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HyperVerge Data Scientist Interview Questions and Answers

Updated 18 Jul 2024

HyperVerge Data Scientist Interview Experiences

1 interview found

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

(2 Questions)

  • Q1. What is LLM how do you fine tune them
  • Ans. 

    LLM stands for Language Model. Fine tuning involves adjusting hyperparameters and training on specific data.

    • LLM stands for Language Model, which is a type of AI model that predicts the next word in a sentence.

    • Fine tuning LLM involves adjusting hyperparameters such as learning rate, batch size, and number of training epochs.

    • Fine tuning also involves training the LLM on specific data related to the task at hand, such as ...

  • Answered by AI
  • Q2. What is RAG and its working?
  • Ans. 

    RAG stands for Red, Amber, Green and is a project management tool used to visually indicate the status of tasks or projects.

    • RAG is commonly used in project management to quickly communicate the status of tasks or projects.

    • Red typically indicates tasks or projects that are behind schedule or at risk, Amber indicates tasks that are on track but may need attention, and Green indicates tasks that are on schedule or complet...

  • Answered by AI

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

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

Interview Questionnaire 

1 Question

  • Q1. What friends think of you?
  • Ans. 

    My friends think of me as reliable, supportive, and always up for a good time.

    • Reliable - always there when they need help or support

    • Supportive - willing to listen and offer advice

    • Fun-loving - enjoys socializing and trying new things

  • Answered by AI

Interview Preparation Tips

Round: Resume Shortlist
Experience: After Resume Shortlist we had an aptitute round.
Tips: Answer according to your own judgement. Dont try to be too precise.

Round: HR Interview
Experience: I said they think I am a workaholic as I prefer to complete my work before chilling with them.

College Name: NIT Durgapur

Interview Preparation Tips

Round: HR Interview
Experience: Interview at 11 pm. Stressed environment, close to stress interview.
SELECTION PROCEDURE:
1.Online Test
2. GD
3. PI(HR)
GD TOPICS :
Topic 1 : How can education system benefit from interdisciplinary methods.
Topic 2 : Interconnected problems in the field of movie making.
INTERVIEW EXPERIENCE:
So you can speak German? Describe MS Dhoni in german. They opened Google Translate to counter check the words they wanted to be translated in both Deutsch and Spanish. Your profile speaks of an inclination towards software skills, why do you want to join an analytics company? Justify your action in two reasons as to why are you sitting here interviewing for the post of a data scientist rather than apply for a software engineer when this CV speaks highly of computer science? What is Finite Element Method? Explain. How relevant is your work in Computer Vision? Breakdown the tagline of Audi and translate accordingly. What is "Technik für Mobel" ? What are your current projects? Answer : Microsoft Xbox Kinect, Gesture Recognition. Counter question : But at Musimga you'd be doing far simpler stuff.? Counter suggestion : