Case study

HR Analytics Dashboard

Created an optimized Tableau data model from an 8,000-row HR dataset generated with Python to analyze attrition patterns and leadership workforce insights.

Business Impact

Reduced manual reporting and accelerated root-cause analysis for employee attrition.

Tools

TableauPythonData ModelingHR Analytics

8,000-row HR dataset

Attrition analysis

Leadership dashboard

Problem

HR stakeholders needed a faster way to explore attrition drivers and workforce patterns without repetitive manual reporting.

Data / Architecture

A Tableau dashboard backed by a Python-generated HR dataset and an optimized analytical data model.

Process

Generated and shaped an 8,000-row HR dataset with Python.

Designed an analytics model for attrition, department, role, and workforce segmentation.

Built Tableau views for leadership exploration and root-cause analysis.

Business Impact

Reduced manual reporting and helped leaders identify workforce attrition patterns faster.

Screenshots

HR analytics Tableau dashboard visualization for attrition and workforce insights

GitHub / Demo

GitHub

Not publicly available

Demo

https://public.tableau.com/app/profile/akash.patel3574/viz/HR_Dashboard_17407938446160/HRSummary