Candidatei-me por indicação de um funcionário. Fui entrevistado pela American Express em jul. de 2024
Entrevista
I got a call from the recruiter; she explained everything about the role, salary, and the next steps. The interview was very easy. They asked me very basic questions on machine learning, overfitting, imbalanced datasets, case studies on loan default and a puzzle. The interview lasted for 45 mins.
Perguntas de entrevista [1]
Pergunta 1
- How do you handle imbalanced data?
- What factors do you analyse before approving a loan?
- Three ants puzzle probability question.
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.
Perguntas de entrevista [1]
Pergunta 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.
Perguntas de entrevista [1]
Pergunta 1
How would you find intersection of two dataframes?
Candidatei-me online. O processo levou 4 semanas. Fui entrevistado pela American Express (Gurgaon, Haryana) em jul. de 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.
Perguntas de entrevista [1]
Pergunta 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?