Questions were machine learning and probability statistics. In the telephonic round questions from resume and basic regression and decision trees were asked. In both face to face rounds interviewers started from CV based machine learning questions and went very deep in each algorithm. Probability questions like the monty hall problem were also asked.
Basics machine learning questions - Overfitting, Regularization
what is EDA?
What is zip in python used for?
Tell me about yourself. What is your current and expected salary? Why do you want to join us?
1 easy SQL question 1 general Python question asking to write a function to convert two different data models that seemed pretty arbitrary 1 general machine learning modeling question that seemed picked out of an interviewing textbook that did not feel relevant to the position
How would you debug data spilling in spark?
Interview questions were directly related to the project you completed and presented to the group.
Write the code for Supervised machine learning problem
Coding Round simple mathematical Leetcode based questions followed by Behavioural round asked about previous company role and future prospects
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