📈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

Estudo efetuado para tentar predizer o turnover de colaboradores .

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.

Employee Attrition prediction

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% ```

In this project, I work as a data analytics professional at Salifort Motors, a fictional leader in alternative energy vehicles. I analyze employee survey data to identify turnover drivers and build predictive models, including multiple logistic regression, decision trees, and random forests, to forecast attrition and support retention strategies.

analysis of patterns about the causes of staff turnover

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.