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Indegene Data Analyst Interview Questions and Answers
Indegene Data Analyst Interview Experiences
8 interviews found
Anonymous
Selected
I applied via Naukri.com and was interviewed before May 2023. There was 1 interview round.
(1 Question)
- Q1. SQL questions mostly around CTE
Interview Preparation Tips
Number of questions were asked over given dataset
(1 Question)
- Q1. Discussion over the earlier projects, some python and SQL questions.
(1 Question)
- Q1. Managerial round , discussion over data analytics and real world data analysis problems
(1 Question)
- Q1. About background ,yourself,why changing job,family and salary negotiations
Interview Preparation Tips
I applied via Recruitment Consulltant and was interviewed in Feb 2022. There was 1 interview round.
(1 Question)
- Q1. Self Introduction, Previous work process and technical questions based on your applied role
Interview Preparation Tips
- Python
- SQL
- Data Analysis
What people are saying about Indegene
Prepare the assignment in attractive manner and maintain the flow
(1 Question)
- Q1. Learn the basic concepts and explain your project in detailed manner
(4 Questions)
- Q1. What are your salary expectations?
- Q2. Share details of your previous job.
- Q3. Why are you looking for a change?
- Q4. Tell me about yourself.
Interview Preparation Tips
Indegene interview questions for designations
I applied via Approached by Company and was interviewed in Sep 2021. There were 4 interview rounds.
It was a data set and my task was to find oit the different types of sales trend weekly, monthly, city wise and gender wise.
(1 Question)
- Q1. It was technical interview related to different types of tools and trchnology related, like differnt types of questions relatedcto ml, python, tableau, powerbi, excel and many more
(1 Question)
- Q1. It was another technical interview based on project and mid level tools and tecjnology related discussion
(4 Questions)
- Q1. What are your salary expectations?
- Q2. What is your family background?
- Q3. Why should we hire you?
- Q4. Tell me about yourself.
Interview Preparation Tips
I was interviewed in Apr 2021.
Round duration - 120 Minutes
Round difficulty - Easy
After the resume shortlisting, we were given a test link which needs to be done within 24 hours after getting it.
There were questions from Aptitude , Machine Learning, Probability , Excel and SQL
Round duration - 120 Minutes
Round difficulty - Easy
(1 Question)
Round duration - 45 Minutes
Round difficulty - Medium
We were asked to explain the Tableau Dashboard in detail. Some additional questions were also asked from Tableau. ML and Deep Learning questions were also asked along with a standard gfg puzzle.
- Q1. What questions were you asked regarding Machine Learning, specifically in exploratory data analysis, the basics of deep learning, and can you describe the puzzle that was presented?
Round duration - 30 Minutes
Round difficulty - Easy
One business case study was asked.
Round duration - 20 minutes
Round difficulty - Easy
Standard HR questions were asked.
Interview Preparation Tips
Tip 1 : We need to be clear with basics of differentiation calculus and probability to get a good understanding of ML algorithms.
Tip 2 : Also, we tend to ignore statistics , but statistics should not be skipped at any cost.
Tip 3 : There should be atleast 2-3 good ML projects for which you are fully confident. You can have one project for topics like supervised learning , unsupervised learning, recommendation systems and if possible deep learning project can also be included.
Tip 4 : You should be fair enough with any one visualisation tool like Tableau, Power BI etc.
Tip 5 : Practice as much as you can from kaggle
Tip 1 : Needs to have atleast 2 ML projects.
Tip 2 : Things like Excel, SQL , and Tableau should be mentioned in the resume.
Tip 3 : Certifications for ML and Excel, SQL and Tableau will help you getting shortlisted.
Tip 4 : And last but not the least, any false thing should not be included if you are not at all aware of it.
Skills evaluated in this interview
I was interviewed in Apr 2021.
(1 Question)
Round duration - 45 Minutes
Round difficulty - Medium
- Q1.
Find the Second Largest Element
Given an array or list of integers 'ARR', identify the second largest element in 'ARR'.
If a second largest element does not exist, return -1.
Example:
Input:
ARR = [2,...
- Ans. Simple solution
The idea is to sort the array in decreasing order and return the second largest element in the array.
