Projeto de people analytics, utilizando machine learning na clusterização de dados de funcionários que poderão deixar a empresa.
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Updated
Jul 25, 2024 - Jupyter Notebook
Projeto de people analytics, utilizando machine learning na clusterização de dados de funcionários que poderão deixar a empresa.
Python 🐍 Library 📦 with a self-administered questionnaire that assesses a person's 🗣 personality according to the Big Five model 🌊, using the IPIP-NEO.
Framework for Engagement Survey Analysis
This project aims to investigate how bad an employee attrition is in a company and to characterize employees who left the company so the HR manager can better understand the issue and prevent the same issue to happen again.
The begining of a platform for Convivencia con Dios community
Our team analyzed real data to help TFA optimize its corps matching process for placement acceptance and successful corps experiences. Finalists were selected in a multi-round process based on the degree to which they demonstrated.
Based on employee data recorded during 16 years of activity, a company seeks to reduce turnover rate, absences, and employee dissatisfaction; and increase performance.
This repository hosts a People Analytics project using SQL. The data was loaded from a csv file to MySQL RDBMS. The data was then cleaned and then analysed.
This notebook is in the area of People Analytics and includes the analysis of the IBM dataset to identify attrition. Besides attrition I also focus on diversity. I created strategies to reduce attrition.
Andrew Derbak is a data engineer for @Mastercard in St. Louis, Missouri.
People analytics project in R that implements predictive modeling to identify employees most likely to leave a company. Discussion around implications for the sample firm and proposed interventions draw on best practices in organizational development.
[Project repo] On People Analytics for predicting employee turnover. (Employee Experience article included)
R code used in the article "Gender Pay Gap And People Analytics: A Practice With Open Data"
As a budding data analytics professional, reading official and unofficial documentation and producing accessible reports is par the course. As an intellectual exercise, I am creating a data visualization of my LinkedIn network using an article from Medium as my "documentation". Second to that, this exercise is also an opportunity for me to use a…
This project uses the real data from IBM to predict employee attrition by using supervised machine learning.
Getting Started
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