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Coforge Data Scientist Interview Questions and Answers

Updated 19 May 2023

7 Interview questions

A Data Scientist was asked
Q. Explain the concept of method overloading in 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 a...

A Data Scientist was asked
Q. How would you find the unique keys in two 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

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A Data Scientist was asked
Q. What is the procedure for deploying a model using AWS EC2?
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

A Data Scientist was asked
Q. Given a list of numbers, find the indices of two numbers that add up to a specific target value. Do this without using nested for loops. For example, given the list l = [2, 15, 5, 7] and target t = 9, the o...
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.

A Data Scientist was asked
Q. Write Python code to demonstrate operations on a dictionary.
Ans. 

Python dictionaries are versatile data structures for storing key-value pairs, enabling efficient data retrieval and manipulation.

  • Dictionaries are created using curly braces: example = {'key': 'value'}

  • Access values using keys: example['key'] returns 'value'.

  • Dictionaries are mutable; you can add or remove items: example['new_key'] = 'new_value'.

  • Keys must be unique and immutable (e.g., strings, numbers, tuples).

  • Use ...

A Data Scientist was asked
Q. 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 ...

A Data Scientist was asked
Q. 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, an...

Are these interview questions helpful?

Coforge Data Scientist Interview Experiences

2 interviews found

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
  • Ans. 

    Python dictionaries are versatile data structures for storing key-value pairs, enabling efficient data retrieval and manipulation.

    • Dictionaries are created using curly braces: example = {'key': 'value'}

    • Access values using keys: example['key'] returns 'value'.

    • Dictionaries are mutable; you can add or remove items: example['new_key'] = 'new_value'.

    • Keys must be unique and immutable (e.g., strings, numbers, tuples).

    • Use metho...

  • Answered by AI
  • 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

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

What people are saying about Coforge

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a senior data engineer
1w
Need Help!!! Referral Required...
I have 3.5+ yoe. I resigned because there’s been no increment for the past 2 years. They delaying and cutting VP even though I received a full performance rating. 1 month and 5 days are left in my notice period. Now I’m worried. I’m not getting any interview calls. I’ve been applying to 15+ companies daily, updating my Naukri.com, LinkedIn, and other platform profiles, and even applying on company websites. I really need a referral. Please help Tech: Azure, Databricks, PySpark, SQL, Python, Delta lake.
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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
  • Ans. 

    I am open to further education to enhance my skills and stay updated with industry trends in data science.

    • Pursuing a master's degree in data science could deepen my knowledge in advanced analytics.

    • Online courses in machine learning and AI can help me stay current with emerging technologies.

    • Attending workshops and conferences can provide networking opportunities and insights from industry leaders.

    • Certifications in speci...

  • Answered by AI

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 Naukri.com and was interviewed before Jul 2021. There were 3 interview rounds.

Round 1 - Technical 

(1 Question)

  • Q1. NLP and Computer Vision based Question were asked.
Round 2 - Technical 

(1 Question)

  • Q1. General Questions on Machine Learning and deployments technique
Round 3 - HR 

(1 Question)

  • Q1. Salary Negotiations and joining discussion

Interview Preparation Tips

Interview preparation tips for other job seekers - Interview questions are subject to current project requirements

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 Recruitment Consultant and was interviewed in Mar 2021. There were 3 interview rounds.

Interview Questionnaire 

2 Questions

  • Q1. Super Quick Case Study on Sales
  • Q2. Questions on Machine learning Projects in your Resume

Interview Preparation Tips

Interview preparation tips for other job seekers - Be thoroughly prepared with the projects that you have listed on your resume. For each project, you can prepare: What, How and why. Do be prepared with the results and impacts of any ML models that you built.

Other topics: SQL, Excel, Pivot tables

Interview Questionnaire 

1 Question

  • Q1. Diffe heilman algorithm
  • Ans. 

    Diffie-Hellman algorithm is a key exchange protocol used to securely exchange cryptographic keys over a public channel.

    • It is based on the concept of discrete logarithm problem.

    • It involves two parties, Alice and Bob, who generate their own private and public keys.

    • The public keys are exchanged and used to generate a shared secret key.

    • The shared secret key is used for encryption and decryption of messages.

    • It is widely use...

  • Answered by AI

Skills evaluated in this interview

Are these interview questions helpful?

I applied via Recruitment Consultant and was interviewed in Jul 2021. There were 3 interview rounds.

Interview Questionnaire 

1 Question

  • Q1. Use case for insurance domain
  • Ans. 

    Predicting insurance claims using machine learning algorithms.

    • Fraud detection in insurance claims

    • Risk assessment for insurance policies

    • Pricing optimization for insurance products

    • Customer segmentation for targeted marketing

    • Predictive maintenance for insurance assets

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Be prepared with one use case in story telling way

I appeared for an interview before Jul 2021.

Round 1 - One-on-one 

(2 Questions)

  • Q1. Model evaluation and performance metrices
  • Q2. Explaination of bagging and boosting techniques
  • Ans. 

    Bagging and boosting are ensemble techniques used to improve the accuracy of machine learning models.

    • Bagging involves training multiple models on different subsets of the training data and then combining their predictions through voting or averaging.

    • Boosting involves iteratively training models on the same data, with each subsequent model focusing on the samples that the previous models misclassified.

    • Bagging reduces va...

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Work on basic concepts and previous projects

Skills evaluated in this interview

Interview experience
3
Average
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
-

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

Round 1 - Technical 

(3 Questions)

  • Q1. I was asked to introduce myself . I was asked A/B testing
  • Q2. ML use case implemented
  • Ans. 

    Implemented a machine learning model to predict customer churn in a telecom company.

    • Collected and cleaned customer data including usage patterns and demographics

    • Used classification algorithms like Random Forest and Logistic Regression

    • Evaluated model performance using metrics like accuracy, precision, and recall

  • Answered by AI
  • Q3. Gen AI use case implemented

Skills evaluated in this interview

Coforge Interview FAQs

How many rounds are there in Coforge Data Scientist interview?
Coforge interview process usually has 2-3 rounds. The most common rounds in the Coforge interview process are Technical, Resume Shortlist and Coding Test.
How to prepare for Coforge 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 Coforge. The most common topics and skills that interviewers at Coforge expect are Python, Machine Learning, Data Science, Deep Learning and Tensorflow.
What are the top questions asked in Coforge Data Scientist interview?

Some of the top questions asked at the Coforge Data Scientist interview -

  1. coding question of finding index of 2 nos. having total equal to target in a li...read more
  2. 1) How decision tree works 2) what are the parameters used in Open...read more
  3. find unique keys in 2 dictionar...read more

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Overall Interview Experience Rating

1/5

based on 1 interview experience

Difficulty level

Moderate 100%

Duration

2-4 weeks 100%
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Coforge Data Scientist Salary
based on 68 salaries
₹15 L/yr - ₹27.7 L/yr
29% more than the average Data Scientist Salary in India
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Coforge Data Scientist Reviews and Ratings

based on 8 reviews

2.5/5

Rating in categories

3.0

Skill development

4.3

Work-life balance

3.2

Salary

2.4

Job security

2.9

Company culture

2.1

Promotions

2.2

Work satisfaction

Explore 8 Reviews and Ratings
Immediate Need For Data Scientist_WFO_Hyderabad

Hyderabad / Secunderabad

4-9 Yrs

Not Disclosed

Hiring For Data Scientist Role || Coforge

Delhi/Ncr

4-12 Yrs

₹ 10-30 LPA

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