Hindustan Unilever Data Engineer Interview Questions and Answers

Q1. About the education and skills
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Q1. How much time can be saved while observation and bring it to solution
Ans. 
Time saved depends on complexity of problem and quality of data. Can range from hours to weeks.
• Time saved is directly proportional to the quality of data and complexity of the problem

• Simple problems with clean data can be solved in a matter of hours

• Complex problems with messy data can take weeks or even months to solve

• Efficient observation techniques and data cleaning can significantly reduce time taken to find a solut
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Q1. What's your next plan for the successful career
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Q1. About current job profile
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Q2. About family , company, job profile
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Q1. About family and work experience
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Q1. What is data analysis?
Ans. 
Data analysis is the process of inspecting, cleaning, transforming, and modeling data to discover useful information, draw conclusions, and support decision-making.
• Data analysis involves examining raw data to find patterns, trends, and insights.

• It includes cleaning and organizing data, performing statistical analysis, and creating visualizations.

• Data analysis helps businesses make informed decisions, improve processes,...read more
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Q2. What stack have you worked with
Ans. 
I have worked with a variety of stacks including Python, SQL, Tableau, and Excel for data analysis.
• Python

• SQL

• Tableau

• Excel
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Reasoning and mean,mode,median