ZS Senior Data Scientist Interview Questions and Answers

Q1. Why you want to join this company?
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Q2. What is your current CTC and expectations
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Q3. What is your notice period
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Q4. Do you have any offers in hand
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Q1. Why you chose this ML model over others
Ans. 
I chose this ML model because of its high accuracy and interpretability.
• The chosen model has shown superior performance in cross-validation compared to other models.

• The model's interpretability allows for easier understanding of feature importance and decision-making processes.

• The chosen model is well-suited for the specific problem domain and dataset characteristics.

• For example, I chose a Random Forest model over a Ne...read more
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Q2. Accuracy and how you know your model does well
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Q1. What is Shap value and plot
Ans. 
Shap values explain individual predictions in machine learning models.
• Shap values quantify the impact of each feature on a model's predictions.

• They help in understanding the importance of different features in the model.

• Shap plots visually represent the impact of features on predictions.

• They can be used to explain black-box models like XGBoost or neural networks.
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Q2. Explain tree based model and hyperparameters
Ans. 
Tree based models use decision trees to make predictions, with hyperparameters controlling the model's behavior.
• Tree based models are a type of machine learning model that uses decision trees to make predictions.

• Hyperparameters are settings that control the behavior of the model, such as the maximum depth of the tree or the minimum number of samples required to split a node.

• Examples of tree based models include Random
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