Ho presentato la mia candidatura tramite l'università. Ho sostenuto un colloquio presso OYO
Colloquio
Data Structures, ML optimization, Projects Where questions were asked based on arrays and discussed about projects and type of algorithms used for Machine Learning? Most of the discussion was about my projects, where l built projects based on Video Matrix Factorization.
Ho presentato la mia candidatura online. La procedura ha richiesto 3 settimane. Ho sostenuto un colloquio presso OYO (Bengaluru) nel mese di feb 2022
Colloquio
Started out good but ended as a very bad experience (WASTE OF TIME). I had 5 rounds with 1 being HR screening round and 4 technical rounds after which I was rejected without any feedback. All of them were pretty good and the interviewer was happy at my answers. Upon asking for feedback multiple times, the HR just turned blind eye and never responded with the exact reason.
After 4 rounds, the HR did not even call to reject you. It was just via email without any specific reason.
Domande di colloquio [1]
Domanda 1
Round 1: Basic profile matching round and getting expectations from both sides
Round 2 and 3 were purely of data science and machine learning fundamentals. I enjoyed as they were more like a generic chat among data scientists.
Round 4 was system design/ engineering round where some fundamental questions were asked.
Ho presentato la mia candidatura tramite l'università. La procedura ha richiesto 3 settimane. Ho sostenuto un colloquio presso OYO (Nuova Delhi) nel mese di gen 2022
Colloquio
The whole process consisted of 4 Rounds
1. Round 1 -> Test (Aptitude, SQL, ML, Python)
2. Round 2 -> Group Discussion
3. Round 3 -> ML Round 1 (Basics of ML, Resume, Stats)
4. Round 4 -> ML Round 2 (Bussiness Case Study in ML, Stats)
Domande di colloquio [1]
Domanda 1
IMP Questions
1. Given a set of features how would you determine the best features to select? (any one method)
2. DSA question based on Recursion (TBD only on Python)
3. How would you impute missing values in a dataset?
