Product Overview

The HAU Prediction System was designed as an internal back-office platform for the Graduate School of Holy Angel University. Its purpose is to translate institutional data into predictive insights using AI models, supporting data-driven academic planning and policy decisions. Unlike a commercial dashboard focused on revenue, this system prioritizes educational forecasting and strategic planning.
The Graduate School needed a way to:

Analyze historical enrollment and employment data
Forecast employment outcomes of graduates
Monitor trends across academic periods
Support leadership decisions with predictive insights

The system acts as a centralized analytics and prediction hub for administrators.

These projects were designed and developed by me as part of my professional roles. All copyrights remain with their respective companies and clients. No copyright infringement intended.