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NexusLink Services Interview Questions and Answers

Updated 22 May 2024

NexusLink Services Interview Experiences

2 interviews found

Data Scientist Interview Questions & Answers

user image Viral Sherathiya

posted on 27 Oct 2023

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

I applied via Referral and was interviewed in Apr 2023. There were 2 interview rounds.

Round 1 - Technical 

(1 Question)

  • Q1. Questions related to your experience
Round 2 - Technical 

(2 Questions)

  • Q1. Techinacal questions related your experience
  • Q2. Technical questions related your experience
Interview experience
3
Average
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Approached by Company and was interviewed before May 2023. There were 3 interview rounds.

Round 1 - HR 

(1 Question)

  • Q1. Will ask you general details about education, work experience.
Round 2 - Technical 

(2 Questions)

  • Q1. Will ask technical question on machine learning , deep learning and on computer vision
  • Q2. What is bais and variance. tell me assumption consider for different machine learning algorithm. explain architecture of CNN.
  • Ans. 

    Bias and variance are two sources of error in machine learning models. Different machine learning algorithms have different assumptions. CNN architecture consists of convolutional layers, pooling layers, and fully connected layers.

    • Bias is the error due to overly simplistic assumptions in the model, while variance is the error due to overly complex assumptions.

    • Different machine learning algorithms have different assumpt...

  • Answered by AI
Round 3 - HR 

(1 Question)

  • Q1. Final round for salary discussion

Interview Preparation Tips

Topics to prepare for NexusLink Services Data Scientist interview:
  • Computer Vision

Skills evaluated in this interview

Top trending discussions

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Interview Tips & Stories
4d (edited)
a team lead
Why are women still asked such personal questions in interview?
I recently went for an interview… and honestly, m still trying to process what just happened. Instead of being asked about my skills, experience, or how I could add value to the company… the questions took a totally unexpected turn. The interviewer started asking things like When are you getting married? Are you engaged? And m sure, if I had said I was married, the next question would’ve been How long have you been married? What does my personal life have to do with the job m applying for? This is where I felt the gender discrimination hit hard. These types of questions are so casually thrown at women during interviews but are they ever asked to men? No one asks male candidates if they’re planning a wedding or how old their kids are. So why is it okay to ask women? Can we please stop normalising this kind of behaviour in interviews? Our careers shouldn’t be judged by our relationship status. Period.
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Interview questions from similar companies

Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
No response

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

  • Q1. What are the work as data Science ?
  • Ans. 

    Data scientists analyze complex data to derive insights, build models, and support decision-making across various domains.

    • Data Collection: Gathering data from various sources like databases, APIs, or web scraping.

    • Data Cleaning: Preprocessing data to remove inconsistencies and handle missing values, e.g., using pandas in Python.

    • Exploratory Data Analysis (EDA): Visualizing data to identify patterns and trends, such as us...

  • Answered by AI
  • Q2. How to processs the data ?
  • Ans. 

    Data processing involves cleaning, transforming, and analyzing data to extract meaningful insights.

    • Data Cleaning: Remove duplicates and handle missing values. Example: Using pandas in Python to drop NaN values.

    • Data Transformation: Normalize or scale data for better analysis. Example: Min-max scaling for features in machine learning.

    • Data Exploration: Use visualizations to understand data distributions. Example: Creating...

  • Answered by AI
Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(2 Questions)

  • Q1. What is overfitting in machine learning?
  • Ans. 

    Overfitting occurs when a machine learning model learns the training data too well, including noise and outliers, leading to poor generalization on new data.

    • Overfitting happens when a model is too complex and captures noise in the training data.

    • It leads to poor performance on unseen data as the model fails to generalize well.

    • Techniques to prevent overfitting include cross-validation, regularization, and early stopping.

    • ...

  • Answered by AI
  • Q2. Overfitting accurs when a model learns the details.......etc
  • Ans. 

    Overfitting occurs when a model learns the details and noise in the training data to the extent that it negatively impacts the model's performance on new data.

    • Overfitting happens when a model is too complex and captures noise in the training data.

    • It leads to poor generalization and high accuracy on training data but low accuracy on new data.

    • Techniques to prevent overfitting include cross-validation, regularization, and...

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Research the company before interview.

I applied via Referral and was interviewed before Nov 2020. There were 3 interview rounds.

Interview Questionnaire 

2 Questions

  • Q1. Related to work profile
  • Q2. Related to interests

Interview Preparation Tips

Interview preparation tips for other job seekers - Be confident, go well groomed

I applied via Naukri.com and was interviewed in Sep 2019. There was 1 interview round.

Interview Questionnaire 

5 Questions

  • Q1. Question 1)Tell me about yourself and qualifications?
  • Ans. 

    I am a recent graduate with a degree in Computer Science and experience in web development.

