Tiger Analytics Data Scientist Interview Questions, Process, and Tips

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 terminologies used.
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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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OOPS concept and Dynamic Programming coding challenges

First round - coding assessment

Q1. Dicision Tree algorithm
Ans. 
Decision Tree algorithm is a supervised learning algorithm used for classification and regression tasks.
• Decision Tree algorithm is based on a tree-like model of decisions and their possible consequences.

• It uses a set of rules to split the data into branches and make predictions at the leaf nodes.

• The algorithm selects the best attribute to split the data based on certain criteria like information gain or Gini index.

• Deci...read more
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