LatentView Analytics Interview Questions, Process, and Tips

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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There were 48 questions to be done in 60 minutes.
the platform used was below average.
about 1400 gave the test

The Next round was a GD.
about 250 were shortlisted.
it was held in groups of 10 - 13.
there were 2 Panelists observing the body language, the fluency and time you speak for.
It is very important that you either start or conclude the GD.
leaves a good impression.

Q1. Tell me about yourself
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Q2. What is Data Analysis?
Ans. 
Data analysis is the process of inspecting, cleaning, transforming, and modeling data to discover useful information.
• It involves collecting and organizing data

• It includes statistical analysis and visualization

• It helps in making informed decisions

• Examples include market research, financial analysis, and scientific research
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Q3. SQL Queries using Joins and sub-queries
Ans. 
SQL Queries using Joins and sub-queries
• Joins are used to combine rows from different tables based on a related column

• Sub-queries are queries nested within another query

• Joins and sub-queries can be used together to retrieve specific data from multiple tables
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Q4. Many questions about projects mentioned in the resume.
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Q5. Estimation and probability questions were asked to see the way you approach a question logically.
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Q1. Tell me about Yourself
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Q2. Again Questions based on resumes
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Q3. Some Regular HR Questions like why latent view, where to do you yourself in 5 years.....etc.
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Q4. Any questions for me?
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Q1. Simple time based gaming assessment. Answer 5 questions and share video. Tell me about yourself Why data engineer What interests you ..
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Q2. Just prepare your introduction and questions like why you are good fit, why data engineering. General questions
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Q1. Resume Projects Scenario based questions on data analytics or big data solutions Puzzle Anything you want to ask
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Q1. Resume Questions on Projects Machine learning algorithms Sql (very basic) Opps questions Pandas aggregation functions Scenario based questions from analytics domain Do you have any questions
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Q1. Tell me about yourself Projects Ready to relocate What you know about company How you heard about opportunity Achievement Biggest challenge overcome Any offer letter
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The test was for 1hr around. Topics: Quantitative Analysis, Verbal, Reasoning, and Basic Programming.

The group discussion was held on the topic of "Is online business a Boon or a Bane? Support or oppose the motion with reasons."

Q1. SQL: 2nd max number from a column stored in a table.
Ans. 
Use SQL query with ORDER BY and LIMIT to find 2nd max number from a column in a table.
• Use SELECT MAX(column_name) to find the max number in the column.

• Use SELECT column_name FROM table_name ORDER BY column_name DESC LIMIT 1,1 to find the 2nd max number.

• Example: SELECT column_name FROM table_name ORDER BY column_name DESC LIMIT 1,1;
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Q2. SQL: Select all employees whose employee IDs are odd.
Ans. 
Use SQL query to select employees with odd employee IDs.
• Use the modulo operator (%) to check if employee ID is odd (e.g. id % 2 = 1)

• Write SQL query like 'SELECT * FROM employees WHERE employee_id % 2 = 1;'
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Q3. SQL: Group all employees by department whose salary is greater than 50,000.
Ans. 
Group employees by department with salary > 50,000 in SQL.
• Use GROUP BY clause to group employees by department.

• Use WHERE clause to filter employees with salary > 50,000.

• Example: SELECT department, COUNT(employee_id) FROM employees WHERE salary > 50000 GROUP BY department;
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Q1. It had mostly behavioral questions and salary expectations.
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