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NDS InfoServ Data Scientist Interview Questions and Answers

Updated 11 Jul 2024

NDS InfoServ Data Scientist Interview Experiences

3 interviews found

Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - One-on-one 

(2 Questions)

  • Q1. Tell me about yourself
  • Q2. How's things there at your place. Are you ok working with us.

Interview Preparation Tips

Interview preparation tips for other job seekers - No questions asked just formal conversation
Interview experience
4
Good
Difficulty level
Easy
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Approached by Company and was interviewed before May 2023. There were 2 interview rounds.

Round 1 - Technical 

(1 Question)

  • Q1. Which is your favourite algorithm and why?
  • Ans. 

    My favorite algorithm is Random Forest because of its high accuracy, ability to handle large datasets, and resistance to overfitting.

    • Random Forest is an ensemble learning method that builds multiple decision trees and merges them together to get a more accurate and stable prediction.

    • It is versatile and can be used for both classification and regression tasks.

    • Random Forest is less prone to overfitting compared to indivi...

  • Answered by AI
Round 2 - HR 

(1 Question)

  • Q1. What is your current CTC and what is your expected CTC?
  • Ans. 

    I am currently earning X amount and looking for a competitive offer based on my skills and experience.

    • Be honest about your current salary

    • Research the market rates for Data Scientists in your area

    • Consider your experience, skills, and the value you bring to the company when stating your expected CTC

  • Answered by AI

Skills evaluated in this interview

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I applied via Naukri.com and was interviewed in Jun 2021. There were 3 interview rounds.

Interview Questionnaire 

1 Question

  • Q1. How to extract data from an image?
  • Ans. 

    Data can be extracted from an image using image processing techniques such as OCR, computer vision, and deep learning.

    • Use Optical Character Recognition (OCR) to extract text from images

    • Use computer vision techniques to identify and extract specific objects or features from images

    • Use deep learning models such as convolutional neural networks (CNNs) to classify and extract information from images

    • Preprocess the image to e...

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - No preparation needed. No quality questions have been asked.

Interview questions from similar companies

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 

(10 Questions)

  • Q1. What is your family background?
  • Q2. What are your salary expectations?
  • Q3. Share details of your previous job.
  • Q4. Why should we hire you?
  • Q5. Why are you looking for a change?
  • Q6. Where do you see yourself in 5 years?
  • Q7. What are your strengths and weaknesses?
  • Q8. Tell me about yourself.
  • Q9. Any questions hr ask me
  • Q10. Any questions ask hr me

Interview Preparation Tips

Interview preparation tips for other job seekers - i want to a job so plzz give me a chance there i make my carrier

Interview Questionnaire 

1 Question

  • Q1. Questions about current and past projects and machine learning concepts.

Interview Preparation Tips

Round: Technical Interview
Experience: It was telephonic interview, started with introduction then interviewer asked me about current project and technologies using for implementation. Interviewer was very calm and friendly so I was relaxed, in the end we discussed about job profile, work environment and their expectation from me.
Tips: Know your projects work in details, answer to asked questions very brief and precise, if you don't know answer then be truthfull about it.

College Name: IIT Guwahati

I appeared for an interview in Apr 2017.

Interview Questionnaire 

2 Questions

  • Q1. Past and current projects work, and few basic machine learning concepts
  • Q2. Questions about machine learning concepts, E.g. classification, regression, clustering, over fitting vs under fitting, boosting etc.

Interview Preparation Tips

Round: Technical Interview
Experience: It was telephonic interview, started with introduction, asked me about projects, technologies.
Tips: Know your projects work in detail.

Round: Technical Interview
Experience: It was video conferencing. Interviewer was very informal that made me relaxed and comfortable, asked me various questions on data science, I tried to answer those with how I used those concept in my projects work. It ended on positive note.
Tips: Be truthful, don't assume anything.

College Name: IIT Guwahati

I applied via Campus Placement and was interviewed in Dec 2016. There were 4 interview rounds.

Interview Questionnaire 

2 Questions

  • Q1. Previous Experience in Analytics
  • Ans. 

    I have 3 years of experience in analytics, working with various tools and techniques.

    • Worked with SQL, Python, and R for data analysis and visualization

    • Developed predictive models using machine learning algorithms

    • Collaborated with cross-functional teams to provide insights and recommendations

    • Presented findings to stakeholders and executives

    • Experience in A/B testing and experimentation

    • Worked with large datasets and data ...

  • Answered by AI
  • Q2. Technical questions about analytics

Interview Preparation Tips

Round: Resume Shortlist
Experience: CGPA shortlist

College Name: IIT Madras

I applied via Campus Placement

Interview Questionnaire 

6 Questions

  • Q1. Why your CGPA is so low ?
  • Ans. 

    My CGPA is low because I focused more on gaining practical experience through internships and projects.

