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This project analyzes employee retention using machine learning models and explores factors affecting it, such as workload, job satisfaction, and salary disparities. The goal is to provide actionable insights for HR and management, aiding in the development of effective retention strategies.
This study uses machine learning to predict and understand employee attrition, aiming to provide actionable insights for proactive human resource strategies based on diverse employee attributes.
R Project with several insights and use of Classification Algorithms, such as Generalized Linear Models (GLM), Recursive Partitioning and Regression Trees (RPART). In this project I propose data-driven decisions to the HR.
HR plays a key role in developing, reinforcing, and changing the culture of an organization.Pay, performance management, training and development, recruitment and onboarding, and reinforcing the values of the business are all essential elements of business culture covered by HR. HR needs to stay up-to-date with all relevant information. The purp…
👩🏻💼Implemented a comprehensive HR Analytics project at ATLIQ using Power BI. This initiative involved gathering and analyzing diverse HR data sets to derive valuable insights for strategic decision-making. The project focused on key areas such as employee performance, retention, and talent acquisition.
This repository hosts a People Analytics project using SQL. The data was loaded from a csv file to MySQL RDBMS. The data was then cleaned and then analysed.
In this project, exploratory data analysis was used to identify reasons why employees leave and machine learning methods were used predict employee attrition
The HR-Analytics Attendance Dashboard uses Power Query, DAX Query in Power BI to analyse Employee' attendance data and provide insights into attendance patterns. The data is cleaned and transformed using Power Query and DAX Query. A dashboard is created with visualizations, measures, filters, and slicers to help HR identify areas for improvement.
Welcome to the Power BI Projects Repository crafted by Tejas. The project utilized Power BI to analyze CSV-based employee data, offering insights into performance and attrition, aimed at enhancing employee retention and satisfaction.
A dashboard that provides a dynamic slice-and-dice overview of an organization's workforce, including departments, absences, and educational credentials.