This repository contains solution to business analytics problems in R programming
-
Updated
Nov 1, 2020 - R
This repository contains solution to business analytics problems in R programming
HR Analytics and Employee Performance IBM use of model classifiers to predict whether an employee is likely to quit or not
Analyse Employee attrition rate and recommend
Leverage external data and non-traditional methods to accurately assess and shortlist candidates with the relevant skillsets, experience and psycho-emotional traits, and match them with relevant job openings to drive operational efficiency and improve accuracy in the matching process
Model's objective: find employee's leadership potential. We are going to find the solution: what makes an employee have a high level or a low level of competence. For instance, employee A has a low level of competence on result orientation metrics, is it because A is not motivated, or A is not good at determination?)
Leverage external data and non-traditional methods to accurately assess and shortlist candidates with the relevant skillsets, experience and psycho-emotional traits, and match them with relevant job openings to drive operational efficiency and improve accuracy in the matching process
Retaining key employees is a major stake for any organization but are there reliable ways to figure out if and why the best and most experienced employees are leaving prematurely? Most firms these days are already integrating the benefits of using analytics to introduce special efforts in retaining employees as well as in hiring decisions. Lot o…
Add a description, image, and links to the hr topic page so that developers can more easily learn about it.
To associate your repository with the hr topic, visit your repo's landing page and select "manage topics."