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I want to hear about a time when you had to work together on a project with a coworker who you didn't like.

I want to know about a time you disagreed with a supervisor.

What are the factors that determine the time complexity of SVM training? How does the time complexity during SVM inference compare to its training time complexity? What are the time complexity implications of using different kernels like Linear and RBF in SVMs?

Name a situation in which you had to handle conflict

Describe an aspect of your role you learned at your former job that you feel will be beneficial to your future role at Flextronics

In your current role, what do you consider your biggest achievements?

Could you elaborate on the assumption of error in linear regression and why it matters for precise modeling?

Is there any project of yours you are particularly proud of?

Please tell us about the lessons you learned from a major failure at work.

How do you define the term 'outlier detection' in the context of data science?