Ho presentato la mia candidatura tramite un selezionatore. La procedura ha richiesto un giorno. Ho sostenuto un colloquio presso Rakuten (Nuova Delhi) nel mese di ago 2019
Colloquio
Went for Interview in rakuten office, first round data science mcq test with 30 questions. Next round after 2hrs of waiting with Japanese guy on WebEx .He didn't ask any questions ,just ask to explain what you are working on, which framework, library do you use . Then waited for 1:30 hrs, went to hr for further details,she told that you rejected as you are weak in statistics, ,then I ask he didn't ask single questions,how he had come to that conclusion. she said your profile not fit for job this much experience, I ask why you had shortlisted me , then she said we didn't done that ,it was through consultancy. Total waste of time.
Domande di colloquio [1]
Domanda 1
mcq test contain
basic machine learning and neural networks questions
this interview process had 5 rounds
2 was a tech test
３ were conversational in nature
with various managers from direct and indirect to the department manager mostly in Japan but also outside Japan.
1st Interview was simple leetcode task and some questions about Kubernetes. 2nd interview - classical ML and DL questions, Final interview is mostly informal, but there may appear some questions about specific experience and problem solving
Domande di colloquio [1]
Domanda 1
What is the difference between random forest and boosting?
Initial LeetCode coding test, hiring manager interview for profile and role fit, multiple technical rounds covering statistics, machine learning, SQL, Python, and case studies, concluding with behavioral interviews evaluating teamwork, communication, and cultural alignment.