Advanced Student Enrollment Predictive Modeling Pipeline

Build a comprehensive Python-based predictive modeling system that ingests historical student enrollment data from Excel spreadsheets, performs multi-dimensional statistical analysis, and generates enrollment forecasts. Utilize machine learning libraries like scikit-learn for regression modeling, implement feature engineering techniques to extract meaningful predictors, and create an automated reporting system that highlights potential enrollment trends and anomalies.