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Comviva Technology Data Scientist Interview Questions and Answers

Updated 4 Apr 2022

Comviva Technology Data Scientist Interview Experiences

1 interview found

I applied via Naukri.com and was interviewed in Oct 2021. There was 1 interview round.

Round 1 - One-on-one 

(2 Questions)

  • Q1. Explain a project end to end
  • Ans. 

    Developed a predictive model to identify potential customers for a bank

    • Gathered and cleaned data on customer demographics, financial history, and behavior

    • Performed exploratory data analysis to identify patterns and correlations

    • Developed and trained a machine learning model using logistic regression

    • Evaluated model performance using metrics such as accuracy, precision, and recall

    • Deployed the model in a web application fo

  • Answered by AI
  • Q2. Tell me about yourself
  • Ans. 

    I am a data scientist with expertise in machine learning and data analysis.

    • I have a strong background in statistics and mathematics.

    • I am skilled in programming languages such as Python and R.

    • I have experience working with large datasets and implementing predictive models.

    • I have successfully completed projects in various industries, including finance and healthcare.

    • I am passionate about using data to drive insights and

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Please be yourself and be confident

Interview questions from similar companies

Data Scientist Interview Questions & Answers

LTIMindtree user image Abhishek Srivastav

posted on 16 Mar 2015

Interview Questionnaire 

3 Questions

  • Q1. Code For parse Traingle
  • Ans. 

    Code for parsing a triangle

    • Use a loop to iterate through each line of the triangle

    • Split each line into an array of numbers

    • Store the parsed numbers in a 2D array or a list of lists

  • Answered by AI
  • Q2. Asci value along with alphabets(both capital and small)
  • Ans. 

    The ASCII value is a numerical representation of a character. It includes both capital and small alphabets.

    • ASCII values range from 65 to 90 for capital letters A to Z.

    • ASCII values range from 97 to 122 for small letters a to z.

    • For example, the ASCII value of 'A' is 65 and the ASCII value of 'a' is 97.

  • Answered by AI
  • Q3. Would you like to go for Hire studies

Interview Preparation Tips

Round: Test
Experience: First round was through Elitmus.
If you want to be in IT industry must appear it atleast once, for core also u can try it.
It's usually a tough exam but if u are good in maths , apti you will crack it.
Tips: Focus more on Reasoning part. this is the most difficult part.
practise paragraphs reading and solving(Average level)(Infosys level or less)
If you need any kind of help you can contact me via email or can even ring me.
I would recomend everybody to appear this exam with minimum of one month dedicated preparation
Duration: 120 minutes
Total Questions: 60

Round: Coding Round on their own plateform
Experience: It was little difficult to write codes on some other plateform. But time was enough to cope up.
Tips: Try writing as many programs you can write in C, C++ and JAVA not on paper, on compiler . while giving this exam you can select any of these three languages. Based on that your technical Interview will be taken.

Round: Technical Interview
Experience: Its easy one if you have hands on on programing
Tips: Explore and explore .

Round: HR Interview
Experience: Most difficult round for me(I feel myself a little weak in English). But stay calm. And be cheerful.
I still don't know the exact answer of the question but conversation gone for about 20 minutes on this topic.
He din't seem satisfied with me. Btw most of the people says to say no. You can take your call according to the situation.
Tips: Stay calm. Have as much Knowledge about the organisation. Try to make your Intro as much interesting as possible with achivements, hobbies etc. Ya English plays most important role here.

General Tips: Always have faith in yourself. And remember Everything happens for some good reason
Skill Tips: Dont go deep in OS, DBMS but have rough idea about all the topics
Skills: C, C++, DATA STRUCTURE, DBMS, OS
College Name: GANDHI INSTITUTE OF ENGINEERING AND TECHNOLOGY
Motivation: I wanted a job. :)
Funny Moments: A number of stories are there related to this job.
One is I already had an offer so I booked my ticket to home from Bangalore But at very last moment my father told me that you should never miss any chance, go for it. I went and interview date was postponded due to some reasons. I got a mail at 10:30 pm saying I have to attend interview next day morning at 8:30 pm. I ran to get printout of that mail. The venue was 3 hour journey from my place so I din't sleep for the whole night because i knew that if I ll sleep, I would not be able to wake up But I din't studied also because it would have lead to sleep. And Without having sleep and last moment study I made it.

