2026 HR Analytics: AI-Powered Employee Attrition Prediction & Retention Strategy
Interactive HR Analytics dashboard built with Streamlit, Pandas, and Plotly for employee attrition analysis.
Nexus Oracle is an end-to-end automation platform designed to align global job market trends with executive financial planning. It replaces manual market research with a systematic, 4-stage pipeline that processes thousands of data points to identify skill scarcity & localized compensation strategies across the USA, UK, UAE, Canada, and Germany.
Predicting the impact of hybrid work on employee burnout using a Monte Carlo simulation and a custom Bio-Debt Index (SQL & Python).
A comprehensive Power BI dashboard analyzing IBM HR Analytics data. This project delivers deep insights into employee performance trends and key drivers of attrition.
People analytics 500 karyawan: 13 pertanyaan HR dijawab dari 5 tabel via pipeline Medallion T-SQL (20 gold view) + dashboard Power BI. Temuan: turnover 18% terkonsentrasi di 2 tim, premi promosi 8,3% kalah dari annual review, gap gender 13,6%.
End-to-end HR Analytics on 2 million employee records | Analyzing workforce distribution, attrition, salary trends, performance & hiring patterns using Python, Pandas & Seaborn
Interactive HR Employee Attrition Dashboard using Power BI
📊 Interactive HR Analytics Dashboard built in Tableau to analyze employee attrition, workforce demographics, job satisfaction, and key HR metrics through dynamic visualizations and insights.
An end-to-end data analytics project focused on discovering the actual root causes behind employee turnover (attrition). This project covers the full pipeline: data cleaning and preprocessing using **Python**, followed by advanced data modeling and interactive dashboard design using **Power BI**.
End-to-End HR Analytics Project | Python (Pandas, Matplotlib, Seaborn) | Power BI | DAX
This Project is an HR Analytics Dashboard designed to hrlp HR teams and managers understand their working at a glance.
Add a description, image, and links to the hr-analytics-data-analytics topic page so that developers can more easily learn about it.
To associate your repository with the hr-analytics-data-analytics topic, visit your repo's landing page and select "manage topics."