SG Analytics Jr. Data Scientist Interview Questions and Answers

The apptitude was quiet simple and straight forward.

GD topics were very simple and easy.they just expected us to make points that were creative and different

Q1. Tell me something that you learnt technically Tell me something in which you failed about 20 to 30 Times
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Q2. Describe the project you worked on
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Q1. Explain any ML model.
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Q2. Create Dataframe from two lists.
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I was asked to write SQL queries for 3rd highest salary of the employee, some name filtering, group by tasks.
Python code to find the index of the maximum number without using numpy.

Q1. Explain the Project undertaken during the research and follow-up questions
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Q1. Write pandas query to separate the names as first and last name from the full name. Drop the duplicate columns and also the missing values. Write output for the Python code. Write SQL query to retrieve t...read more
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Answering questions related to data science concepts and techniques.
• Recall is the ratio of correctly predicted positive observations to the total actual positives. Precision is the ratio of correctly predicted positive observations to the total predicted positives.

• To reduce variance in an ensemble model, techniques like bagging, boosting, and stacking can be used. Bagging involves training multiple models on different ...read more
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