Zummit InfoLabs Interview Experience For Data Science Internship

Round 1:

Resume shortlist round from pool of applicants. Decent cgpa and resume can anyone get shortlisted easily.

Round 2: Telephonic Discussion

• Self-introduction
• About Projects
• How do you lead your team if you are the leader of a small team
• Asked to schedule an interview

Round 3: Technical Round

• Self-introduction
• Asked me to walk through your resume
• Difference between machine learning and deep learning
• The best algorithm for getting a higher accuracy
• Deep learning applications
• How do you handle the null values?
• Tell me about the pandas, numpy and how you install them.
• What is a hidden layer?
• Difference between RNN and LSTM?
• What is CNN? why it is used for image classification especially?
• What is a K-means Algorithm?
• Tell me what are the clustering algorithms you know?
• How do you increase the model’s accuracy? what are the steps need to follow?
• What is overfitting and underfitting?
• Activation function and its types
• What is a feed-forward neural network?
• What is hyperparameter tuning?

Verdict: After a week got the offer letter through mail.