Cholamandalam MS General Insurance Data Analyst Interview Questions and Answers

It was moderate level questions

It depends on your group and the topic of discussion

Q1. Why should we hire you?
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Q2. Tell me about yourself.
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Q1. Asked about your projects you have worked on?
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Q2. Some questions relates with project.
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Q1. Only salary discussion.
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Q1. BRD related questions
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Q1. Generic Hr questions
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Q1. Previous work discussion
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Q2. Relevant work experience
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Q3. Tools knowledge
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Statistics Questions

Q1. Assumptions of Machine Learning
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Assumptions of Machine Learning include data availability, feature relevance, and model interpretability.
• Data availability is crucial for training machine learning models.

• Assumptions about the relevance of features in the data must be made.

• Model interpretability is important for understanding the decisions made by the machine learning model.
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Puzzles
Basic machine learning
Resume project related questions

One case related to insurance
Stress round
Adv ML

Q1. Normal Hr questions
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Q1. 1) Formula for Precision and recall
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Precision = TP / (TP + FP), Recall = TP / (TP + FN)
• Precision is the ratio of correctly predicted positive observations to the total predicted positive observations

• Recall is the ratio of correctly predicted positive observations to the all observations in actual class

• Example: If a model predicts 100 positive cases, out of which 80 are actually positive, precision = 80/100, recall = 80/total actual positive cases
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Q2. 2) Difference between R2 and adjusted R2
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R2 measures the proportion of variance explained by the model, while adjusted R2 adjusts for the number of predictors in the model.
• R2 is the proportion of variance in the dependent variable that is predictable from the independent variables.

• Adjusted R2 penalizes the addition of unnecessary predictors in the model, providing a more accurate measure of the model's goodness of fit.

• R2 can increase even when adding irreleva...read more
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