    • Recent graduate with a degree in Computer Science

    • Experience in web development

    • Strong problem-solving skills

    • Proficient in programming languages such as Java, JavaScript, and HTML/CSS

  • Answered by AI
  • Q2. Question 2)What are your hobbies?
  • Ans. 

    My hobbies include reading, hiking, and playing the guitar.

    • Reading: I enjoy reading fiction and non-fiction books in my free time.

    • Hiking: I love exploring nature trails and challenging myself with new hikes.

    • Playing the guitar: I have been playing the guitar for several years and enjoy learning new songs.

  • Answered by AI
  • Q3. Question 3)What do you know about our company?
  • Ans. 

    Our company is a leading tech startup specializing in AI-driven solutions for businesses.

    • Specializes in AI-driven solutions for businesses

    • Considered a leading tech startup in the industry

    • Known for innovative and cutting-edge technology

    • Has a strong focus on research and development

    • Provides services to a wide range of industries

  • Answered by AI
  • Q4. Question 4) Why do you want to join our company?
  • Ans. 

    I want to join your company because of its innovative projects, strong company culture, and opportunities for growth.

    • Innovative projects that align with my interests and skills

    • Strong company culture that values collaboration and employee development

    • Opportunities for growth and advancement within the company

  • Answered by AI
  • Q5. Question 5) Tell me about your training and projects you have done in college?
  • Ans. 

    I completed various training programs and projects during my college years, gaining hands-on experience in different areas.

    • Completed a training program in data analysis using Python and R

    • Developed a mobile application for a class project using Java and Android Studio

    • Participated in a research project on renewable energy sources

    • Completed an internship at a local software company, working on web development projects

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Start by researching about the company and job profile you applied for. Practice common interview questions. Be confident. Ask questions at the end of the interview. Remember your CV details. Arrive on time and stay relaxed.

I applied via Naukri.com and was interviewed in Jun 2020. There were 3 interview rounds.

Interview Questionnaire 

1 Question

  • Q1. All the questions were relevant to my domain knowledge.

Interview Preparation Tips

Interview preparation tips for other job seekers - Gather some good knowledge about the company before appearing for the interview and answer confidently whatever is known.
The rest is in the hands of the interviewer.
Are these interview questions helpful?

I appeared for an interview before Jun 2016.

Interview Questionnaire 

1 Question

  • Q1. Java related questions on Oops concept and Multithreading

Interview Preparation Tips

Round: Test
Experience: Simple aptitude and reasoning questions little java based programming
Tips: Basic programming knowledge and good aptitude
Duration: 1 hour
Total Questions: 60

Round: Technical Interview
Experience: Normal questions on Java, basic programming questions like reverse no. , String related and logical coding
Tips: What u mentioned on your resume go through that only, they will not ask apart from your resume

Skills: How Well You Are Able To Communicate What You Wanted To Tell, Programming
College Name: SRCEM

I appeared for an interview before Aug 2016.

Interview Preparation Tips

Round: Resume Shortlist
Experience: I am vinothkumar from Dindugal, I was studied computer engineering in Madurai institute of engineering and technology at sivagangai, I am quality controller in RR DONNELLY at Chennai, my experience 2 years, my family staying in native, my father palanichami he is a former, my mother tamilselvi she is home maker and my one yelder brother Vijayakumar he is driver, I am interested area software engineer, my hobbies are listening music, reading book and news paper, playing and watching cricket
Tips: No comments

Round: Test
Experience: I am vinothkumar from Dindugal, I was studied computer engineering in Madurai institute of engineering and technology at sivagangai, I am quality controller in RR DONNELLY at Chennai, my experience 2 years, my family staying in native, my father palanichami he is a former, my mother tamilselvi she is home maker and my one yelder brother Vijayakumar he is driver, I am interested area software engineer, my hobbies are listening music, reading book and news paper, playing and watching cricket
Tips: No comments
Total Questions: 15

Round: Test
Experience: See my mentality
Tips: No comments
Duration: 45 minutes

Round: Group Discussion
Experience: Communication
Tips: No comments

Skills: Communication And Confidence

I appeared for an interview before May 2016.

Interview Preparation Tips

College Name: GPREC kurnool

NexusLink Services Interview FAQs

How many rounds are there in NexusLink Services interview?
NexusLink Services interview process usually has 3 rounds. The most common rounds in the NexusLink Services interview process are Technical, HR and Resume Shortlist.
How to prepare for NexusLink Services 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 NexusLink Services. The most common topics and skills that interviewers at NexusLink Services expect are Javascript, PHP, C#, MySQL and Front End.
What are the top questions asked in NexusLink Services interview?

Some of the top questions asked at the NexusLink Services interview -

  1. what is bais and variance. tell me assumption consider for different machine le...read more
  2. will ask technical question on machine learning , deep learning and on computer...read more

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Overall Interview Experience Rating

3/5

based on 2 interview experiences

Difficulty level

Moderate 100%

Duration

Less than 2 weeks 100%
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3.1/5

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3.2

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3.0

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2.9

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