I applied through university. The process took 1 day. I interviewed at Mastercard (New Delhi) in Sept 2024
Interview
Pretty easy, they asked about my hobbies and basic ML.
Asked about my previous internship and my projects as well.
For people preparing for the interview, just have a good basic background in the ML Space, and have good projects.
Interview questions [1]
Question 1
what is the change in Precision and Recall if the threshold and p value changes.
The interview panel was easy to interact with, focusing on situation based scenarios and a few technical questions that tested practical understanding rather than deep theoretical knowledge and real-world application.
First step is a phone interview with HR, next two steps are technical interviews with business case and test on programming languages, last one is a final interview to align on culture and values of the company
I applied through university. I interviewed at Mastercard (Gurgaon, Haryana) in Apr 2025
Interview
Asked DSA questions and then some loss functions. How they were derived. Asked about gradient descent. Also gave situations and asked how would you approach this problem what will you use some shortcomings etc.
Interview questions [1]
Question 1
They asked about log loss function and why use log.
