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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.
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.
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.
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.
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.