Given a dataset which we cannot even see properly on hackerrank, build 2 ML models and answer insight related questions within 2 hours. It made no sense. The dataset was in raw form, had to be studied and converted into features and target, split for training/testing and report accuracy. This is not how a data science task can be completed.
Why did you chose kraft heinz?
The analytical question was how to lower the cost of a fleet truck, it is very detail oriented yet very interesting, chanlleging
SQL. And why the number of likes are increasing?
What is 19+NULL in SQL
Given a list, create a new list that does not include duplicate values of the original list.
Lots of coding questions and data analysis tasks.
Make sure to study recommendation engines, since this is the bread and butter of their work. They don't really have any interest in your work experience, like many tech interviews.
Expectation that you can give clear examples of past decisions that make you a good behavioral fit with the organization. These examples are often asked in a question format about past decisions.
What is the reason you want to work at GSK
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