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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
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:
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 

(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
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
-
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
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
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected
Round 1 - Technical 

(2 Questions)

  • Q1. Time Series Forecasting, ACF and PACF Curves, ARIMA model
  • Q2. Questions on classical machine learning
Round 2 - Technical 

(2 Questions)

  • Q1. Bias Variance tradeoff, decision trees, sigmoid function
  • Q2. Bagging boosting linear regression any many more

Interview Preparation Tips

Interview preparation tips for other job seekers - Be clear with classical concepts
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I appeared for an interview in Feb 2025, where I was asked the following questions.

  • Q1. Tell me about yourself
  • Q2. Give me project details
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Walk-in and was interviewed before Mar 2023. There were 3 interview rounds.

Round 1 - Aptitude Test 

Aptitude test all mathematical and general aptitude questions

Round 2 - Group Discussion 

Any topic related to current trends

Round 3 - Technical 

(3 Questions)

  • Q1. Totally technical round all the questions related to the position that you are applying for
  • Q2. Different types of Models etc..
  • Ans. 

    There are various types of models used in different fields such as statistical models, mathematical models, physical models, etc.

    • Statistical models: Used in data analysis to make predictions or draw inferences.

    • Mathematical models: Represented using mathematical equations to describe real-world phenomena.

    • Physical models: Used to simulate physical systems or objects for testing or analysis.

    • Computer models: Utilized in co...

  • Answered by AI
  • Q3. Explain Bug life cycle or defect life cycle
  • Ans. 

    Bug life cycle or defect life cycle is the process of identifying, reporting, prioritizing, fixing, and verifying bugs in software development.

    • Bug identification: Bugs are identified through testing, user feedback, or code reviews.

    • Bug reporting: Bugs are reported in a bug tracking system with details like steps to reproduce, severity, and priority.

    • Bug prioritization: Bugs are prioritized based on severity and impact on...

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Be prepared and work hard

Skills evaluated in this interview

I appeared for an interview in Oct 2021.

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. Core python,python library and data science
Round 3 - HR 

(1 Question)

  • Q1. Mathematics,python and sql and data science are complete

Interview Preparation Tips

Topics to prepare for ITC Infotech Data Analyst interview:
  • Python
Interview preparation tips for other job seekers - I am programmer in python and I give full effort and Truly working
Interview experience
3
Average
Difficulty level
Easy
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Naukri.com and was interviewed in Mar 2023. 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 - HR 

(2 Questions)

  • Q1. Why did we hired you
  • Q2. What is next 5 years see your self

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 - ₹10.2 L/yr
50% 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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