Ho presentato la mia candidatura tramite l'università. La procedura ha richiesto 3 mesi. Ho sostenuto un colloquio presso Celebal Technologies (Jaipur, Rajasthan) nel mese di set 2023
Colloquio
I request you to not join this company because it is a SCAM .
Celebale is playing with future of students.
They select people and used them by paying 9000 rupees and kick them off before FTE.
Easy Process , selected from college through coe program. It take online exam then. then a coe programv where celebal teach us for 3 months and then they eliminate on the basis of monthly evolution and at final they call us for final interview
Domande di colloquio [1]
Domanda 1
They mostly asked from pyspark and sql.
In Pyspark they ask about functions ,action and transformation, spark architecture , prtition-by, window function, rank dens rank
in sql ;- simple questions,max sailory,2nd highest rank, sub quaries,
Ho presentato la mia candidatura tramite l'università. Ho sostenuto un colloquio presso Celebal Technologies (Bhubaneshwar) nel mese di set 2023
Colloquio
It went smoothly for 45 min. The interviewer was very supportive helped me whenever I got stuck. Interviewer was supportive and it went quite well. I was asked coding as well as theory based logical questions.
Ho presentato la mia candidatura tramite l'università. La procedura ha richiesto 2 giorni. Ho sostenuto un colloquio presso Celebal Technologies (Poona) nel mese di apr 2023
Colloquio
The interview was more on the easy to moderate side. The questions went from beginner to intermediate level. Interview went for about an hour and was asked about ML,Big Data, SQL and Python.
Domande di colloquio [1]
Domanda 1
#ROUND-1 : 3 Hour long proctored examination consisiting of 5 section 1) Apti and technical MCQ (20 ques) 2) Technical MCQ(45 ques) 3) Python Basic Code(1 ques) 4) Python DS code (2 ques) 5) SQL Query (2 ques) 1. Use case of your project(my project was Uber Fare prediction) 2. SQL : Joins,Index,Views,PLSQL, case, output questions based on queries and was asked to write queries 3. Big Data : Big Data Fundamentals 4. ML : Explain the model used in the project(Gradient Boost) 5. Python : Basic to Intermediate (no codes were asked though.
