Upload Button Icon Add office photos

Filter interviews by

Fragma Data Systems Data Scientist Interview Questions and Answers

Updated 17 Jun 2021

Fragma Data Systems Data Scientist Interview Experiences

1 interview found

I applied via Company Website and was interviewed before Jun 2020. There was 1 interview round.

Interview Questionnaire 

1 Question

  • Q1. Brief about your college project

Interview Preparation Tips

Interview preparation tips for other job seekers - 3 Rounds were there for the freshers one online exam they call after a week if you cleared the test for the next round, one technical round during this they asked project that you worked on, some questions on job related

Interview questions from similar companies

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

SQL AND POWERBI related questions

Interview Preparation Tips

Interview preparation tips for other job seekers - These guys are just wasting time. They shortlisted my profile based on my resume, but after I performed well in the interview, they rejected me, saying they need more experience than what was originally mentioned. They're giving invalid feedback just for the sake of it. Please don’t waste your time on this kind of company.

I applied via Approached by Company 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 - One-on-one 

(1 Question)

  • Q1. Technical questions about machine learning and data science
Round 3 - Technical 

(1 Question)

  • Q1. Machine learning and data science and about past industry projects
Round 4 - HR 

(1 Question)

  • Q1. Salary discussion and about joining. Roles explained by HR

Interview Preparation Tips

Interview preparation tips for other job seekers - Technical knowledge is important and about your past roles and responsibilities

I applied via Naukri.com and was interviewed before Oct 2020. There were 3 interview rounds.

Interview Questionnaire 

1 Question

  • Q1. 1) Model building process of one of my previous projects 2) Random forest hyperparameters 3) ROC curve, using the ROC curve to set probability cutoffs in classication models 4) Gradient boosting techniques...
  • Ans. 

    Data Scientist interview questions on model building, random forest, ROC curve, gradient boosting, and real estate valuation

    • For model building, I followed the CRISP-DM process and used various algorithms like logistic regression, decision trees, and random forest

    • Random forest hyperparameters include number of trees, maximum depth, minimum samples split, and minimum samples leaf

    • ROC curve is a graphical representation of...

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - My advice would be to search on Google regarding "100 data science interview questions" or something like it, and as you go through each question and its answer, just search the Wikipedia or Google for each concept for a little more depth. As for Python coding questions, most questions in such interviews are asked only about the Pandas library of Python. So try to study how to use Pandas to manipulate data. A good reference is the Python For Data Analysis book by Wes McKinney, whose free PDF is most probably available online on Google.

Skills evaluated in this interview

Interview Questionnaire 

1 Question

  • Q1. Basic ML questions and projects

I applied via Campus Placement and was interviewed before Feb 2019. There were 3 interview rounds.

Interview Questionnaire 

4 Questions

  • Q1. 1. How to choose optimum probability threshold from ROC?
  • Ans. 

    To choose optimum probability threshold from ROC, we need to balance between sensitivity and specificity.

    • Choose the threshold that maximizes the sum of sensitivity and specificity

    • Use Youden's J statistic to find the optimal threshold

    • Consider the cost of false positives and false negatives

    • Use cross-validation to evaluate the performance of different thresholds

  • Answered by AI
  • Q2. 2. How to test time series trend break up?
  • Ans. 

    To test time series trend break up, statistical tests like Augmented Dickey-Fuller test can be used.

    • Augmented Dickey-Fuller test can be used to check if a time series is stationary or not.

    • If the time series is not stationary, we can use differencing to make it stationary.

    • After differencing, we can again perform the Augmented Dickey-Fuller test to check for stationarity.

    • If there is a significant change in the mean or va...

  • Answered by AI
  • Q3. 3. How do you deal with senior customer when you don't have enough data?
  • Ans. 

    Communicate transparently and offer alternative solutions.

    • Explain the limitations of the available data and the potential risks of making decisions based on incomplete information.

    • Offer alternative solutions that can be implemented with the available data.

    • Collaborate with the customer to identify additional data sources or explore other options to gather more data.

    • Provide regular updates on the progress of data collect...

  • Answered by AI
  • Q4. 4. Do you prefer working in clear defined goal space or where customer isn't sure what he wants?

Interview Preparation Tips

Interview preparation tips for other job seekers - Be business specific.

Skills evaluated in this interview

I applied via Naukri.com and was interviewed in Jun 2020. There was 1 interview round.

Interview Questionnaire 

2 Questions

  • Q1. There were two rounds of interviews. Both technical. They actually touch base every topic by asking questions out of it. First round- Python fundamental questions on data structures and operations, scenar...
  • Q2. Second round is mainly CV based project discussion. They would try to dig out on advanced concepts which could be bit mathematical. You can be honest and skip it rather than quoting it wrong.

