J'ai postulé en ligne. Le processus a pris 2 mois. J'ai passé un entretien chez Blue Yonder
Entretien
A few days after i applied online, I received an email that they were interested in my profile and sent me a data science task. It was not a very difficult task but I still spent a day working on it. After submitting the task, I was quite confident that i would atleast get an interview but i did not get any response from them. After a month i requested for the feedback myself but i was told to be patient while they were working on it. Another month went by and then i finally got a rejection because i was not experienced enough. They already had my CV. They should have known this before sending me the task. This was highly unprofessional as they wasted a lot of my time by making me work on the task (which turned out to be pointless) and also not responding for about two months.
After this experience, i talked to a couple of friends about it and found out that they went throught the same experience with this company.
I would recommend to not do the task for this company and request for an interview first. Once you clear the interview and they are sure that your profile meets their requirements then agree to the task.
Questions d'entretien [1]
Question 1
It was a regression task. they gave me a dataset and asked to provide predictive model
J'ai passé un entretien chez Blue Yonder (Bengaluru)
Entretien
It was really good experience with 3 technical rounds and also the questions asked are very related to day to days task which we work.
Handson codeing questions both in python as well as in sql and data science concepts related questions
J'ai passé un entretien chez Blue Yonder (Bengaluru)
Entretien
The interview process is largely scenario-based and use case driven, focusing on real-world problem solving. Candidates are evaluated on their ability to analyze situations, identify challenges, propose effective solutions, and optimize decision-making through logical, structured, and practical reasoning approaches.
2 rounds, first round ML basics and DSA, it was not very hard, DL breadth and ML breadth knowledge is good, second round in depth DL alongwith questions on python, sql, databases , topics- trees, activations, loss fucntions
