Number of questions covering data processing (using either SQL or pandas), programming (lists and dictionaries), and machine learning. The questions were not especially hard, but I imagine the cutoff were how fast you could solve them.
Data Intern Interview Questions
7,490 data intern interview questions shared by candidates
The interviews were a mix of technical and behavioural questions based on my past work experience and projects that i worked on. The team is super friendly and makes sure you’re comfortable and I enjoyed the conversations thoroughly
Questions were based on hypothetical scenarios revolving around Meta's products. Product sense questions were linked to the technical questions.
Recruiter email: how do you find someone's best friend.
Explain About your Projects ? What Work did you do in your Internship ? Why Bain & Co. ? Why Consulting?
Why Meta?, Describe challenge you faced in a technical project
Tell about projects and working experience
How to prevent overfitting? What is t-test? Introduce yourself. What's the difference of the gradient boosting algorithms. What are the hyper parameters you can use to optimize the model.
How would you select best sellers ?
How does the ML algorithms help in the current livlihood
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