Tiger Analytics Data Scientist Interview Questions, Process, and Tips

Python questions moderate to difficult

• Q1. Introduction about self
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• Q2. Python basics like list, dictionary
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Screening round,2 programming and 5 MCQs

• Q1. Basic python coding questions
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• Q1. Based on CV , previous projects
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• Q1. General HR discussion
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Asked 2 to 3 python coding question...

This round Medium level leet code question

Cpg case study logistic regression linear regression

• Q1. Job switch reason past project experience
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Hacker rank python and SQL coding test

• Q1. Project experience related questions
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Was given a case study to solve for

Platform HackerEarth
9 Questions
2 Coding Questions on Python based on Dynamic Programming
7 Questions MCQ on Data Science and SQL

• Q1. Data Science Projects discussion Python Coding by sharing screen
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• Q1. Data Science Projects Detailed Questions
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• Q2. In Depth Knowledge on any one of your project.
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• Q3. Cross Questioning on Regression, Classfication Problems. Dummy Variable Trap Statistics Questions
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• Q4. Questions on Deep Learning Models working and architecture like RNN Exploding/Vanishing Gradient Problem, Solutions like LSTM, CNN model working and different t...read more
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• Q1. Again this round was pure Technical. All questions were on Data Science Projects and scenario based. 2 Questions on Probability and puzzle based.
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• Q1. Final Round Discussion about Company's Policies and Roles. Your Expectations from the company, the kind of role you are looking for and why Tiger.
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