The process took 5 days. I interviewed at Tiger Analytics (New Delhi)
Interview
So the process started from the technical round which was having only 2 case study based questions, Questions were very unrealistic and unnecessary for a data science role, 2nd round was a discussion round where they raised multiple questions about the past projects and given use cases during interview, After this one more round happened and in this round multiple Q&A takes place, and the result of the round mentioned below :
Ho=> Me=Selected
Ha=>Me !=Selected
Result>> p-value>> 0.00000031
Interview questions [1]
Question 1
Diffrance between Bagging and Boosting and many more questions
Technical rounds - 2
1st round:
Questions on fundamental concepts of Machine Learning
What are the assumptions of linear regression?
What is bias and variance?
What is Accuracy, Precision, Recall, Sensitivity, Specificity?
Python coding
Sorting a list
Traversing an array
Counting the number of duplicates in a list and storing them in a dictionary
SQL questions
Questions involving Window functions
Questions based on projects worked mentioned in the resume.
Technical round 2
Detailed discussion on any one of the projects mentioned.
Python coding
Mean imputation
Data manipulation using pandas
I applied online. The process took 4 weeks. I interviewed at Tiger Analytics in Mar 2024
Interview
5 rounds including coding round.
The HR discussion was terrible. The HR did everything in the HR discussion round except the actual HR discussion and finally, I was low-balled with an offer well below my expectation without any attempt to negotiate. Why would you ever consider someone as a candidate if your max budget is below their expectation?
Despite acing every round, I got rejected after the HR discussion for a very vague reason. The company may be a good place to work but the HRs are working very hard in not making it look like one. It's baffling to be rejected after the HR discussion round.
Interview questions [1]
Question 1
Questions in Statistics, ML algorithms, Transformers, LLMs, etc. General questions about past projects.
I applied online. The process took 3 weeks. I interviewed at Tiger Analytics
Interview
Round 1 - Coding round along with stats( medium level leetcode + basic stats testing your understanding at grassroots level) Round 2 - Coding round (intermediate python) Round 3 - Predictive Modelling related questions based on projects mentioned in the resume Round 4 - Scenario based predictive modelling questions based on projects mentioned in the resume
Interview questions [1]
Question 1
1) How do you do cross-validation for a time series dataset? 2) What are the challenges compared to the usual k fold cross-validation?