I love working as a QA however I have strong desire to work on data. It fascinates me, however I wonder if I do a data science PG - will my QA experience be an advantage in getting to work on data science projects?
I believe so, there are a lot of Datascientists out there who don’t know how to deal with quality.
Their models are basic and insecure. They test with a left over data set and they are unable to create their own test sets using for example Metamorphic testing.
So hell yea it’s an advantage