Signify Senior Data Analyst Interview Questions and Answers

Detailed case with four questions, required intensive number crunching and data analysis.
Suggestions: Stick to your basic understanding of the problem statement and state all your assumptions clearly.

A real business case was presented in a group of 5-7 people. Each one of us was given a specific role and we were told to discuss the case as a group and come up with a detailed solution.
A brief description of your answers/approach: We discussed the problem in hand from different angles - considering each function in detail. In the end of the discussion, we presented the business model of our idea to the Apple representatives in the form of a presentation.

Q1. Tell me about yourself
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Q2. Tell me about a time when you had to deal with a difficult colleague
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Q3. Biggest achievement
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Q4. Resume based questions
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Q5. Next part of the interview was case presentation - the at-home case we submitted before the GD round. We were given 10 minutes to give a detailed PPT on the case, which was followed by 30 minutes of Q&A se...read more
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1 hour baisc on general aptitude

It was simple but lengthy

Q1. Tell me about yourself
Ans. 
I am a data analyst with a strong background in statistics and data visualization.
• Graduated with a degree in Statistics

• Proficient in programming languages like Python and R

• Experience in analyzing large datasets and creating data visualizations

• Strong problem-solving skills
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Q2. About resume and technical
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Q1. Tell me about yourself
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Q1. About yourself n work profile
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Python test on list : reverse a list using a single array

Data ingestion architecture

Q1. What are the ways you can use to filter columns using list comprehension?
Ans. 
Filter columns using list comprehension by specifying conditions in a concise and readable way.
• Specify the condition within square brackets after the column name

• Use the 'if' statement to filter the columns based on the specified condition

• Example: [column for column in columns if column != 'unnecessary']
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Q1. Tested my knowledge around different ML models, like regression, classification etc
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Q1. Asked about previous work experience
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Q2. Explain about your skills
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