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Advanced HR Workforce & Employee Attrition Analytics
An end-to-end HR analytics project focused on understanding employee attrition, workforce patterns, employee experience, and retention-related factors using a fictional HR dataset.
What I did:
Cleaned, explored, and transformed data using Python
Performed data quality checks and advanced analysis using PostgreSQL & SQL
Developed KPIs and attrition metrics using DAX
Built an interactive Power BI dashboard
Analyzed attrition by department, job role, overtime, salary, age, tenure, and promotion history
Created employee risk segmentation to identify higher-risk groups
Explored multi-factor relationships influencing employee attrition
Tools: Python • PostgreSQL • SQL • Power BI • DAX • Excel
Workflow:
Raw Data → Python → PostgreSQL → SQL Analysis → Power BI → Business Insights
Outcome:
The project demonstrates an end-to-end data analytics workflow and transforms raw HR data into actionable insights that can support workforce and retention decisions.
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Join 1.25M professional creatives like you
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