In this project I did Complete EDA, and Build a ML model that can accurately predict whether an Employee will be leave a company or not based on different factors.
HR analytics project analyzing employee attrition across 1,470 employees using SQL, Python, and Tableau , logistic regression model, RFM-style segmentation, and identification of top at-risk employees.
An HR analytics project exploring employee attrition using Python, data analysis, and a Dash dashboard.
Analyzing employee attrition trends using MySQL & Power BI to improve workforce retention
Analysing the HR Analytics data using Power BI to gain insights of features affecting the attrition rate of employees by analyzing various features.
This Power Bi dashboard analyzes employee attrition trends in a company. The key insights were visualized to help identify patterns affecting employee retention.
Tableau Dashboards visualizing insights from various datasets.
The goal of this project is to analyze employee retention data to uncover insights that can help improve retention strategies. By identifying key factors that influence employee attrition, we aim to provide actionable recommendations for enhancing employee satisfaction and retention rates.
Interactive HR Employee Attrition Dashboard using Power BI
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