This project leverages data analytics to gain insights into gender diversity and inclusion within the company. The Power BI dashboard and KPIs allow HR and management to track important metrics, identify issues, and make informed decisions to improve the representation and experience of all genders in the workforce.

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This repository contains the source code and assets for an HR Analytics Dashboard developed using Power BI. The dashboard provides insights into various aspects of human resources management, including employee demographics, performance metrics, leave balances, and more. Leveraging a monochromatic design approach

A collection of 15+ HR AI skills for Claude — covering recruiting, performance management, compliance, analytics, and all major HR domains.

A comprehensive HR analytics and people management platform built to solve the most critical challenges in Human Resources, People Operations, and Organizational Development.

🚀 CoreConnect - Streamline employee management! 🌟 Manage profiles, attendance, leave, payroll, and performance all in one app! 🎯 Custom reports, secure access, and insightful analytics to boost productivity and team growth! 📊 Empower your organization with ease! 👥 #EmployeeManagement #HR

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Desktop-based HR C# .NET application developed to solve problems related to Employee management of different type, Account management, Payroll, Sales management, Required factory purchase management, Profit or Loss Analytics Dashboard.

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The HR Analytics Dashboard project is a visual exploration of key HR metrics and workforce trends using Power BI. Designed as part of an academic initiative, this dashboard aims to support data-driven decision-making within human resource management, highlighting employee demographics, attrition patterns, performance indicators, and hiring trends.

Welcome to the HR Analytics Project repository where I explore insights into employee attendance, leave, and remote work patterns using Power BI and Python. This project aims to provide actionable insights for workforce management and decision-making based on real-world data.

A complete 1-to-1 Interview Preparation Guide for beginners and professionals. Includes coding problems, HR/behavioral Q&A, and career strategies. Covers Front-End, Data Analytics, Data Science, Python Full Stack, Java Full Stack, and MERN Stack interviews to crack top tech & management roles.

This case study aims to model the probability of attrition of each employee from the HR Analytics Dataset, available on Kaggle. Its conclusions will allow the management to understand which factors urge the employees to leave the company and which changes should be made to avoid their departure.

A large company named XYZ, employs, at any given point of time, around 4000 employees. However, every year, around 15% of its employees leave the company and need to be replaced with the talent pool available in the job market. The management believes that this level of attrition (employees leaving, either on their own or because they got fired) is bad for the company, because of the following reasons - The former employees’ projects get delayed, which makes it difficult to meet timelines, resulting in a reputation loss among consumers and partners A sizeable department has to be maintained, for the purposes of recruiting new talent More often than not, the new employees have to be trained for the job and/or given time to acclimatise themselves to the company Hence, the management has contracted an HR analytics firm to understand what factors they should focus on, in order to curb attrition. In other words, they want to know what changes they should make to their workplace, in order to get most of their employees to stay. Also, they want to know which of these variables is most important and needs to be addressed right away.

AI-Powered HR Analytics & Employee Management

HR Management, Analytics and Salary Determination System

A Power BI and Tableau-based HR analytics dashboard that provides insights into employee attrition, salary distribution, job satisfaction, and performance trends. Built using CSV datasets, it enables HR teams to analyze key KPIs like employee tenure, attrition rates, and job roles, helping make data-driven decisions for workforce management.

This dashboard provides insights into various aspects of HR management, focusing on employee attrition, job satisfaction, age distribution, salary hikes, and promotions. The dashboard helps in identifying key areas affecting employee retention and satisfaction within the organization.

HR management and analytics system for graphic design company

AI-Powered Employee Management & Analytics Platform

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A Human Resources (HR) Analytics Dashboard in Power BI can provide valuable insights into various HR metrics and help HR professionals and management make data-driven decisions. Here's an overview of the components you can include in your HR Analytics Dashboard.

Odoo-X-GECT – Next-Gen HRMS A full-featured Human Resource Management System (HRMS) built during the OdooXGECT hackathon. It streamlines HR workflows like employee management, attendance (with AI face recognition), leave handling, payroll automation, and analytics using a modern MERN + AI stack with scalable architecture and secure authentication.

AI-driven HR Management Platform designed to transform the hiring and employee management process through automation, smart analytics, and intelligent candidate insights.

AI-driven HR Management Platform designed to transform the hiring and employee management process through automation, smart analytics, and intelligent candidate insights.

The HR Analytics Power BI Dashboard is a data visualization project that provides in-depth insights and analysis for Human Resources (HR) data. It aims to assist HR professionals and management in making informed decisions based on key HR metrics and trends.