KANINI Software Solutions Data Scientist Interview Questions and Answers

Basic aptitude question

Q1. Basic analysis and ML questions , more focused on approach instead of coding
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Q1. As like other HR rounds
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Online aptitude test have been coundected

Q1. About the data procesig and projects on data science
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Q1. Tell me about yourself.
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Q1. Tell me about yourself.
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It comprised basic verbal,quants and logical questions of average difficulty.

This is an easy round to get through if you have a strong command of the English language and are able to speak confidently.Very general topics asked.

Q1. Basic Machine Learning questions ( as I mentioned it in my resume)
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Q2. Testing how you would be able to apply those concepts to real world scenarios
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Q3. Generic logical puzzles
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Q4. Basic python programs (3 to 4 questions)
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Q1. Asked more about projects mentioned in resume.
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Q2. Tested basic business sense and awareness.
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A game round comprising logical puzzles and games.

Q1. Tell me about yourself ( standard intro)
Ans. 
I am a data analyst with a strong background in statistics and programming.
• Proficient in statistical analysis and data visualization tools such as Python, R, and Tableau

• Experienced in analyzing large datasets and identifying trends and patterns

• Skilled in creating reports and presentations to communicate data-driven insights

• Strong problem-solving and critical thinking skills

• Ability to work collaboratively in cross-funct...read more
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Q2. Asked more about the roles of teammates in group projects listed in resume.
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Q3. Asked more about myself and whether I could manage the commute to their office
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Multiple sections on cognitive ability, quant and logical reasoning.
1 coding question

Easy
50% went to next round

Q1. Technical: SQL, DBMS, Basic programming questions- palindrome, fibonacci, discussion on projects and internships
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Q2. Difference between UNION and UNION ALL
Ans. 
UNION combines and removes duplicates, UNION ALL combines without removing duplicates.
• UNION merges the results of two or more SELECT statements and removes duplicates.

• UNION ALL merges the results of two or more SELECT statements without removing duplicates.

• UNION is slower as it has to remove duplicates, while UNION ALL is faster.

• Example: SELECT column1 FROM table1 UNION SELECT column1 FROM table2;

• Example: SELECT column...read more
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Q3. Types of SQL commands
Ans. 
SQL commands include SELECT, INSERT, UPDATE, DELETE, CREATE, and DROP.
• SELECT: retrieves data from a database

• INSERT: adds new records to a table

• UPDATE: modifies existing records in a table

• DELETE: removes records from a table

• CREATE: creates a new table, view, or index

• DROP: deletes a table or index
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Q1. Common HR questions
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Online platform,
SQL coding

Q1. In a one-on-one technical round, all they will ask around your resume
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Q1. Basic HR question on salary and personal backgroung
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