Interview Preparation Tips

Interview preparation tips for other job seekers - Prepare well and be honest. Prepare the fundamentals of Python and ML well.

I applied via LinkedIn and was interviewed in Dec 2020. There were 5 interview rounds.

Interview Questionnaire 

2 Questions

  • Q1. About the project and one case study on pricing of any goods in a store
  • Q2. Managerial round was full with behavioral questions. All questions were starting with "Tell me a scenario where ......." (a toxic environment and how did you overcome from that/ your and your manager's app...

Interview Preparation Tips

Interview preparation tips for other job seekers - Just prepare about the project for the technical questions and look into few case studies related to retail and pricing

I applied via Approached by Company and was interviewed before Oct 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 - One-on-one 

(1 Question)

  • Q1. Gtky and your projects
Round 3 - Case Study 

Hypothetical case was given and was told to solve it .

Round 4 - One-on-one 

(1 Question)

  • Q1. Managerial round where they look at your fit in the org

Interview Preparation Tips

Interview preparation tips for other job seekers - Top is to be honest and confident . Rest is into to the hiring manager.

I applied via LinkedIn and was interviewed before Aug 2021. There were 2 interview rounds.

Round 1 - Technical 

(3 Questions)

  • Q1. Describe a decision tree
  • Ans. 

    A decision tree is a flowchart-like model that shows the possible outcomes of a decision based on certain conditions.

    • It is a tree-like structure with nodes representing decisions and branches representing outcomes

    • Each node has a condition that determines which branch to follow

    • It is commonly used in machine learning for classification and regression tasks

    • Example: A decision tree for predicting whether a customer will bu...

  • Answered by AI
  • Q2. What is random forest
  • Ans. 

    Random forest is an ensemble learning method for classification, regression and other tasks.

    • Random forest builds multiple decision trees and combines their outputs to improve accuracy.

    • It is a popular machine learning algorithm due to its high accuracy and ability to handle large datasets.

    • Random forest can be used for both classification and regression tasks.

    • It is resistant to overfitting and can handle missing data.

    • Exa...

  • Answered by AI
  • Q3. What is neural network
  • Ans. 

    Neural network is a type of machine learning algorithm inspired by the structure and function of the human brain.

    • Consists of layers of interconnected nodes that process information

    • Used for tasks such as image recognition, natural language processing, and prediction

    • Can be trained using supervised, unsupervised, or reinforcement learning

    • Examples include convolutional neural networks, recurrent neural networks, and deep n

  • Answered by AI
Round 2 - Coding Test 

Leetcode style coding

Interview Preparation Tips

Interview preparation tips for other job seekers - Prepare deep learning and AI. Practice leetcode

Skills evaluated in this interview

Fragma Data Systems Interview FAQs

How to prepare for Fragma Data Systems 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 Fragma Data Systems. The most common topics and skills that interviewers at Fragma Data Systems expect are Machine Learning, Python, Artificial Intelligence, Data Science and SQL.

Tell us how to improve this page.

Interview Questions from Similar Companies

DigiMantra Interview Questions
3.7
 • 6 Interviews
Pythian Interview Questions
4.1
 • 6 Interviews
Vowelweb Interview Questions
4.5
 • 5 Interviews
Dexlock Interview Questions
2.7
 • 4 Interviews
Quokka Labs Interview Questions
3.8
 • 4 Interviews
View all
Fragma Data Systems Data Scientist Salary
based on 11 salaries
₹5.4 L/yr - ₹18 L/yr
19% less than the average Data Scientist Salary in India
View more details

Fragma Data Systems Data Scientist Reviews and Ratings

based on 11 reviews

4.7/5

Rating in categories

5.0

Skill development

4.7

Work-life balance

5.0

Salary

4.9

Job security

4.9

Company culture

5.0

Promotions

5.0

Work satisfaction

Explore 11 Reviews and Ratings
Data Engineer
60 salaries
unlock blur

₹3.5 L/yr - ₹14.8 L/yr

Software Engineer
29 salaries
unlock blur

₹4 L/yr - ₹22.9 L/yr

Business Analyst
23 salaries
unlock blur

₹3.5 L/yr - ₹6 L/yr

Senior Software Engineer
20 salaries
unlock blur

₹7.8 L/yr - ₹33 L/yr

Data Analyst
12 salaries
unlock blur

₹3.5 L/yr - ₹6.4 L/yr

Explore more salaries
Compare Fragma Data Systems with

SE2 DIGITAL SERVICE LLP

3.3
Compare

Pragmasys Consulting LLP

3.9
Compare

Vowelweb

4.5
Compare

TantranZm Technologies

4.2
Compare
Did you find this page helpful?
Yes No
write
Share an Interview