Onboard AI/ML and statistics-based analytics to model learning outcome, identify financial assistance
effectiveness, and
score prediction for a leading Management University in Singapore
Develop models to forecast future performance of students for elective subjects based on Student profile. Find most deserving students for financial assistance based on the profiles that shows maximum academic improvements
Onboard analytics function across multiple departments Build various models using Logistic regression, ANOVA and Heuristic simulation Achieved all mission parameters Achieved over 85% accuracy
Build and deploy end to end solution and identify the right-fit technology and architecture Identify datasets and algorithms for meeting customer requirements
MS SQL Server Database
Anaconda Python analytics environment
Jupyter notebooks
Qliksense
Microsoft Windows Server