Ho presentato la mia candidatura tramite l'università. La procedura ha richiesto un giorno. Ho sostenuto un colloquio presso American Express (Chennai) nel mese di lug 2021
Colloquio
Interviewer was interested in what I had done before. Interview was low stress. Questions were straightforward (past projects, puzzles) and not very challenging. The interviewer described the role and we had a long discussion about what aspects of it I found interesting and why they thought I was a good fit.
Domande di colloquio [1]
Domanda 1
1. Explanation of my deep learning project (architecture, challenges faced)
2. 2 Puzzles from standard puzzle books
3. Discussion about the role
They asked Case Studies on what parameters could be used for Machine Learning model, there were three rounds but in further rounds they asked theoretical Machine Learning based case studies.
Domande di colloquio [1]
Domanda 1
How to figure out whether a transaction is fraudulent?
How to predict whether a customer will call us in near future for any query?
Ho presentato la mia candidatura tramite l'università. La procedura ha richiesto 5 giorni. Ho sostenuto un colloquio presso American Express (Kānpur, Uttar Pradesh) nel mese di ago 2025
Colloquio
2 rounds : Round 1 was talk about the ml models on my resume(went deep into their theory) and couple of case studies centered around amex's business model. Round 2 was case studies again and questions like why amex? both rounds were a mix of technical and hr.Would suggest strongly brushing up one's knowledge of credit cards and amex's revenue streams
Ho presentato la mia candidatura online. La procedura ha richiesto 4 settimane. Ho sostenuto un colloquio presso American Express (Phoenix, AZ) nel mese di feb 2024
Colloquio
2 rounds of interview, coding assessment, followed by a round of behavioral interview and a technical live-coding session. Not too many challenging questions in the technical round, just testing basic understanding of data science and statistics.
Domande di colloquio [1]
Domanda 1
How to deal with missing values, walk me thru a data science project you completed, what is false positive, etc.