Ho presentato la mia candidatura tramite l'università. Ho sostenuto un colloquio presso Amazon (Hyderabad) nel mese di gen 2025
Colloquio
The interview process began with an online assessment to screen candidates. The first technical round was focused on DSA (Data Structures and Algorithms), testing problem-solving and coding skills. The second round was a Machine Learning depth and breadth round, primarily focused on deep learning concepts, model evaluation, and statistics. Behavioral questions based on Amazon’s Leadership Principles were also asked. Each round lasted around 45–60 minutes. Overall, it was challenging but structured.
Domande di colloquio [1]
Domanda 1
Explain how you would handle an imbalanced dataset in a classification problem.
There were two back-to-back rounds: one hour of behavioral questions focused on leadership principles, 30 minutes on statistics and machine learning, one SQL histogram question, and one Python question for 30 minutes.
Ho sostenuto un colloquio presso Amazon (Seattle, WA)
Colloquio
I had 2 rounds of interview. One was behavioural based on leadership principles + coding round based on DSA and the second round was technical focussing on Data science and ML fundamentals.
Domande di colloquio [1]
Domanda 1
Explain the end - to - end data processing pipeline.
Ho presentato la mia candidatura tramite segnalazione di un dipendente. La procedura ha richiesto 4 settimane. Ho sostenuto un colloquio presso Amazon (Seattle, WA)
Colloquio
1) Recruiter call
2) 2 rounds of each 1 hour technical questions + Behavior questions
1) Technical: Coding with SQL, and Pandas
2) Behaviour: Amazon Principal
3) Confusion matrix -- very detailed, you need to know what you saying
Domande di colloquio [1]
Domanda 1
1) Technical: Coding with SQL, and Pandas
2) Behaviour: Amazon Principal
3) Confusion matrix -- very detailed, you need to know what you saying
