Solicité el puesto a través de un captador. El proceso duró 4 días. Acudí a una entrevista en Applied Data Finance (Nueva Delhi) en jul 2021
Entrevista
Applied through online got the interview with one of the Director of that company. That round goes very well but after that no feedback is provided from them. Interview experience is quite good they know the ability of a fresher.
Preguntas de entrevista [1]
Pregunta 1
Brief about yourself
All questions based on your behaviour and thinking skills.
Acudí a una entrevista en Applied Data Finance (Chennai)
Entrevista
Technical Interview and for 3 rounds by tech team and one HR round by the HR team. It was medium level, interactive and role relevant and they asked me questions based on my resume and skill set and projects.
Envié una solicitud electrónica. El proceso duró 2 semanas. Acudí a una entrevista en Applied Data Finance (Chennai) en sept 2021
Entrevista
There were 3 rounds for me.
1. They shared a Test link with 9 questions related to Pandas, Numpy, SQL. level of the question was very easy.
2. 2nd interview was on a Microsoft meeting at around 9 PM. interviewer joined 10min let. he don't know about my background and even he didn't check my resume.
he asked simple programming questions and 2-3 simple algorithms. then he asked about SQL so I simply tell that's these things I already cleared in 1st test round. he was like did you already given the test? and then he directly ends the interview.
3. next day I got called for the third round and she told me that they will arrange 3rd round in 2days but didn't got mail for a week. she called me again after a week and the interview was conducted the next day.
the interviewer was a good person question was good related to the position only. he also asked a little bit about credit cards and loans.
3rd interview was good and the interviewer has also given good feedback and asked about expectations and notice period but didn't get any call from HR.
Preguntas de entrevista [1]
Pregunta 1
NumPy, pandas, SQL, Python programming, Machine Learning, Deep Learning, LSTM, AUC-ROC, Embedding layer, little bit domain-related (credit card, credit score, credit bureau, and loan)