Dataset presenting a few results of the yearly Stack Overflow Developer Survey. Emphasis on salary and job satisfaction issues.

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.

Predicts the likelihood of employee attrition based on certain parameters.

To understand how the satisfaction level plays an important factor in HR Analytics and how to make strategy for employee retention.

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.

HR Data를 활용한 퇴사 예측 모델 구현 프로젝트입니다 📊 dashboard

HR Analytics dashboard

Indicative Data Analysis Project for the HR Function of a company

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.

HR Analytics project using Power BI

People Analytics

This dashboard uses HR data to display the attrition rate of employees in the organization.

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.

This repo hosts a Human Resources Analytics Project where the data was cleaned and analyzed using SQL and then visualized with Power BI.

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.

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.