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?
Explain the difference between type 1 and type 2 error.
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.
Two random cards numbered from 1,2...100 are pulled from the deck. What is the probability that one number doubles the other from the deck.
Learning models and a few algorithm questions.
I was asked to complete a complex and open-ended data science task. Really used the full range of my data science skills.
What is Data Science? When you use Spark and When Python? Unbelievable staff like those. Don't waste time, seriously.
Viewing 121 - 130 interview questions