Analytics Vidhya -Janata Hack-Hr Analytics #15th Solution

Data Science Projects done at Data Trained Education during PG Data Science & ML Course

People Analytics Case Study - Serious SQL 🎃

Employee attrition analytics is specifically focused on identifying why employees voluntarily leave, what might have prevented them from leaving, and how we can use data to predict attrition risk.

Employee database analysis and future-proof on retiring employees using SQL and pgAdmin

Foundations of strategic business analytics (in Python) by ESSEC Business School

HR Analytics: A Complete Employee Data Analysis Project using Tableau Dashboard

The HR-Analytics Attendance Dashboard uses Power Query, DAX Query and Power BI to analyze 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.

Employee Performance Analysis

This repository contains a Power Bi dashboard of IBM HR Analytics to answer some questions about the employee attrition and performance data. This repository can be used as a starting point for anyone who wants to learn how to use Power Bi to analyze data.

Engage with a growing collection of Tableau dashboards covering financial trends, HR analytics, streaming service insights, real estate dynamics, and more. Meticulously crafted for valuable insights, this repository continues to expand with new and compelling visualizations.

An advanced Power BI dashboard focused on HR analytics, providing comprehensive insights into workforce data, employee performance, and key HR metrics. Enhance decision-making and strategic planning with visualizations tailored for human resources professionals.

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.

An approach to find insights and build a machine learning of 'Employee Attrition' data in an organization using python.

HR Analytics Power BI Dashboard

Repo for static website prototype for the AI HR Project

This portfolio is a series of projects I have worked on for academic purposes, and other projects done for self-study.

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.