Predicts the likelihood of employee attrition based on certain parameters.
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Updated
Oct 11, 2024 - Jupyter Notebook
Predicts the likelihood of employee attrition based on certain parameters.
This project showcases an HR Analytics Dashboard created using Power BI. It includes visualizations and insights on employee attrition, job satisfaction, performance ratings, and salary hikes. The dashboard aims to provide data-driven insights to help HR teams make informed decisions.
This project focuses on analyzing the company's hiring process to gain insights into different aspects of recruitment. Using Excel and data visualization techniques, the goal is to provide a clear understanding of hiring practices and highlight areas for improvement.
Training skills in conducting data analytics from HR, using existing data specifically focused on attrition and satisfaction. Data analytics includes descriptive, diagnostic, predictive, and prescriptive analysis.
Projeto de people analytics, utilizando machine learning na clusterização de dados de funcionários que poderão deixar a empresa.
Learn how to create an HR analytics dashboard in Excel! I'll guide you through data collection, cleaning, and visualization techniques step-by-step for effective HR insights.
Framework for Engagement Survey Analysis
HR Analytics Dashboard offering insights into attrition, hiring, and employee satisfaction through interactive visualizations and data analysis.
HR Analytics using MYSQL
Leveraged Excel & Power BI to analyze HR data, uncovering insights on employee preferences & sick leave. Developed interactive visualizations & utilized DAX calculations for effective data representation. Recommendations: optimize office space, promote engagement, & achieve work-life balance.
This project empowers data-driven decisions and enhances talent management strategies through insightful analysis of HR data.
This repo hosts a Human Resources Analytics Project where the data was cleaned and analyzed using SQL and then visualized with Power BI.
Designed a Power BI dashboard to track employee data for the HR team, including working hours, attendance, performance, and leaves. The dashboard streamlined HR processes and increased efficiency. This Dashboard can save 3-4hrs of work for the HR dailv.
In this whole data, there is attrition happening in the company and I have done the calculation for the employees who leave their jobs for what reason and from which departments they belong, what is their job role, age group, salary, and how many years they have been working for the company.
"Predict and enhance employee promotions through data-driven insights and a predictive model in the 'HR Classification for Promotion' project."
Employing advanced data analysis and visualization in Excel, I offered a comprehensive overview of gender distribution, salary trends, departmental proportions, and post tier representation. Leveraged these insights for informed decisions, diversity enhancement, and refined recruitment strategies, optimizing the hiring process.
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