Moderate level questions on the decisions to apply a particular ML algorithm on a dataset, (What they're looking for is a reasoning that factors in everything like inference time, results examinability(XAI or SHAP) and not just what algorithm will be the most accurate on a dataset. )
Tell how to fit job description
Why are you the best candidate for this position?
regular old fashioned interview.. not STAR type, tell me about yourself, what is your role, define your role, what are your expectations, what is your salary expectation, expamples of hard situation that you faced. how did you manage hard people, what is your style of conflict resolution, how do you manage team, how do you work in cross functional team. did you work in global studies
nothing memorable. asking you about typical interview questions, "tell me a time when..."
What is F1 score? When do we prefer AUC over accuracy? What is the formula for Sigmoid function?
Specific bussiness related questions to a case problem about airlines competition between companies.
Code out some ML models for given data.
- Which part of data analysis is most challenging? - Some ML process - Algorithms needed
What is k nearest neighbour
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