    • I prioritized gaining practical experience over theoretical knowledge

    • I took up internships and projects to gain hands-on experience

    • I believe practical experience is more valuable than just academic grades

  • Answered by AI
  • Q2. Questions regarding my Time Series Analysis Project
  • Q3. Questions about numerical computations techniques like Newtons Raphson Method
  • Q4. Walking through your resume
  • Q5. 2-3 Puzzles (techinterview)
  • Q6. Your inclination towards Startups doesn't support your job-application

Interview Preparation Tips

Round: Resume Shortlist
Experience: CVs were shortlisted mainly on the basis of projects, international exposure and coding background. They were looking for two types of people : who were either having experience in the data analytics field (course,projects) or either having any internship in their department in which they have shown excellent performances.
Tips: Well prepared and reviewed resume would definitely gonna work.

Round: Stress Interview
Experience: It was a 40-50 mins interview in which they start grilling me from the point where I entered the room by asking your CPI is so low, can you justify ? And then there were above listed questions which were asked . Everything went great. They were impressed about my contribution on time-series project and then by my internship experience
Tips: Prepare well and understand each and every letter of your resume, they will go into sufficient details of it. Prepare puzzles, it will definitely help you.

Skills: Confidence, Generic Math Puzzles, Work Experience, Algorithms And Data Structures, Ability To Cope Up With Stress, Time Series
Duration: 2
College Name: IIT Kanpur
Motivation: Excellent job profile in the emerging field of Data science, challenging job opportunities and growth possibilities

I applied via Campus Placement

Interview Questionnaire 

6 Questions

  • Q1. Briefly go through your resume
  • Ans. 

    I have experience in data analysis, machine learning, and statistical modeling.

    • Worked as a data analyst at XYZ company for 2 years

    • Developed predictive models using machine learning algorithms

    • Conducted statistical analysis on large datasets

    • Completed a Master's degree in Data Science from ABC University

  • Answered by AI
  • Q2. Why low CPI ?
  • Ans. 

    Low CPI may be due to various factors such as low demand, high competition, or ineffective marketing strategies.

    • Low demand for the product or service

    • High competition in the market

    • Ineffective marketing strategies

    • Lack of differentiation from competitors

    • Poor product quality or customer service

    • Economic downturn or recession

    • Changes in consumer behavior or preferences

  • Answered by AI
  • Q3. Some Basic questions regarding projects and puzzles
  • Q4. Again why low CPI ? just to test your mantle
  • Ans. 

    Low CPI may indicate inefficiencies in marketing strategies or poor product quality.

    • Low CPI can be caused by ineffective targeting of ads to the right audience.

    • It can also be due to poor product quality or lack of demand for the product.

    • Low CPI may require a reassessment of marketing strategies and product offerings.

    • Examples of low CPI include unsuccessful ad campaigns or low sales numbers.

    • Improving CPI can lead to inc...

  • Answered by AI
  • Q5. Extra-Currics
  • Q6. Strength and weakness

Interview Preparation Tips

Round: Resume Shortlist
Experience: Initial shortlisting was based on resumes. They were looking developers and people having background in stats. Also they shortlisted quite a few with international exposure and decent CPI.
Tips: Machine Learning, Coding Experience, Time-series Analysis

Round: Technical Interview
Experience: It was nice, they were quite adamant on testing my stress handling abilities by asking about my academics background. They were impressed by a project of mine related to time series analysis. The round was for about 40-50 minutes.
Tips: Understand each and every point from your resume. Be prepared about some puzzles. Can do online courses from Coursera on Data science & Machine Learning.

Skills: Generic Math Puzzles, Basics Of Machine Learning, Probability And Statistics, Algorithms And Data Structures, Ability To Cope Up With Stress
Duration: 2
College Name: IIT Kanpur

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

Interview Questionnaire 

1 Question

  • Q1. Which job gives me do that work because of this job very important to me

Interview Preparation Tips

Interview preparation tips for other job seekers - No adive

NDS InfoServ Interview FAQs

How many rounds are there in NDS InfoServ Data Scientist interview?
NDS InfoServ interview process usually has 1-2 rounds. The most common rounds in the NDS InfoServ interview process are Technical, HR and One-on-one Round.
How to prepare for NDS InfoServ 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 NDS InfoServ. The most common topics and skills that interviewers at NDS InfoServ expect are Data Science, Machine Learning and NLP.
What are the top questions asked in NDS InfoServ Data Scientist interview?

Some of the top questions asked at the NDS InfoServ Data Scientist interview -

  1. What is your current CTC and what is your expected C...read more
  2. Which is your favourite algorithm and w...read more
  3. How to extract data from an ima...read more

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NDS InfoServ Data Scientist Interview Process

based on 2 interviews

Interview experience

4.5
  
Good
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NDS InfoServ Data Scientist Salary
based on 55 salaries
₹8 L/yr - ₹15 L/yr
10% less than the average Data Scientist Salary in India
View more details

NDS InfoServ Data Scientist Reviews and Ratings

based on 8 reviews

1.9/5

Rating in categories

1.9

Skill development

2.1

Work-life balance

2.0

Salary

1.7

Job security

1.7

Company culture

1.8

Promotions

1.7

Work satisfaction

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