This project uses the real data from IBM to predict employee attrition by using supervised machine learning.
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Updated
Apr 15, 2022 - Jupyter Notebook
This project uses the real data from IBM to predict employee attrition by using supervised machine learning.
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…
The begining of a platform for Convivencia con Dios community
The following SQL queries count the headcount of current employees at a fictitious company by different segments (Performance Score, Employee Satisfaction, Compensation, Company Tenure, Department, and Employee Engagement).
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.
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.
Used Microsoft SQL Server to write several queries to calculate the attrition rate for a fictitious company between 2014 to 2018.
Used linear and tree-based models, visualizations techniques to solve commonplace data science problems, including calculating conversion rate, analyzing A/B testing, churn/retention prediction, fraud detection, funnel analysis, pricing testing, marketing campaign optimization, clustering, user referral, loan default prediction, optimization, pe…
Andrew Derbak is a data engineer for @Mastercard in St. Louis, Missouri.
Framework for Engagement Survey Analysis
Hello people!
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.
Projeto de people analytics, utilizando machine learning na clusterização de dados de funcionários que poderão deixar a empresa.
Counts number of people in frame and writes number into .txt file
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