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Indegene
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I applied via Naukri.com and was interviewed before May 2023. There was 1 interview round.
Number of questions were asked over given dataset
I applied via Recruitment Consulltant and was interviewed in Feb 2022. There was 1 interview round.
Prepare the assignment in attractive manner and maintain the flow
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.
I appeared for an interview 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
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.
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.
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.
I appeared for an interview in Apr 2021.
Round duration - 45 Minutes
Round difficulty - Medium
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.
ARR = [2,...
Find the second largest element in an array of integers.
Iterate through the array to find the largest and second largest elements.
Handle cases where all elements are identical.
Return -1 if a second largest element does not exist.
Round duration - 20 Minutes
Round difficulty - Easy
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
I appeared for an interview 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 - 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.
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.
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.
I appeared for an interview in Mar 2017.
I believe the recruiting process is thorough and well-organized.
The company uses a combination of resume screening, interviews, and assessments to evaluate candidates.
They have a clear timeline for the hiring process and keep candidates informed of their progress.
Feedback is provided to candidates after interviews to help them improve for future opportunities.
I appeared for an interview in Jul 2017.
I am a data analyst with a strong background in statistics and programming.
I have a Bachelor's degree in Statistics and have completed several courses in programming languages like Python and SQL.
I have experience working with large datasets and conducting data analysis using statistical techniques.
I am proficient in data visualization tools like Tableau and have created interactive dashboards to present insights.
I hav...
I am interested in this company because of its strong reputation in the data analytics industry and its commitment to innovation.
The company has a proven track record of success in the data analytics industry.
It has a strong reputation for delivering high-quality insights and solutions.
The company values innovation and encourages employees to think creatively.
There are opportunities for professional growth and developm...
I am passionate about using data to solve complex problems and make informed decisions.
Data analysis allows me to apply my analytical skills and engineering background to extract valuable insights from data.
I enjoy working with numbers, statistics, and programming, which are all essential skills in the field of data analysis.
Data analysis offers a wide range of opportunities to work on diverse projects and industries, ...
Some of the top questions asked at the Indegene Data Analyst interview -
based on 2 interviews
2 Interview rounds
based on 29 reviews
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