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What is your understanding of the churn rate among drivers and how would you assess it?

How do you deal with binary classification datasets that are unevenly distributed, where one class dominates the other in terms of instance count?

In machine learning, dealing with covariate imbalance is an important consideration. Can you explain some approaches or techniques that can be used to address covariate imbalance in a dataset? How do these approaches help in improving the performance of machine learning models?

In what way do you understand the principles of Naive Bayes and determine the classification threshold?

Describe the process of building a podcast search engine that allows users to look for information within episode transcripts.

In Python: You have an array of int of len n, sorted, filled with int from 0 to n, e.G. [0,1,2,4,5], you want to find what is the number such as it introduces the problem. Complexity of O(log n) in general required.

What would you do to improve GOJEK if you were hired for Data Scientist?

How do you quantify the factors affecting the ride requests of the company?

How did you handle a risky situation?

Please tell me about a time when you had to change the way you worked.