Skills evaluated in this interview

I applied via Recruitment Consultant and was interviewed in Mar 2021. There was 1 interview round.

Interview Questionnaire 

1 Question

  • Q1. Explain about your projects

Interview Preparation Tips

Interview preparation tips for other job seekers - Interviewer was looking for Data science experience in infrastructure that is building a solution for remedy ticket

I applied via Referral and was interviewed in Mar 2021. There were 4 interview rounds.

Interview Questionnaire 

2 Questions

  • Q1. What is data science
  • Ans. 

    Data science is the field of extracting insights and knowledge from data using various techniques and tools.

    • Data science involves collecting, cleaning, and analyzing data to extract insights.

    • It uses various techniques such as machine learning, statistical modeling, and data visualization.

    • Data science is used in various fields such as finance, healthcare, and marketing.

    • Examples of data science applications include fraud...

  • Answered by AI
  • Q2. What is phyton and R
  • Ans. 

    Python and R are programming languages commonly used in data science and statistical analysis.

    • Python is a general-purpose language with a large community and many libraries for data manipulation and machine learning.

    • R is a language specifically designed for statistical computing and graphics, with a wide range of packages for data analysis and visualization.

    • Both languages are popular choices for data scientists and hav...

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Provide the tips how to face the interview

Skills evaluated in this interview

Interview Questionnaire 

1 Question

  • Q1. Please tell me something about yourself.What is your experience? What are your goals and ambitions?Why We should hire you? Strengths and weaknesses etc.

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

Round 1 - Coding Test 

Questions related to Pandas, List, String

Round 2 - One-on-one 

(1 Question)

  • Q1. 1) How decision tree works 2) what are the parameters used in OpenCV?
  • Ans. 

    Decision tree is a tree-like model used for classification and regression. OpenCV parameters include image processing and feature detection.

    • Decision tree is a supervised learning algorithm that recursively splits the data into subsets based on the most significant attribute.

    • It is used for both classification and regression tasks.

    • OpenCV parameters include image processing techniques like smoothing, thresholding, and mor...

  • Answered by AI

Interview Preparation Tips

Topics to prepare for Coforge Data Scientist interview:
  • Python
  • Data Science
  • Computer Vision
Interview preparation tips for other job seekers - Mostly start with python coding, simple dataframe and panda's question, then study the topics mentioned in your resume.

Skills evaluated in this interview

Interview experience
4
Good
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Selected Selected

I applied via Naukri.com and was interviewed before Feb 2023. There were 2 interview rounds.

Round 1 - Technical 

(2 Questions)

  • Q1. When do we use PCA?
  • Ans. 

    PCA is used to reduce the dimensionality of data by finding the most important features.

    • PCA is used when dealing with high-dimensional data to reduce the number of features and avoid multicollinearity.

    • It helps in visualizing data in lower dimensions while retaining as much variance as possible.

    • PCA is commonly used in image processing, genetics, finance, and other fields where dimensionality reduction is needed.

  • Answered by AI
  • Q2. PCA is a dimensionality reduction technique and is used to reduce the less useful features from the dataset
Round 2 - Technical 

(1 Question)

  • Q1. LTTS data science interview

Skills evaluated in this interview

Interview experience
1
Bad
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Not Selected

I applied via Naukri.com and was interviewed in Apr 2023. There were 3 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 

(2 Questions)

  • Q1. Coding question of finding index of 2 nos. having total equal to target in a list, without using nested for loop? l= [2,15,5,7] t= 9 output》》[0,3]
  • Ans. 

