I applied through a recruiter. The process took 1+ week. I interviewed at Tiger Analytics (Bengaluru) in Sep 2023
Interview
Round 0: online test on find the p value, z score, and data science related conceptual questions , python code snippets. And 2 python coding problem(solve all easy level questions on leetcode especially on strings and lists)No questions on SQL. Round 1: about recent project and questions on every single line is code in that project and again 2 live coding problem on string and list. Round 2: very disappointed with the panel of this round, very tough questions on logistic and linear regression, The mathematics behind those models
Interview questions [4]
Question 1
Different imputation techniques, to handle skewed data, to fix outliers
What’s the mathematics behind logistic regression, how to evaluate multiple classification output, explain every evaluation metric of GLM and OLS method, like what’s Pseudo R-square, F statistic, AIC, BIC, Durbin Watson, Jarque bera and again 2 live python coding questions and even after producing the required output he asked to further simply. These questions were asked in 2nd round, I was stunned with the level of questions for a senior data analyst role, I can understand if these were asked for senior data scientist position, my bad luck, failed in 2nd round
I applied online. I interviewed at Tiger Analytics (Bengaluru)
Interview
interview round took place in 4 stages. first introduced yourself. explain project that you have worked on. question will be asked on the basis of it. and finally you have to answer some python questions
I applied online. The process took 1 week. I interviewed at Tiger Analytics (Hyderābād) in May 2023
Interview
There are 4 step:
1. Resume shortlisting
2.coding test (2 python program and 1 sql question ) easy to moderate level
3.Interview 1 (basic of python , ml , stats, and some easy-level probability questions and project-related understanding)
4. this is the main interview with manager, where they understand work and question can be from anywhere mostly previous work
5. Last is HR round (salary discussion)
Interview questions [1]
Question 1
1. Bias-Variance tradeoff
2. supervised learning algo
3. Random forest working
4. program to check if given number is power of 3.
