Candidatei-me de outra forma. Fui entrevistado pela Nitor Infotech, an Ascendion company (Pune) em ago. de 2025
Entrevista
Round 1: Group Discussion
Discussion on what are the challenges of Education System in India.
Round 2: Technical Round L1
All technical questions related to Machine learning, Deep Learning and NLP CV. Also, two coding questions
Round 3: Technical Round L2
More questions on Machine Learning and Deep Learning,
Round 4: HR Round
Job fit
Perguntas de entrevista [1]
Pergunta 1
Machine Learning Questions:
What is Bagging and Boosting?
What is Regularization?
Explain Lasso and Ridge Regularization. How do they help in Elastic Net Regularization?
Different Loss Functions in Machine Learning?
What is Cross-Validation?
What is Dimensionality Reduction in Machine Learning?
Deep Learning Questions:
What are Weights and Biases in Neural Networks?
What is an Activation Function and how does it work in Neural Networks?
What are Feedforward Neural Networks?
What is Gradient Descent and its Variants?
How to Avoid Overfitting in Neural Networks?
Fiz uma entrevista na empresa Nitor Infotech, an Ascendion company.
Entrevista
First round was Group Discussion which was mostly about how valid points you make
Then L1 - Tech round
Then L2 - Tech round
Then HR - about your core values
Candidatei-me por meio de uma faculdade ou universidade. O processo levou 3 dias. Fui entrevistado pela Nitor Infotech, an Ascendion company (Pune) em ago. de 2025
Entrevista
I was being interviewed of the role of Data Scientist - AI/ML. It had 4 roundes
1 GD
2 Technical interview
3 Technical interview
4 HR round
Technical rounds contained questions from ML, DL, Rag, SQL, VectorDB, Data Analytics, Generative AI, Agentic AI and few python easy level codes.
Entire process was very smooth and communication from the company side was very proactive.
