Client Overview

Established in 1939, 9 Administrators | 900 students | 75+ faculty members, 4000+ nurses and midwives graduated with Advanced Practice Degrees

Business Need

Use of ML and algorithms to predict the following:

  • Predicted enrolments (Prediction for each year/ terms in a year)
  • Failing GPA counts
  • Failed grade counts

Key Features

  • Used Time series analysis &  Auto regressive model
  • Built an AWS Sagemaker notebook that:
  • Brings in the data from AWS redshift
  • Trains a custom model
  • Predicts value for next few terms
  • Writes the predicted data to redshift tables

Benefits

  • Logistics Planning for future enrolment
  • Realistic Revenue Projections
  • Better Course Design and Management