Envié una solicitud electrónica. El proceso duró 4 semanas. Acudí a una entrevista en Tiger Analytics en mar 2024
Entrevista
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.
Preguntas de entrevista [1]
Pregunta 1
Questions in Statistics, ML algorithms, Transformers, LLMs, etc. General questions about past projects.
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
Envié una solicitud electrónica. El proceso duró 3 semanas. Acudí a una entrevista en Tiger Analytics
Entrevista
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
Preguntas de entrevista [1]
Pregunta 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?