📈This repo describes a framework that leverages sentiment stability of a financial 10-K report as the trading signal (alpha factor)

📈This repo describes a framework that leverages sentiment stability of a financial 10-K report as the trading signal (alpha factor)

The Employee Attrition Control project uses data analysis and predictive modeling to understand and address employee turnover. It provides insights and recommendations to reduce attrition and improve employee satisfaction and retention.

Employee turnover costs calculation is the process of determining the financial impact of employee turnover on a business.

JUMPt Version 1.1.0

I showcase 3 distinct projects that apply EDA techniques to serve diverse business objectives.

This is a project analyzing several factors that impact on turnover rates at a company.

Conducted analysis and predictions related to turnover on employee data in a company.

HR Turnover Analysis using Python, SQL and Power BI to identify risk factors and reduce attrition by 30% ```

Estudo efetuado para tentar predizer o turnover de colaboradores .

Employee Attrition prediction

End-to-end HR analytics project. Features data cleaning and transformation of 20 years of HR data (22k records) in SQL Server and dynamic dashboard creation in Power BI to track employee retention, diversity, and turnover.

analysis of patterns about the causes of staff turnover

Building a complete People Analytics ecosystem from raw data to predictive insights, combining data engineering, analytics and machine learning to drive turnover and retention decisions.

Master Dissertation Project "Ontoturnover" by SANTANA, Aline C.

Employee attrition analysis for Salifort Motors using EDA, statistical analysis and machine learning. Built logistic regression, decision tree, and random forest models to predict turnover risk, then translated findings into a Power BI analytics report with workforce insights, model evaluation, retention recommendations, and HR strategies.