Solicité el puesto a través de la recomendación de un empleado. El proceso duró 2 semanas. Acudí a una entrevista en OYO (Gurgaon, Haryana)
Entrevista
Note- I was Snapdeal employee at the time of process and Snapdeal was laying off employee at that time. I was not being laid off but searching nevertheless.
I applied via internal referral process(via friend), Hiring Process started within a day after applying.
During my first call with HR, she insisted to come to office next day. I politely refused for that and instead asked for telephonic interview round in order to understand the role. She agreed.
Next day I received the call and the guy walked me through role and responsibilities. Guy asked about my previous projects, I walked him through my resume. He asked me to wait for HR to schedule another round with someone from data science team.
Within days I recieved another call this time guys asked me about my previous projects and basic ML Algorithms ( linear regression, L1, K2, when to use them). Interview was good. He then passed on the feedback to HR and HR then scheduled a third and final round.
During third round I was asked HR type Questions regarding motivation to join and layoff scene at snapdeal. He was satisfied.
For days i didn't receive any call from HR.
After around 2 weeks my friend texted me to ask if I can join at 10% increment. I asked him why company not sending me offer letter and why is he involved in the process. He had no answers. I was stunned at the impotence of Oyo room to directly negotiate with me at this juncture. Such action made my mind to not join Oyo under any circumstances.
I know during layoff other companies don't pay well, that's normal. What's not normal is the company's method to negotiate I.e. using a friend (which is not even in the HR team) to ask, that too without providing offer letter.
Now in the end my friend asked me about my expectations for CTC to which I replied: N/A, not interested in the company.
Later that month i converted two positions with reputed firm at 70% and 90% increment.
I advice not to trust Oyo HR practices as the HR dept is c#.
Preguntas de entrevista [1]
Pregunta 1
What's Linear regression ? Explain L1, L2 regularisation ? How did you use regression in your previous projects?
Solicité el puesto a través de la escuela superior o la universidad. Acudí a una entrevista en OYO
Entrevista
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.
Envié una solicitud electrónica. El proceso duró 3 semanas. Acudí a una entrevista en OYO (Bengaluru) en feb 2022
Entrevista
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.
Preguntas de entrevista [1]
Pregunta 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.
Solicité el puesto a través de la escuela superior o la universidad. El proceso duró 3 semanas. Acudí a una entrevista en OYO (Nueva Delhi) en ene 2022
Entrevista
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)
Preguntas de entrevista [1]
Pregunta 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?