    Finding index of 2 numbers having total equal to target in a list without nested for loop.

    • Use dictionary to store the difference between target and each element of list.

    • Iterate through list and check if element is in dictionary.

    • Return the indices of the two elements that add up to target.

  • Answered by AI
  • Q2. What is random forest, knn?
  • Ans. 

    Random forest and KNN are machine learning algorithms used for classification and regression tasks.

    • Random forest is an ensemble learning method that constructs multiple decision trees and combines their outputs to make a final prediction.

    • KNN (k-nearest neighbors) is a non-parametric algorithm that classifies new data points based on the majority class of their k-nearest neighbors in the training set.

    • Random forest is us...

  • Answered by AI
Round 3 - Technical 

(4 Questions)

  • Q1. Ll coding on python dictionary
  • Q2. Find unique keys in 2 dictionaries
  • Ans. 

    To find unique keys in 2 dictionaries.

    • Create a set of keys for each dictionary

    • Use set operations to find the unique keys

    • Return the unique keys

  • Answered by AI
  • Q3. Aws ec2 model deployment procedure
  • Ans. 

    AWS EC2 model deployment involves creating an instance, installing necessary software, and deploying the model.

    • Create an EC2 instance with the desired specifications

    • Install necessary software and dependencies on the instance

    • Upload the model and any required data to the instance

    • Deploy the model using a web server or API

    • Monitor the instance and model performance for optimization

  • Answered by AI
  • Q4. Overloading concept of oop
  • Ans. 

    Overloading is the ability to define multiple methods with the same name but different parameters.

    • Overloading allows for more flexibility in method naming and improves code readability.

    • Examples include defining multiple constructors for a class with different parameter lists or defining a method that can accept different data types as input.

    • Overloading is resolved at compile-time based on the number and types of argume...

  • Answered by AI

Interview Preparation Tips

Topics to prepare for Coforge Data Scientist interview:
  • Python programming
  • python coding
  • dictionary functions , set funct
  • ML, DL Algorithms
  • NLP , AWS
Interview preparation tips for other job seekers - Every time had 2 to 4 panel size and all were technical. All rounds are tough as panel size is more and always extends the given time of interview.

Completed 2 rounds and from 2 weeks they have not arrange hr round.
Morever Hr is saying My profile is on hold.

Very bad rating for companys prolonged hiring process and sometime irritating as candidates like me prepare and attend the interview besides interviews are in working hours. And after completing two rounds not even scheduling Hr round only give information that your profile is on hold......

Skills evaluated in this interview

Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Coding Test 

Expect technical questions as well as moderate level coding questions

Round 2 - Technical 

(1 Question)

  • Q1. Data science and MLOps concepts
Round 3 - HR 

(1 Question)

  • Q1. Behavioral and managerial rounds
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Recruitment Consulltant and was interviewed in Aug 2023. There were 3 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 

(1 Question)

  • Q1. About your project and experience
Round 3 - Coding Test 

Core Python questions were asked

Comviva Technology Interview FAQs

How many rounds are there in Comviva Technology Data Scientist interview?
Comviva Technology interview process usually has 1 rounds. The most common rounds in the Comviva Technology interview process are One-on-one Round.
How to prepare for Comviva Technology Data Scientist 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 Comviva Technology. The most common topics and skills that interviewers at Comviva Technology expect are Python, Data Science, SQL, Machine Learning and Risk Analytics.

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Comviva Technology Data Scientist Salary
based on 27 salaries
₹6 L/yr - ₹11.5 L/yr
45% less than the average Data Scientist Salary in India
View more details

Comviva Technology Data Scientist Reviews and Ratings

based on 3 reviews

2.9/5

Rating in categories

3.4

Skill development

3.1

Work-life balance

3.9

Salary

3.2

Job security

3.1

Company culture

3.4

Promotions

2.9

Work satisfaction

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