📊 HR Analytics Dashboard | Final Project – NTI Data Analytics Scholarship
I'm excited to share our Final Project for the NTI (National Telecommunication Institute) Data Analytics Scholarship, where we developed an end-to-end HR Analytics solution to transform raw employee data into actionable business insights.
🎯 Project Objective
The goal of this project was to analyze employee data, understand workforce trends, identify the key drivers behind employee attrition, and provide data-driven recommendations to support better HR decision-making and improve employee retention.
🛠️ Project Workflow
🔹 Python (Pandas & NumPy) – Data Cleaning & Preparation
🔹 Excel (Pivot Tables & Pivot Charts) – Exploratory Data Analysis (EDA)
🔹 Power BI – Interactive Dashboard Development & Data Visualization
🔹 DAX & Power Query – Data Modeling, KPIs, and Business Metrics
📊 Dashboard Pages
✅ Home Dashboard
✅ Workforce Overview
✅ Attrition Analysis
✅ Root Cause Analysis
✅ Employee Satisfaction
🔍 Key Insights
• Attrition Rate reached 16.05%
• Employees working overtime showed higher attrition rates
• The highest attrition occurred during the first 1–3 years of employment
• Lower-income employees were more likely to leave the company
• Employee satisfaction showed a strong impact on employee retention
💡 Business Recommendations
• Reduce excessive overtime and workload pressure
• Strengthen onboarding and mentorship programs for new employees
• Review compensation structures for high-risk employee groups
• Conduct regular employee satisfaction surveys to identify issues early