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Compunnel Data Analyst Interview Questions, Process, and Tips

Updated 31 Mar 2023

Compunnel Data Analyst Interview Experiences

1 interview found

Data Analyst Interview Questions & Answers

user image Anonymous

posted on 31 Mar 2023

Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Naukri.com and was interviewed in Oct 2022. There were 2 interview rounds.

Round 1 - Resume Shortlist 
Pro Tip by AmbitionBox:
Keep your resume crisp and to the point. A recruiter looks at your resume for an average of 6 seconds, make sure to leave the best impression.
View all tips
Round 2 - Technical 

(5 Questions)

  • Q1. 1. Measures of Dispersion
  • Ans. 

    Measures of Dispersion are used to describe the spread of data around the central tendency.

    • Measures of Dispersion include Range, Variance, Standard Deviation, and Interquartile Range.

    • Range is the difference between the maximum and minimum values in a dataset.

    • Variance measures how far each value is from the mean.

    • Standard Deviation is the square root of the variance.

    • Interquartile Range is the difference between the 75th

  • Answered by AI
  • Q2. Difference between Linear & Logistic Regression ? Give examples ?
  • Ans. 

    Linear regression is used for continuous data while logistic regression is used for categorical data.

    • Linear regression predicts a continuous outcome while logistic regression predicts a probability of an event occurring.

    • Linear regression uses a straight line to fit the data while logistic regression uses an S-shaped curve.

    • Linear regression is used for predicting values like house prices while logistic regression is use...

  • Answered by AI
  • Q3. What is Feature Selection & Feature Engineering
  • Ans. 

    Feature selection is the process of selecting relevant features from a dataset, while feature engineering involves creating new features.

    • Feature selection helps to reduce the dimensionality of the dataset and improve model performance.

    • Feature engineering involves transforming or combining existing features to create new ones that may be more informative.

    • Examples of feature engineering include creating interaction terms...

  • Answered by AI
  • Q4. What is Gradient Descent and where is it used
  • Ans. 

    Gradient Descent is an optimization algorithm used to minimize the cost function of a machine learning model.

    • Gradient Descent is used in machine learning to find the optimal parameters of a model by minimizing the cost function

    • It works by iteratively adjusting the parameters in the direction of steepest descent of the cost function

    • There are two types of Gradient Descent: Batch Gradient Descent and Stochastic Gradient D...

  • Answered by AI
  • Q5. What are different types of machine learning with examples
  • Ans. 

    There are three types of machine learning: supervised, unsupervised, and reinforcement learning.

    • Supervised learning involves training a model on labeled data to make predictions on new data. Example: predicting house prices based on features like location, size, etc.

    • Unsupervised learning involves finding patterns in unlabeled data. Example: clustering customers based on their purchasing behavior.

    • Reinforcement learning ...

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Be through with Machine Learning topics and be prepared with examples

Skills evaluated in this interview

Interview questions from similar companies

Interview experience
1
Bad
Difficulty level
Moderate
Process Duration
More than 8 weeks
Result
No response

I applied via Approached by Company and was interviewed in Apr 2024. There was 1 interview round.

Round 1 - Assignment 

SQL and python questions are very easy.

Interview Preparation Tips

Interview preparation tips for other job seekers - Ghost interview they will not respond after completing infact i also submitted pre joining form also.
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Referral and was interviewed before Jan 2023. There were 3 interview rounds.

Round 1 - Aptitude Test 

General knowledge

Round 2 - Group Discussion 

English knowledge

Round 3 - HR 

(1 Question)

  • Q1. Self and technical
Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Resume Shortlist 
Pro Tip by AmbitionBox:
Keep your resume crisp and to the point. A recruiter looks at your resume for an average of 6 seconds, make sure to leave the best impression.
View all tips
Round 2 - One-on-one 

(1 Question)

  • Q1. What is IP address?
  • Ans. 

    An IP address is a unique numerical label assigned to each device connected to a computer network.

    • IP addresses are used to identify and locate devices on a network.

    • There are two types of IP addresses - IPv4 and IPv6.

