Attrition Analysis peer review - dbc86

[dbcarrasco]

This study, will get deep into attrition main causes by studying a simulated data set created by IBM. The main goal is to find the most important features that led to employees leaving their respective companies. This information can be used after to create talent retention programs that could save money (in hiring costs) to companies and retain their key employees.

The aspects that I like more about the project are:

• The topic, taking an analytical approach to these kind of problems is very hard. Usually companies rely on surveys that may not be so representative or just on "felling'
• The applications of the project, if the team manages to create a good model that can be applied to other companies it could be very interesting for real companies with attrition problems.

Some areas for improvement could be:

• I do not quite like that the data is simulated, I understand the challenge of finding real data but I am worried about the data set and how much it differs form reality, maybe the team has more insights in this issue.
• Only IBM, if the data comes from only IBM I don't know if it's going to be possible to build something that applies to other companies.