This contains code for ORE for doing classification problem like churn (in this case) using:

1. UC1 - Employee Attrition
2. UC2 - Employee Performance
3. UC3 - Employee Profiling
4. UC4 - Payroll Cost
5. UC5 - Renege in Recruitment (Coming Soon)

Data Preparation

AA_SCORE_DATA_PREP_PKG - PLSQL for scoring data (acting as main library) AA_SCORE_DATA_RUN_PRC - PLSQL for scoring data (Calling API)
AA_TRAINING_DATA_PREP_PKG - PLSQL for training data (acting as main library) AA_TRAIN_DATA_RUN_PRC - PLSQL for training data (Calling API)

ORE Model triggering

AA_USECASE_ALGO_LIB_PKG - PLSQL library package for model training AA_USECASE_ALGO_RUN_PKG - PLSQL run package for model training

ORE codes stored in Oracle DB

CLASSRFCHURN - Whole ML workflow for Employee Performance CLASSRFPERF - Whole ML workflow for Employee Performance
CLUSTPROFILE - Clustering on employee data.Used PAM with Silhoutte co-eff to determine cluster.
MODELPERFPRED - Code written to handle on employee performance MODELRFPRED - Code written to handle Random Forest prediction on Churn PAYROLLTS - Time series code to analyse the payroll forecasting