HR Data Analytics portfolio project on a dataset of 80K records that deals with HR KPIs like Performance tracking, attrition rate. Project involved cleaning, transforming data and visualizing it to create a dashboard. I have used the MS Excel and Power BI's Query Editor for data cleaning and preprocessing and dashboard.

In this project there is a data which consist of jobs in market from which insights are drawn which can be useful for HR department to work on and to gain knowledge about the recruitment process of the market.

In this project, we explored the booming HR Analytics domain, developed a ml model that could predict which employees are more likely to quit. We explored the data, cleaned, modified, visualized and then created a random forest model to predict how likely the employee quit the job.

This project empowers data-driven decisions and enhances talent management strategies through insightful analysis of HR data.

"Predict and enhance employee promotions through data-driven insights and a predictive model in the 'HR Classification for Promotion' project."

HR Analytics project using Power BI

HR Data를 활용한 퇴사 예측 모델 구현 프로젝트입니다 📊 dashboard

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

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

Indicative Data Analysis Project for the HR Function of a company

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.

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.