employee-retention

It is a binary classification task, where given a set of features we need to predict whether the employee is likely to leave or not

Predictive model on employee turnover using machine learning

📊 Interactive Tableau dashboard analyzing 1,470 IBM employees — uncovering attrition risks, pay gaps, and workforce patterns through data storytelling.

An interactive Employee Retention Dashboard that visualizes simulated data to analyze turnover trends and employee satisfaction.

An interactive Workforce Intelligence Dashboard for analyzing employee attrition patterns, workforce health, retention risk, and cost impact using Python, Excel, and Chart.js — built for data-driven workforce planning.

This repo contains machine learning projects for beginners.

This project analyzes employee retention using machine learning models and explores factors affecting it, such as workload, job satisfaction, and salary disparities. The goal is to provide actionable insights for HR and management, aiding in the development of effective retention strategies.

Employee Retention

The main goal of this project is to accurately predict that the employee will resign or not based on predefined criteria. Various implementations and learning methods are used in this project to increase the efficiency of predicting that any employee will apply for resignation. A web-app is also made to facilitate the execution of the project. T…

SQL-based HR analytics project analyzing employee retention, performance, and compensation patterns to support data-driven business decisions.

RetenX is a Flask-based web app for predicting employee attrition using machine learning. It analyzes HR data, provides insights via interactive visualizations, and offers personalized retention strategies. Features include single/batch predictions, model comparisons, historical trend analysis.

HR Analytics dashboard built with Power BI to monitor employee performance, attrition, and organizational health.

ML model predicting employee attrition with 85.62% accuracy

Interactive Power BI HR Analytics dashboard analyzing employee attrition, retention, workforce demographics, tenure, overtime, departments, and job roles to identify key workforce trends and support data-driven HR decisions.

Interactive HR Employee Attrition Dashboard built with Power BI to analyze employee turnover, workforce demographics, job satisfaction, and key HR KPIs using Power Query and DAX.

Employee Attrition Analysis Dashboard built using Excel, SQL, Power BI, Python and Streamlit to analyze employee attrition, salary trends, department performance and promotion insights.

This is a group project in the Data Science for Business I course where we took a data-driven approach to foster employee retention and enhance operational efficiency by building predictive models on Python.

Figuring Out Which Employees May Quit

🚀 End-to-end ML pipeline using XGBoost to predict employee attrition with 92.03% Recall. Features extensive EDA, Logistic Regression threshold optimization, and actionable HR strategy based on burnout signals and promotion cycles.

SQL project exploring HR data for retention, salary trends, and performance metrics to guide workforce decisions.