First Round ------------ Basic ML/ Python: 1. Explain underfitting and overfitting? 2. Explain bias and variance tradeoff? 3. How do you calculate the sum of complex numbers in python? 4. What data structure did you prefer to store students' names and their marks? Behavioral: 1. Why did you switch from non IT branch to Data Science job and how? 2. How did you learn new things? 3. Coming from a non-CSE background, don't you think it would be better if you did masters in the CSE/Data Science field? 4. Why are you looking for a job switch? 5. Why Ford? Final round: Ask me to present on one of the major use cases.
