Ho presentato la mia candidatura tramite l'università. Ho sostenuto un colloquio presso Publicis Sapient (Kharagpur, West Bengal) nel mese di set 2021
Colloquio
There were two rounda staring with the technical one - The interviewer started with my intro then asked me about the projects i had done.
Couple of questions on it, then he asked my a simple python code, then asked me a puzzle, then questions on pandas dataframes were asked, couple of questions on probablity, Statistics and ML algorithms were also asked.
Second round was HR round he started with ny intro and gave me three situation based questions at the end he asked me about my family.
Domande di colloquio [1]
Domanda 1
Difference between precision and recall in Machine learning.
How to Find NaN values in dataframes.
SQL queries.
Ho presentato la mia candidatura tramite l'università. La procedura ha richiesto 4 settimane. Ho sostenuto un colloquio presso Publicis Sapient
Colloquio
The company conducted resume shortlisting through the campus portal, followed by online interviews on MS Teams. Onboarding was fairly straightforward, though overall experience was dampened by poor company culture and limited growth opportunities.
Domande di colloquio [1]
Domanda 1
RAG, KnowledgeGraphs
Leetcode dsa problem explicitly interviewer insisted that it should be solved in python only.
Ho presentato la mia candidatura tramite l'università. Ho sostenuto un colloquio presso Publicis Sapient (Bengaluru)
Colloquio
Two Rounds of Interview:-
Round 1 -
Few NLP questions from a Senior Associate Data Science. Asked me to code up Manhattan Distance and Euclidean distance between two n - dimensional points(in Python). Asked to explain Tokenization, Accuracy measures etc...
Round 2 -
HR round. Asked me to explain the projects in the resume. And a few classic HR questions like experiences of working in a team.
Domande di colloquio [1]
Domanda 1
Coding the Manhattan and Euclidean distances between two n dimensional points
It was online interview via zoom, first there was a test which had machine learning, deep learning question which were easy, coding question from leetcode which were average in difficulty level