Me postulé a través de una recomendación de un empleado. Acudí a una entrevista en Nagarro (Nueva Delhi) en sept 2021
Entrevista
First round is IQ test - just play kbc you will clear it but if you try to read question then may be you dont get selected. Since you have to do 30 questions in 20 mins.
Second round - Coding - 3 questions easy to difficult just do any two you will grab it.
third round - technical - they gave you a dataset and ask your approach and basic handson
fourth round - technical - same as above .
Preguntas de entrevista [1]
Pregunta 1
I cleared every round but in last round the person was looking for an expertise. He want me to have knowledge of every aspects of datascience. If you are searching for a Machine Learning engineer then you wont look for OCR right. But he was so opposed that tell me this and that. I have given a lot interview and cleared as well . But I could say this person is hilarious. and wish in future he should struggle to grab a job. Hariram was really expecting a lot wrt Job description provided
There are 4 rounds of interview.
1. Aptitude test
2. Previous projects plus questions based on them . Questions based on statistics and probability distributions
3. Deep learning 1
4. Deep learning 2
5. HR discussion
They have asked intermediate questions based on the projects.
Preguntas de entrevista [1]
Pregunta 1
Bagging vs Boosting
How to identify skewness based on box plot
Binomial distribution
T test, z test
Optimisers in deep learning
Pyspark related questions
Two technical then Hr, client round if they require as per process.
Round 1 was easy 2nd round had secenario based questions.
Mostly specific to the use cases they require.
Past experience helps
The R1 went well and was scheduled quickly but it took a lot of time for them to schedule the 2nd round which happened after many cancellations from their end.
The second round didn't cover anything in my resume but was rather everything I have not worked upon.
Preguntas de entrevista [1]
Pregunta 1
1.How will you forecast for 10000 SKU's.
2.What is global vs local explainability.
3.What is your experience in Kubernets/Docker
