Jotter.ai Data Scientist Interview Questions and Answers

Basic quants,lrdi and coding round

Q1. Basic questions on sql and python, past projects
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Q1. Basic questions
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Python coding and sql coding

Q1. List all the string which start with 'a'
Ans. 
List of strings starting with 'a'
• Use a loop to iterate through each string

• Check if each string starts with 'a'

• Add the string to the list if it starts with 'a'
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Q2. Find out max value from the given table
Ans. 
Use SQL query to find max value from a table
• Use SQL query SELECT MAX(column_name) FROM table_name;

• For example, SELECT MAX(salary) FROM employees;

• Ensure proper column name and table name are used in the query
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Basic python sql questions, mcq based and coding questions.

Q1. They asked the projects which I am working on and had discussion on the same. Asked few statistical questions like boxplots and normal distribution. Also asked basic questions on advance SQL
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Q1. Problem solving questions. Gave a case study to check presence of mind
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Q1. Basic salary discussion
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General aptitude basics

Mcq and basic ml model building

Python sql basic questions

Basic test with Data Structures, algorithms, SQL questions

Q1. Questions about basic ML Algorithms
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Basic statistics questions and coding questions on modeling

Q1. Discussion was mainly on the project I have worked on
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Q1. Project discussion 2 case studies Questions on sensitivity analysis Precision recall with non binary data
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Q1. How would you solve conflicts between two people in your team? Why are you leaving your company?
Ans. 
To solve conflicts between two people in my team, I would encourage open communication, facilitate a discussion, and find a mutually agreeable solution.
• Encourage open and honest communication between the two individuals involved

• Facilitate a discussion where both parties can express their concerns and perspectives

• Identify common ground and areas of agreement

• Encourage empathy and understanding towards each other's viewpo...read more
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Machine learning MCQ questions. 2 model-building questions.

Q1. Basic statistics, concertation of any ML algo based on the project on resume or previous works,
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Q1. Interview with data science manager. Mostly focuses on projects on your resume.
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Q1. Salary related discussion and basic HR questions.
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