El proceso duró 1 semana. Acudí a una entrevista en American Express (Gurgaon, Haryana) en nov 2023
Entrevista
Off Campus, Two Rounds, Both Rounds happened within a week. Second round will be with the director. First round was around 45minutes plus, then there was second round was mainly discussion, with a case study and a puzzle.
Preguntas de entrevista [1]
Pregunta 1
1st round: 1. Basic SQL join, 2. Lambda function in python, 3. Difference between a bank and companies like Mastercard, Visa. 4. What happens when you transact using a credit card? 5.Algorithms used in past? 6. CV based questions? 7. How you detect outliers? 8. Puzzle of an insect eating leaf with quantity getting doubled. 9. What factors affect CIBIL score? 10. How you deal with missing data? 11. What will happen if apply regression algorithm to a classification problem?
2nd round: 1.CV based, 2Case Study. 3. 1 puzzle
The first interview round primarily focused on machine learning fundamentals and theoretical concepts, and included several case-study–based questions designed to evaluate the candidate’s depth of understanding and clarity of core ML principles.
Preguntas de entrevista [1]
Pregunta 1
There was a case study, focused on confusion matrix concepts like precision, recall, accuracy etc.
Round 1 was grilling over the resume, the projects or any internship I did.
Round 2 was coding, HR rounds and few feature extraction tasks with an guestimate as follow up.
Preguntas de entrevista [1]
Pregunta 1
How would you find intersection of two dataframes?
Envié una solicitud electrónica. El proceso duró 4 semanas. Acudí a una entrevista en American Express (Gurgaon, Haryana) en jul 2025
Entrevista
Involved 2 rounds of interviews. Entire process took close to 1 month. Focus was on projects in my resume, core ML concepts and Guesstimates. Round 2 with Director involved solving a Case Study related to predictive modelling and a discussion over American Express business model.
Preguntas de entrevista [1]
Pregunta 1
1. How do you deal with class imbalance in classification algorithms?
2. Give example of a situation where you will use Recall over Precision to assess model performance.
3, Estimate the active credit card users in Delhi.
4. Explain model overfitting. How will you tackle it?
5. How is American Express different from Visa and Mastercard?