Hr Analytics To Track Employee Performance

Abstract

Human Resource (HR) Analytics Is Transforming Workforce Management By Enabling Data-driven Decision-making. This Paper Presents An HR Analytics System Designed To Track And Analyze Employee Performance Using A Structured Dataset Comprising Metrics Such As Department, Job Role, Age, Experience, Training Hours, Education, And Performance Ratings. Developed Using Python, Jupyter Notebook, And Power BI, The System Includes Modules For Data Preprocessing, Exploratory Data Analysis (EDA), Performance Metric Evaluation, KPI Dashboard Creation, And Result Interpretation. The Resulting Dashboard Provides HR Professionals With Actionable Insights To Monitor Performance Trends, Identify Top Performers, And Address Under Performance.Experimental Results Demonstrate The System’s Ability To Visualize Key HR Metrics, Such As KPI Achievement Rates And Training Effectiveness, With Departments Like Analytics And R&D Achieving Average Training Scores Of 84.56 And 84.43, Respectively. The System Offers A Scalable, User-friendly Solution To Replace Traditional Manual Performance Tracking, Enhancing Organizational Efficiency And Strategic Decision-making.

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