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Coupa Software Inc Data Scientist Interview Questions and Answers

Updated 14 Aug 2024

Coupa Software Inc Data Scientist Interview Experiences

1 interview found

Data Scientist Interview Questions & Answers

user image sumaiyya hawaldar

posted on 14 Aug 2024

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

(2 Questions)

  • Q1. Large Language Models
  • Q2. RAG ,fine tuning

Interview questions from similar companies

Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
-
Result
-

I was interviewed in Aug 2024.

Round 1 - Aptitude Test 

It was a MCQ based test

Round 2 - Technical 

(2 Questions)

  • Q1. ML related question regression , classification , cost function and gradient descent
  • Q2. Project related qs
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
3
Average
Difficulty level
-
Process Duration
-
Result
-
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. Questions on SQL and college projects, a bit of C memory management and Python oops concepts were tested

Coupa Software Inc Interview FAQs

How many rounds are there in Coupa Software Inc Data Scientist interview?
Coupa Software Inc interview process usually has 1 rounds. The most common rounds in the Coupa Software Inc interview process are Technical.
How to prepare for Coupa Software Inc 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 Coupa Software Inc. The most common topics and skills that interviewers at Coupa Software Inc expect are Cloud, Coding, Computer science, Data Mining and Javascript.
What are the top questions asked in Coupa Software Inc Data Scientist interview?

Some of the top questions asked at the Coupa Software Inc Data Scientist interview -

  1. Large Language Mod...read more
  2. RAG ,fine tun...read more

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Coupa Software Inc Data Scientist Interview Process

based on 1 interview

Interview experience

4
  
Good
View more
Coupa Software Inc Data Scientist Salary
based on 13 salaries
₹18.7 L/yr - ₹31 L/yr
70% more than the average Data Scientist Salary in India
View more details

Coupa Software Inc Data Scientist Reviews and Ratings

based on 3 reviews

2.3/5

Rating in categories

2.4

Skill development

2.9

Work-life balance

3.6

Salary

2.5

Job security

1.4

Company culture

2.2

Promotions

2.2

Work satisfaction

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