HDFC Life Data Scientist Interview Questions and Answers

Q1. 1) Formula for Precision and recall
Ans. 
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
Ans. 
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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Q1. Basic details about you, how you convince customer to buy new policy, what will you do if customer not respond you and also dis respect you, etc
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Q1. Tele me something about yourself
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Q2. What is insurance
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Q1. What do you know about insurance
Ans. 
Insurance is a financial product that provides protection against specific risks in exchange for payment of a premium.
• Insurance is a contract between an individual or entity and an insurance company.

• The individual or entity pays a premium to the insurance company in exchange for coverage against specific risks.

• Types of insurance include health insurance, life insurance, auto insurance, and property insurance.

• Insurance ...read more
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Q1. What do you like about HDFCergo
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All the questions are based on the MCQ , and the syllabus is covered python SQL Power BI

Some questions from the Pandas Data Frame scenario based

Q1. Ask about work and coding
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Q1. Last company experiance
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5 people including in gd

Q1. What is your background
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Q2. Why should we hire you
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