hranalytics
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To understand how the satisfaction level plays an important factor in HR Analytics and how to make strategy for employee retention.
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Dec 4, 2019 - R
Dataset presenting a few results of the yearly Stack Overflow Developer Survey. Emphasis on salary and job satisfaction issues.
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Sep 29, 2021 - Jupyter Notebook
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.
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Feb 3, 2022 - Jupyter Notebook
Indicative Data Analysis Project for the HR Function of a company
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May 21, 2022 - Jupyter Notebook
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.
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Nov 10, 2022
Application analyze and predict Employee TurnOver from the Company
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Dec 8, 2022 - Jupyter Notebook
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Dec 17, 2022
Using three months attendance data to find out trends and insights in attendance and leaves using MS Excel and Microsoft PowerBI
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Jan 21, 2023
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.
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Mar 16, 2023 - Jupyter Notebook
This dashboard uses HR data to display the attrition rate of employees in the organization.
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Mar 16, 2023
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Mar 26, 2023
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Mar 29, 2023
HR Analytics project using Power BI
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Mar 29, 2023
HR Data를 활용한 퇴사 예측 모델 구현 프로젝트입니다 📊 dashboard
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May 10, 2023 - Jupyter Notebook
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May 23, 2023 - Jupyter Notebook
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May 30, 2023
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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Aug 15, 2023
"Predict and enhance employee promotions through data-driven insights and a predictive model in the 'HR Classification for Promotion' project."
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Sep 5, 2023 - Jupyter Notebook
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.
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Sep 9, 2023
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