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Machine Learning Scientist, R&D

Ellucian

Mar 2019 – Jan 2020Virginiawebsite

Built a production prediction model behind a course-scheduling product adopted by the State of Georgia across its higher-education system.

Context

Ellucian builds software for higher education. I worked in research and development on a scheduling product that turned disparate institutional datasets into course schedules for advisors and students.

The work

  • Created a production prediction model in Python forecasting student academic performance. It became the data layer behind the schedule-builder used by advisors and students across institutional customers.
  • Shipped a scheduling product adopted by the State of Georgia across its higher-education system, generating student schedules from state-provided datasets under strict data-handling requirements.
  • Maintained the ML data tables on AWS that supported institutional analytics, including migration and integration across sources.
  • Wrote the client-facing web application, on Flask and FastAPI, that put model output in front of non-technical stakeholders as decisions they could act on.

Why it still matters

This was my first time shipping machine learning to a customer who would never look at the model, only at what it told them.

StackPython, PyTorch, scikit-learn, Flask, FastAPI, AWS