation, data and systems touched, and error handling and fallback procedures.
Working in GitHub and Jupyter Notebook to collaborate on project work with the team.