    • IPv4 addresses are written in the form of four sets of numbers separated by periods (e.g. 192.168.1.1).

    • IPv6 addresses are written in a hexadecimal format and are longer than IPv4 addresses.

    • IP addresses can ...

  • Answered by AI
Round 3 - Technical 

(1 Question)

  • Q1. Not completed technical round

Skills evaluated in this interview

Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - One-on-one 

(2 Questions)

  • Q1. Tell me about you self
  • Q2. What are the good qualities of a freshers
Round 2 - Group Discussion 

Why should we hire you

Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(1 Question)

  • Q1. Sql regarding question was there
Round 1 - Resume Shortlist 
Pro Tip by AmbitionBox:
Keep your resume crisp and to the point. A recruiter looks at your resume for an average of 6 seconds, make sure to leave the best impression.
View all tips
Round 2 - One-on-one 

(1 Question)

  • Q1. Self introduction about your self
  • Ans. 

    I am a data analyst with a strong background in statistics and programming.

    • Proficient in statistical analysis and data visualization using tools like Python and R

    • Experienced in cleaning and transforming large datasets for analysis

    • Skilled in creating insightful reports and presentations to communicate findings

    • Strong problem-solving and critical thinking skills

    • Ability to work collaboratively in a team and meet deadlines

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Tips tips tips tips tips tips tips

I applied via Campus Placement and was interviewed before Sep 2021. There were 4 interview rounds.

Round 1 - Resume Shortlist 
Pro Tip by AmbitionBox:
Keep your resume crisp and to the point. A recruiter looks at your resume for an average of 6 seconds, make sure to leave the best impression.
View all tips
Round 2 - Aptitude Test 

The aptitude test consists of MCQ on computer technicals , english, verbals, etc as like usual aptitude test. Also it includes 2-3 sql queries to solve as well as 1-2 coding questions with easy to medium level difficulty.

Round 3 - Technical 

(1 Question)

  • Q1. Technical round was around 1 hour. They had asked me the technical questions related to computer fundamentals like networking, DS, OOP, etc. Then he went on java code and their programming basics like adap...
Round 4 - HR 

(1 Question)

  • Q1. HR was the telephonic round for me. They just asked normal hr questions like intro, strengths, weakness, location preferences, technologies on which i had worked on etc. They have also gave me the CTC info...

Interview Preparation Tips

Interview preparation tips for other job seekers - Keep your basics strong.
More focus on SQL
Be confident on your answers. It's ok if you stuck in between . The interviwers are quite friendly to help you out there.
Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-

I applied via Job Portal

Round 1 - Case Study 

Provided sales case study, asked to analyse the same ans provide insights

I applied via Company Website and was interviewed in Aug 2021. There were 4 interview rounds.

Interview Questionnaire 

1 Question

  • Q1. Where do you see yourself in 5 years

Interview Preparation Tips

Interview preparation tips for other job seekers - I would say, be confident always

Compunnel Interview FAQs

How many rounds are there in Compunnel Data Analyst interview?
Compunnel interview process usually has 2 rounds. The most common rounds in the Compunnel interview process are Resume Shortlist and Technical.
How to prepare for Compunnel Data Analyst interview?
Go through your CV in detail and study all the technologies mentioned in your CV. Prepare at least two technologies or languages in depth if you are appearing for a technical interview at Compunnel. The most common topics and skills that interviewers at Compunnel expect are Agile Development, Data Analysis, Informatica, Oracle Environment and SQL.
What are the top questions asked in Compunnel Data Analyst interview?

Some of the top questions asked at the Compunnel Data Analyst interview -

  1. What are different types of machine learning with examp...read more
  2. What is Feature Selection & Feature Engineer...read more
  3. What is Gradient Descent and where is it u...read more

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Compunnel Data Analyst Interview Process

based on 1 interview

Interview experience

4
  
Good
View more
Compunnel Data Analyst Salary
based on 4 salaries
₹1.8 L/yr - ₹6 L/yr
32% less than the average Data Analyst Salary in India
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