Abstract :

Employee Management And Retention Have Become Critical Challenges For Modern Organizations Due To Increasing Competition And Workforce Mobility. Predictive Analytics Has Emerged As A Powerful Tool To Analyze Employee Data And Assist Organizations In Making Datadriven Decisions. This Research Paper Presents A Machine Learning-based Predictive Analytics System Designed To Analyze Employee Data And Predict Employee Performance, Productivity, And Attrition. Employee Attrition Is A Major Concern For Organizations As It Leads To Increased Recruitment Costs, Loss Of Skilled Workforce, And Reduced Productivity. Traditional Methods Rely On Manual Analysis Using Spreadsheets, Which Are Time-consuming, Error-prone, And Inefficient For Handling Large Datasets. Therefore, An Automated System Is Essential To Improve Accuracy And Efficiency. The Proposed System Utilizes Machine Learning Algorithms To Process Employee Data Such As Age, Salary, Experience, Department, Working Hours, Job Satisfaction, And Performance Ratings. The System Predicts Whether An Employee Will Perform At A Good, Average, Or Poor Level And Whether They Are Likely To Leave The Organization. The System Is Implemented Using Python, With Machine Learning Models For Prediction, Flask For Web Application Development, And SQLite For Data Storage. Data Preprocessing Techniques Such As Normalization, Feature Selection, And Handling Missing Values Are Applied To Improve Model Accuracy. The System Operates Through A Structured Workflow Involving Data Collection, Preprocessing, Model Training, Prediction, And Result Visualization. The Predictions Are Displayed Through A User-friendly Web Interface, Enabling HR Professionals To Make Informed Decisions. Experimental Results Demonstrate That The System Achieves High Accuracy With Reliable Prediction Performance. Compared To Traditional Approaches, The Proposed System Provides Faster Analysis, Improved Accuracy, And Better Decision Support. The Main Contribution Of This Research Is The Development Of An Intelligent System That Enhances Employee Management By Predicting Performance And Attrition. The System Can Be Integrated Into HR Management Systems To Improve Workforce Planning And Reduce Employee Turnover. Future Work Includes Integrating Deep Learning Techniques, Real-time Analytics, And Advanced Visualization Tools. Overall, The System Provides An Efficient, Scalable, And Intelligent Solution For Employee Analytics Using Machine Learning.

Published:

07-4-2026

Issue:

Vol. 26 No. 4 (2026)

Page Nos:

1401-1405

Section:

Articles

License:

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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