Tiger Analytics Senior Data Scientist Analyst Interview Questions and Answers

Blood Relations, Pipes and Cisterns, Time and work etc.

Question based on hashmap

Is Artificial Intelligence boon or ban.

Q1. Python and SQL questions
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Q2. Python and Numpy, Pandas
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Q1. Basic SQL questions
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Q2. Statistical questions
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Difficult aptitude, had to solve a lot of problems in 2 hrs

GD topic was "online vs offline education "

Q1. SQL question on self join
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Q2. Guesstimate on number of cars sold in delhi
Ans. 
Approximately 1.5-2 million cars are sold in Delhi annually.
• Consider population of Delhi (approx. 20 million)

• Assume car ownership rate (approx. 10%)

• Factor in replacement rate and new buyers
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Get questions from all topics and medium level questions

They give one topic and provide one minute for thinking its overall 30 min discussion

Q1. Total technical rounds 1)basic resume questions, python and sql questions. 2)same round 1 but a little bit extra dose 3) managerial round
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Q2. List, tuple, oops concept. joins from sql
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Q1. Why latent view why analytics best achivemnts
Ans. 
Latent view and analytics are essential for data-driven decision making. My best achievement is developing a predictive model for customer churn.
• Latent view helps to uncover hidden patterns and insights in data that are not immediately apparent.

• Analytics provides a systematic approach to analyzing data and extracting meaningful insights.

• My best achievement is developing a predictive model for customer churn that helped
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It was easy to approach!

Discussions about common topics like boon or bane to society

Asked about the scenarios

Q1. Technical round related to skills and resume
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Q1. Discussions regarding work culture and compensations
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Q1. All basic concepts of pthon sql and ml
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Apptitude, tecncal, cognitiive

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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