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Describe a time when you failed to meet a deadline.

What's your most memorable challenge from your past experience?

How adept are you at utilizing XGBoosting to solve complex, real-world problems?

In your opinion, what are the critical data points that one should consider when predicting the churn rate for Samsung phones? How would you account for any outliers?

Can you explain in simpler terms how the collinearity between two predictors could influence the coefficients in logistic regression?

Would you elucidate the meaning of training and loss graphs pertaining to neural networks? How does the choice of loss function impact the shape of the loss graph, and what are some extensively used ones? How do the training and loss graphs differ, and what role do they play in optimizing and maximizing model performance?

What approach would you take to determine the efficiency of a carpool service?

What is your understanding of the architecture and operation of Neural Networks?

Can you explain to me why you think Wish is the right fit?

How have you disagreed with a team members approach when it was necessary?