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