Evoke Technologies Data Scientist Interview Questions and Answers

Q1. Proficiency in cloud technology
Ans. 
Proficiency in cloud technology is essential for data scientists to efficiently store, manage, and analyze large datasets.
• Experience with cloud platforms like AWS, Azure, or Google Cloud

• Knowledge of cloud storage solutions like S3, Blob Storage, or Cloud Storage

• Understanding of cloud computing concepts like virtual machines, containers, and serverless computing

• Ability to work with big data technologies like Hadoop, Spa
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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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Q1. Profile discussion based on resume
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SQL test based on queries output

Q1. Technical round based on resume
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Q2. Sql question based on query and technical discussion on various technology
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Q1. Project and responsibilities based on resume
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Q1. Can you describe your skills and previous work experience?
Ans. 
I have strong analytical skills and experience in data manipulation, visualization, and interpretation.
• Proficient in SQL, Python, and R for data analysis

• Experience with data cleaning, transformation, and visualization tools such as Tableau and Power BI

• Strong background in statistical analysis and hypothesis testing

• Previous work experience includes analyzing sales data to identify trends and make recommendations for imp
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2 coding questions in 45 min

Q1. Basics of java and frameworks
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Q2. Basics of SQL and types of queries
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30 min of logical reasoning and basic aptitude

30 min of GD over a general topic to check your communication skills

Q1. Why do you want to join our company
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Q2. Why should we hire you
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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
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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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