J'ai postulé via un établissement d'enseignement supérieur ou universitaire. Le processus a pris 3 mois. J'ai passé un entretien chez Quantrium (Chennai) en déc. 2023
Entretien
There are 5 rounds in total:
Resume Screening
Online Assessment
L1 Technical Interview (90min) (Includes coding)
L2 Technical Interview
Final Interview (Business Leadership)
I was out after L2 Technical Interview even though I felt it went well which was with the Technology head of the company.
Questions d'entretien [1]
Question 1
L1 technical Interview:
What is Multithreading and Multiprocessing
Assumptions taken in Linear Regression
Assumption taken in Naive Bayes Classifier
What are decorators
What is a lambda function
How do you handle missing values
Ways to tackle overfitting
Basic python data structure and differences
What is numpy broadcasting
Difference between LabelEncoder and OneHotEncoder
What is CountVectorizer
What is a Confusion matrix
Working of Random Forest Algorithm
Searching and Sorting algorithms and their time complexities
Difference between Tree and Graph
What are the different concepts in Object Oriented Programming
What is the use of Polymorphism and Inheritance
L2 technical Interview:
1.Rectification of mistakes in L1 interview
2.What are the Deep Learning models that you are good at
3.Regularization
4.Ensemble methods
And some non-technical stuff
The interview process in question was a wonderful experience, they structured the interview well and made sure that I was comfortable. There were multiple rounds and the final one was an interview with the director which gave a lot of insight into the company.
Simple and Easy followed by a coding test and technical interview they will ask you the basics of machine learning etc.
for example, what is confusion metrics and AUC and ROC Random, Logistic Regression.
Questions d'entretien [1]
Question 1
example, what is confusion metrics and AUC and ROC Random, Logistic Regression.
