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Tell me about a time when you helped mentor a new joiner.

What would be your methodology for conducting an A/B test that can highlight a 3% enhancement in effectiveness when comparing two product campaigns?

How do you identify and rectify bias in a dataset?

Share a time when you had a disagreement with a member of your team.

What is the anticipated reward for rolling a single dice?

What are your strategies for earning your team's trust?

Can you describe the methods used to address the imbalance in a dataset?

Explain the significance of precision and recall in the field of artificial intelligence, and how they can help in improving the accuracy of machine learning models. Also, mention some common limitations and challenges related to the use of these metrics in practice.

I'd like you to tell me about a time when you had multiple competing priorities. How did you handle this situation?

What would be your approach to implementing a function that wraps text to a specified character length, ensuring it splits at spaces?