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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

Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Naukri.com and was interviewed in Mar 2024. There were 3 interview rounds.

Round 1 - One-on-one 

(1 Question)

  • Q1. Basic ML Question, Timesereis and RNN with some questions on Comp Vision
Round 2 - One-on-one 

(1 Question)

  • Q1. Project driven. Some coding
Round 3 - HR 

(1 Question)

  • Q1. Salary Discussion
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Naukri.com and was interviewed before Mar 2022. 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. Deep dive into your DS projects and implementation. Some questions about MLOPS and cloud exposure. Basic ML questions
  • Q2. Gradient descent Linear regression Time series questions Lightgbm and xgboost
Round 3 - Technical 

(1 Question)

  • Q1. Time series question on ARIMA , ML approach to time series

Interview Preparation Tips

Interview preparation tips for other job seekers - Prepare well for the projects written in resume and also have an idea on the latest development in that area .
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Referral and was interviewed in Jan 2024. There was 1 interview round.

Round 1 - Technical 

(3 Questions)

  • Q1. What are the projects you have worked on?
  • Q2. What is Digital Image Processing?
  • Ans. 

    Digital Image Processing is the manipulation of digital images using algorithms to enhance, analyze, or extract information.

    • It involves techniques like image enhancement, restoration, segmentation, and compression.

    • Common applications include medical imaging, satellite imaging, facial recognition, and object detection.

    • Algorithms like edge detection, noise reduction, and image stitching are used in digital image processi...

  • Answered by AI
  • Q3. Explain OOP in Python
  • Ans. 

    OOP in Python is a programming paradigm where objects are created that contain data and methods to manipulate that data.

    • Classes are used to create objects in Python

    • Objects have attributes (data) and methods (functions)

    • Inheritance allows classes to inherit attributes and methods from other classes

    • Encapsulation allows data to be hidden and only accessed through methods

    • Polymorphism allows objects to be treated as instance

  • Answered by AI

Interview Preparation Tips

Topics to prepare for 3i Infotech Data Science Intern interview:
  • Python
  • ML Algorithms
  • NLP
  • Computer Vision
  • Generative AI

Skills evaluated in this interview

Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
No response

I applied via Naukri.com and was interviewed in Jan 2024. There was 1 interview round.

Round 1 - Technical 

(1 Question)

  • Q1. Tell me about scaling. ensemble techniques. precession, recall, f1 score, ROC AUC LSTM and RNN Feature selection and extraction optimization function loss functions word embedding word2vec tf-idf outliers...

Interview Preparation Tips

Interview preparation tips for other job seekers - work on logical list codes.
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Naukri.com and was interviewed before Mar 2022. There were 3 interview rounds.

Round 1 - Resume Shortlist 
Pro Tip by AmbitionBox:
Don’t add your photo or details such as gender, age, and address in your resume. These details do not add any value.
View all tips
Round 2 - Technical 

(2 Questions)

  • Q1. Deep dive into your DS projects and implementation. Some questions about MLOPS and cloud exposure. Basic ML questions
  • Q2. Gradient descent Linear regression Time series questions Lightgbm and xgboost
Round 3 - Technical 

(1 Question)

  • Q1. Time series question on ARIMA , ML approach to time series

Interview Preparation Tips

Interview preparation tips for other job seekers - Prepare well for the projects written in resume and also have an idea on the latest development in that area .
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 May 2023. There were 3 interview rounds.

Round 1 - Resume Shortlist 
Pro Tip by AmbitionBox:
Properly align and format text in your resume. A recruiter will have to spend more time reading poorly aligned text, leading to high chances of rejection.
View all tips
Round 2 - One-on-one 

(3 Questions)

  • Q1. Machine Learning algorithms
  • Ans. 

    Machine Learning algorithms are used to train models on data to make predictions or decisions without being explicitly programmed.

    • Machine Learning algorithms can be categorized into supervised, unsupervised, and reinforcement learning.

    • Examples of supervised learning algorithms include linear regression, decision trees, and support vector machines.

    • Examples of unsupervised learning algorithms include k-means clustering, ...

  • Answered by AI
  • Q2. Overfitting and underfitting
  • Q3. Questions related to the project
Round 3 - Technical 

(2 Questions)

  • Q1. Questions on project, how much time required for training model
  • Q2. Version control, Flask/ Django, Cloud service experience

Skills evaluated in this interview

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

(1 Question)

  • Q1. Question regarding nlp,python,ml

Interview Preparation Tips

Interview preparation tips for other job seekers - good for begineers
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Naukri.com and was interviewed in Mar 2024. There were 3 interview rounds.

Round 1 - One-on-one 

(1 Question)

  • Q1. Basic ML Question, Timesereis and RNN with some questions on Comp Vision
Round 2 - One-on-one 

(1 Question)

  • Q1. Project driven. Some coding
Round 3 - HR 

(1 Question)

  • Q1. Salary Discussion
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
No response

I applied via Naukri.com and was interviewed in Jan 2024. There was 1 interview round.

Round 1 - Technical 

(1 Question)

  • Q1. Tell me about scaling. ensemble techniques. precession, recall, f1 score, ROC AUC LSTM and RNN Feature selection and extraction optimization function loss functions word embedding word2vec tf-idf outliers...

Interview Preparation Tips

Interview preparation tips for other job seekers - work on logical list codes.

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
43% less than the average Data Scientist Salary in India
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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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