Ho presentato la mia candidatura online. La procedura ha richiesto 3 settimane. Ho sostenuto un colloquio presso Blue Yonder (Hyderabad) nel mese di lug 2018
Colloquio
I applied for Data Scientist position through Linkedin and was contacted by HR director for the same. I was asked to take an online test which I cracked very easily. Later, I was invited to their office for personal interview. There were three people who took my interview one after the other and there was a use-case discussion with all of the three guys. After this, the HR asked me to leave for the day and he called me after few hours and informed me that he got a positive feedback and there will be a final telephonic round with director. I received a call from director next day afternoon, she don't know the interview etiquette and asked all the non sense questions. I pity on JDA for making people like her as directors for important business verticals/divisions. I don't know what feedback she has given about me, HR called me three days later and informed me that you are selected but we don't have budget to release the offer and we are keeping the offer on hold. I did not receive any offer from them.
Domande di colloquio [1]
Domanda 1
Q: Basic Machine Learning Questions
Q: Questions on my past projects and experience
Q: Questions on my roles and responsibilities
Q: Use case discussion
Ho sostenuto un colloquio presso Blue Yonder (Bengaluru)
Colloquio
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
Ho sostenuto un colloquio presso Blue Yonder (Bengaluru)
Colloquio
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