The objective of this project is to create a Business Intelligence platform that analyzes employee performance and HR data to monitor productivity and predict attrition trends. The system will support strategic workforce planning and data-driven human resource management decisions.
Collect HR datasets including employee demographics, attendance, performance ratings, and attrition records.
Perform data cleaning and normalization.
Design a dimensional model for HR analytics.
Load structured data into a BI tool and create visual dashboards.
Develop KPI reports such as employee turnover rate, department productivity, and absenteeism trends.
Implement classification models to predict employee attrition probability.
Compare department-wise engagement levels.
Create drill-down analytics for managerial decision-making.
Validate predictive models using evaluation metrics.
Ensure ethical handling of employee data.
Document insights and provide strategic recommendations for workforce optimization.
