Tiger Analytics Interview Questions, Process, and Tips

Q1. Technical concepts in Hadoop, Spark, FileSystem, Hive. Cultural questions.
Add your answer

Upselling and cross selling of lemding products

Q1. Around analytics around case study presented
Add your answer

Q1. Basic sql, excel and case scenarios
Add your answer

Q1. Cultural and fitment
Add your answer

Q1. Questions were around Kubernetes deployments, autoscaling, networking, Terraform etc
Add your answer

Q1. More on the problem solving questions
Add your answer

Q1. About package and roles
Add your answer

We were provided with 3 basic data stucture questions all three were leetcode medium easy question. Total time alloted was 1hr for three questions.

2nd round was again coding round but this time question level was hard plus 10 MCQs were also given based on basic computer science knowledge.
There were 2 data structure question that was leetcode medium hard questions.

Q1. How can you prove to the client that a students with higher classes are taller than that of lower classes?
Ans. 
We can use statistical analysis to prove that students in higher classes are taller than those in lower classes.
• Collect height data of students from different classes

• Use statistical measures like mean, median, and mode to compare the heights of students in different classes

• Perform hypothesis testing to determine if the difference in height between classes is statistically significant

• Visualize the data using graphs and ...read more
Answered by AI
View 3 more answers
Q2. Compare two arrays in python and print if both of them are same or not?
Ans. 
Compare two arrays in python and print if both of them are same or not.
• Use the '==' operator to compare the arrays.

• If the arrays have the same elements in the same order, they are considered the same.

• If the arrays have different elements or different order, they are considered different.

• Print 'Same' if the arrays are the same, otherwise print 'Different'.
Answered by AI
View 2 more answers
Q3. What is permutation and combination and how is it used in data science?
Ans. 
Permutation and combination are mathematical concepts used to count the number of possible outcomes in a given scenario.
• Permutation is the arrangement of objects in a specific order while combination is the selection of objects without considering the order.

• Permutation formula: nPr = n!/(n-r)! where n is the total number of objects and r is the number of objects selected.

• Combination formula: nCr = n!/r!(n-r)! where n i...read more
Answered by AI
Add your answer

Python programming 2 questions, 7 MCQs on data science, ml, statistics

Q1. Project related questions, basic data science conceptual questions, scenario based questions
Add your answer

There were 4 sections-
1.Big data-some multiple choice questions
2.Python-2 basic programming questions
3.SQL-4 case questions on SQL queries
4.Pyspark-Basic multiple choice questions

Same as round 1 but there were no multiple choice questions,it was a subjective paper where they check your thought process and your approach.

Q1. Technical interview was based on -Your project discussion -Big data terminologies,Spark framework,working and architecture -Some case study questions and how you could have optimized it. -SQL basic querie...read more
Add your answer

Q1. Share details of your previous job.
Add your answer
Q2. Why are you looking for a change?
Add your answer
Q3. What are your salary expectations?
View 1 more answer
Q4. Tell me about yourself.
Add your answer