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BNP Paribas Data Science Analyst Interview Questions and Answers
BNP Paribas Data Science Analyst Interview Experiences
1 interview found
Anonymous
(2 Questions)
- Q1. Multiple choice questions with calculus and statistics and 3 programming questions
- Q2. There was a derivative of a function to do
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Data Science Analyst Interview Questions & Answers
American Express
Haifa Nisar Desai (B20BB013)
posted on 13 Jan 2025
(1 Question)
- Q1. Explain Backpropagation
- Ans.
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...
I applied via Referral and was interviewed in Aug 2022. There were 3 interview rounds.
(2 Questions)
- Q1. Please introduce yourself.
- Q2. Why American Express?
Case study on unsubscribe button
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Data Science Analyst Interview Questions & Answers
American Express
Ayush Tripathi
posted on 22 Jan 2023
I applied via Approached by Company and was interviewed before Jan 2022. There were 2 interview rounds.
(3 Questions)
- Q1. Fundamental SQL queries and operations
- Q2. Basics of A/B testing
- Q3. Project/Resume based questions
Interview Preparation Tips
I applied via Referral and was interviewed before Jun 2021. There were 3 interview rounds.
(1 Question)
- Q1. Questions on Pandas, Stats, and basics of NLTK.
(2 Questions)
- Q1. Manager took the interview. Started with CV walkthrough. Projects asked in details.
- Q2. ML and DL questions asked. Backtracked from LSTM to Regression. Loss functions, algorithm explanations, caveats, everything asked. Was a detailed round.
Interview Preparation Tips
- NLP
- Pandas
- SQL
I applied via Referral and was interviewed in Aug 2022. There were 3 interview rounds.
(2 Questions)
- Q1. Please introduce yourself.
- Q2. Why American Express?
Case study on unsubscribe button
Interview Preparation Tips
Data Science Analyst Interview Questions & Answers
American Express
Ayush Tripathi
posted on 22 Jan 2023
I applied via Approached by Company and was interviewed before Jan 2022. There were 2 interview rounds.
(3 Questions)
- Q1. Fundamental SQL queries and operations
- Q2. Basics of A/B testing
- Q3. Project/Resume based questions
Interview Preparation Tips
Selected
I applied via Company Website and was interviewed before Mar 2023. There were 2 interview rounds.
Data manipulation and visualization using Pandas
(1 Question)
- 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...
Skills evaluated in this interview
Selected
I applied via Approached by Company and was interviewed before Jun 2022. There were 3 interview rounds.
(2 Questions)
- Q1. Tell me about the project where you have used AI
- Q2. What are your strength and weakness
(1 Question)
- Q1. What fo you understand by credit card company
- Ans.
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
Interview Preparation Tips
I applied via Referral and was interviewed before Jun 2021. There were 3 interview rounds.
(1 Question)
- Q1. Questions on Pandas, Stats, and basics of NLTK.
(2 Questions)
- Q1. Manager took the interview. Started with CV walkthrough. Projects asked in details.
- Q2. ML and DL questions asked. Backtracked from LSTM to Regression. Loss functions, algorithm explanations, caveats, everything asked. Was a detailed round.
Interview Preparation Tips
- NLP
- Pandas
- SQL
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BNP Paribas Data Science Analyst Interview Process
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