Measured engagement of students on VLE platforms and curated a dataset with relevant parameters

Predicted students risk of dropping out by creating a Machine Learning Pipeline that used models like Random Forest Classifier and K‑means Clustering.

in‑house Frost Insights tool for data analysis on k‑12 students in the US.

Supervisor: Dr. Ashutosh Bhatia