The data science job market is extremely competitive. There are many qualified candidates, and it can be difficult to differentiate them. For me, the easiest way to separate the strongest applicants from the weaker ones is through looking at their github or kaggle projects.

After you’ve explored The Projects You Should Do to Get a Data Science Job, it is time to experiment with a few modifications to really make them POP. Below are a few of the ways that you can take your projects to the next level. Make your projects unique — Projects should start with a good story. If you have a compelling reason for working with a specific data-set, this gets my attention.

Source: towardsdatascience.com
Author: Ken Jee