There were 6 professors in the panel. The total duration was around 20 minutes. Interview held on 1st June 2023.
My gate rank is 983 and my score is 626 general.
P1 – Introduce yourself.
Me- Gave my introduction
P3 – Tell us about your Project.
Me – Answered
P2- Tell us more about it
Me- Explained the features and type of problem(It was a classification problem)
P4- What are the algorithms you used
Me- Discussed Naive Bayes, KNN, Logistic Regression, Random Forest, SVM for classification
P4-How you select the best algorithm?
Me- Explained Log loss correctly. I told them, logistic regression is performing better in terms of log loss
P4 – Write Logistic Regression Equation on board
Me- Wrote the Cost function equation and sigmoid equation.
P4- Explain how Logistic Regression works.
Me- Trying to explain taking Gradient Descent into consideration
P5- We are landing on different islands(He meant that they were not able to connect the dots)
Me- Drew a graph of gradient descent(convex function) and tried to explain but they were not satisfied
P6- Okay now tell me what you want to do in Research work
Me- Something related to NLP
P1- What is NLP
Me- Natural Language Processing
P5- Are you interested in Climate Study?
Me- said no but not directly
P6-Do you know Python
Me-Yes but I haven't practiced much since I was preparing for GATE
P4- So in what area do you want to work?
Me- In the health sector, genetics variation, predicting diseases, and automation of testing processes.
P6- Do you know Statistics
Me- Yes(with confidence)
P6- Tell us about Normal Distribution, and why it is useful
Me- Gave an answer but they were not satisfied
P6- Do you know about kurtosis, skewness, deviation
Me- I don't know about Kurtosis, but I know about skewness and deviation. explained Deviation
P4- Asked many questions related to the normal distribution and Random variable
Me- Answered a few of them. (In between I said “I don't know” more than 4 times)
P6- Are you interested in Statistics
Me – Absolutely
P1- Okay you can go now.
Me- Thank you, everyone
Result: Selected (result came via mail on 23rd June)
PS: P4 helped me a few times when I was about to say “I don't know”.
Resources you can follow:
-Machine Learning(Andrew Ng) : For detailed learning
-Machine Learning(Krish Naik): https://rb.gy/ovemb (For summary and brushing up)
-Linear Algebra(Gilbert Strang): https://rb.gy/ay1b0
-Probability(John Tsitsiklis): https://ocw.mit.edu/courses/6-041-probabilistic-systems-analysis-and-applied-probability-fall-2010/
Also, go through basic statistics topics like Mean, Median, Mode, Standard Deviation, etc.
Tips: They ask plenty of questions about your project, so prepare it thoroughly. If using some particular algorithms, then make sure you know the maths behind it. Do some research about the professor's work prior to the Interview. Professors are quite helpful when you are stuck, so try to take the hints. Have a positive attitude when you are not able to answer and accept your mistakes when you are wrong.
All the best!
