Employee Analytics with AutoML
The analytic methods can improve Human Resources (HR) management for companies with large number of employees. It is very easy to give example, how can companies benefit from machine learning methods applied to HR. Let’s assume that training of new employee costs 1000$ and if we can predict which employee is going to leave next month, and propose him/her a bonus program worth 500$ to keep him for next 6 months, we are 500$ on plus and keep experienced, well-trained employee under the hood, with higher morale.
For details how to use MLJAR please read our article which is here.
About the Author

Piotr Płoński
Piotr Płoński is a software engineer and data scientist with a PhD in computer science. He has experience in both academia—working on neutrino experiments at leading research labs and collaborating on interdisciplinary projects—and in industry, supporting major clients at Netezza, IBM, and iQor. In 2016, he founded MLJAR to make data science easier and more accessible, creating tools like AutoML, Mercury, and MLJAR Studio.