BNP Paribas Data Science Analyst Interview Questions and Answers

Q1. Please introduce yourself.
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Q2. Why American Express?
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Case study on unsubscribe button

Q1. Fundamental SQL queries and operations
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Q2. Basics of A/B testing
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Q3. Project/Resume based questions
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Q1. Questions on Pandas, Stats, and basics of NLTK.
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Q1. Manager took the interview. Started with CV walkthrough. Projects asked in details.
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Q2. ML and DL questions asked. Backtracked from LSTM to Regression. Loss functions, algorithm explanations, caveats, everything asked. Was a detailed round.
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Q1. Explain Backpropagation
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Backpropagation is a method used in neural networks to update the weights by calculating the gradient of the loss function.
• Backpropagation involves calculating the gradient of the loss function with respect to each weight in the network.

• The gradient is then used to update the weights in the network in order to minimize the loss function.

• This process is repeated iteratively until the network converges to a set of weight...read more
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Q1. Please introduce yourself.
Add your answer
Q2. Why American Express?
Add your answer

Case study on unsubscribe button

Q1. Fundamental SQL queries and operations
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Q2. Basics of A/B testing
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Q3. Project/Resume based questions
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Data manipulation and visualization using Pandas

Q1. Variance vs Bias tradeoff
Ans. 
Variance vs Bias tradeoff is a key concept in machine learning to balance model complexity and accuracy.
• Bias refers to error from overly simplistic models that fail to capture the true relationship between features and target variable.

• Variance refers to error from overly complex models that are too sensitive to noise in the training data.

• The goal is to find the right balance between bias and variance to minimize overal...read more
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Q1. Tell me about the project where you have used AI
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Q2. What are your strength and weakness
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Q1. What fo you understand by credit card company
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A credit card company is a financial institution that issues credit cards to consumers for making purchases and borrowing money.
• Credit card companies issue credit cards to consumers for making purchases and borrowing money

• They charge interest on outstanding balances and fees for late payments

• They provide customer service for cardholders and handle disputes and fraud claims

• Examples include Visa, Mastercard, American Exp
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