iabac-project

The following insights are expected from this project. 1. Department wise performances 2. Top 3 Important Factors effecting employee performance 3. A trained model which can predict the employee performance based on factors as inputs. This will be used to hire employees 4. Recommendations to improve the employee performance based on insights from C

IABAC Certified Data Scientist capstone (Project 10281) — predicts employee performance at INX Future Inc. using two purpose-built models: a hiring-safe model (candidate-only features) and a diagnostic model (full workforce data) to identify top performance drivers. Random Forest + XGBoost, scikit-learn.

INX Future Inc employee performance prediction engine using Random Forest with SMOTE handling, department-level analytics, and IABAC Project Code 10281 deliverables.