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 do you interest in Flipkart?
How would you query an SQL database with Tera of data?
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.
Why do you plan to leave your current job?
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.
Go through resume and many case study.
Explain the difference between type 1 and type 2 error.
How would you go about calculating the porosity of this silicon wafer?
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