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?