- Sort the array in decreasing order.
- We can create a function to sort the elements using a sorting algorithm such as quicksort or use inbuilt sorting functions.
- Traverse from index 1(0-based indexing) because the element at index 0 will clearly be the first largest and check whether duplicates of the larger ...
Round duration - 20 Minutes
Round difficulty - Easy
Interview Preparation Tips
Tip 1 : Start with basic probability and statistics
Tip 2 : Prepare Machine Learning well
Tip 3 : Be good with any visualisation tool like Tableau
Tip 4 : Do some problems on kaggle
Tip 1 : Provide certifications for SQL, Machine Learning etc.
Tip 2 : Include some good ML projects in the resume
Skills evaluated in this interview
I was interviewed in Apr 2021.
Round duration - 120 minutes
Round difficulty - Easy
After the resume shortlisting, we were given a test link which needs to be done within 24 hours after getting it.
There were questions from Aptitude , Machine Learning, Probability , Excel and SQL
(1 Question)
Round duration - 45 Minutes
Round difficulty - Medium
We were asked to explain the Tableau Dashboard in detail. Some additional questions were also asked from Tableau. ML and Deep Learning questions were also asked along with a standard gfg puzzle.
- Q1. What questions were you asked regarding Machine Learning, specifically in exploratory data analysis, the basics of deep learning, and can you describe the puzzle that was presented?
Round duration - 30 Minutes
Round difficulty - Easy
One business case study was asked.
Round duration - 20 minutes
Round difficulty - Easy
Standard HR questions were asked.
Interview Preparation Tips
Tip 1 : We need to be clear with basics of differentiation calculus and probability to get a good understanding of ML algorithms.
Tip 2 : Also, we tend to ignore statistics , but statistics should not be skipped at any cost.
Tip 3 : There should be atleast 2-3 good ML projects for which you are fully confident. You can have one project for topics like supervised learning , unsupervised learning, recommendation systems and if possible deep learning project can also be included.
Tip 4 : You should be fair enough with any one visualisation tool like Tableau, Power BI etc.
Tip 5 : Practice as much as you can from kaggle
Tip 1 : Needs to have atleast 2 ML projects.
Tip 2 : Things like Excel, SQL , and Tableau should be mentioned in the resume.
Tip 3 : Certifications for ML and Excel, SQL and Tableau will help you getting shortlisted.
Tip 4 : And last but not the least, any false thing should not be included if you are not at all aware of it.
Skills evaluated in this interview
Interview questions from similar companies
I applied via Referral and was interviewed in Sep 2024. There was 1 interview round.
(5 Questions)
- Q1. Python string is changable or not
- Ans.
Python strings are immutable, meaning they cannot be changed once created.
Python strings are immutable, so any operation that appears to modify a string actually creates a new string object.
For example, when you use string concatenation or slicing, a new string is created instead of modifying the original string.
To modify a string in Python, you would need to create a new string with the desired changes.
- Q2. Sql window function ?
- Q3. Difference between having and where cause
- Ans.
HAVING is used with GROUP BY to filter groups, WHERE is used to filter rows
HAVING is used with GROUP BY clause to filter the groups based on aggregate functions
WHERE is used to filter rows based on conditions
HAVING is applied after the GROUP BY clause, WHERE is applied before
HAVING can only be used with SELECT statement that contains a GROUP BY clause
Example: SELECT department, AVG(salary) FROM employees GROUP BY depar...
- Q4. Sql union and union all
- Q5. Python using remove duplicate value
- Ans.
Use Python's set() function to remove duplicate values from an array of strings.
Convert the array to a set to automatically remove duplicates
Convert the set back to a list if needed
Skills evaluated in this interview
Rishu Paul
They will ask aptitude, reasoning and other questions as an online test to know your problem solving skills.
They will give a topic where either we have to speak or write on that topic
(2 Questions)
- Q1. Intro, questions related to python, guesstimate questions
- Q2. Behavorial questions and other hr questions included
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Indegene Data Analyst Interview Process
based on 1 interview
2 Interview rounds
- Assignment Round
- Technical Round
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Indegene Data Analyst Reviews and Ratings
based on 26 reviews
Rating in categories
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