There are 18 repositories under people-analytics topic.
Getting Started
[Project repo] On People Analytics for predicting employee turnover. (Employee Experience article included)
Python :snake: Library 📦 with a self-administered questionnaire that assesses a person's 🗣 personality according to the Big Five model 🌊, using the IPIP-NEO.
A project seeking it to make it easier for companies to compare the representation of different groups in a company workforce to the local labor force across geography. I am fairly new to this, so let me know if I've set up anything incorrectly!
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.
A side project for collecting & displaying a list of people whose work I admire!
A script that scrapes all current WeWork coworking space locations and outputs them in a CSV.
This project analyzes fictional recruiting data through two main approaches - prediction and explanation. A multilayer perceptron is used for prediction and logistic regression for explanation.
Sharing codes to create an interactive network graph and some insights to analyze a network
R code used in the article "Gender Pay Gap And People Analytics: A Practice With Open Data"
A python script that leverages both web scraping and meetup's api to create a rich dataset on a particular topic
R code used in the article "Visualizing Absenteeism At Work"
R code used in the article "Predicting Employee Attrition: R vs DMWay"
An interactive analytics dashboard for the Drexel University Peer Counseling Helpline
Counts number of people in frame and writes number into .txt file
Final Project for JCDS08 Purwadhika
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 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.
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.
Used Microsoft SQL Server to write several queries to calculate the attrition rate for a fictitious company between 2014 to 2018.
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).
This project uses the real data from IBM to predict employee attrition by using supervised machine learning.
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, people analytics
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 new and interesting dataset that branches towards #peopledata #peopleanalytics. Thanks for visiting!
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.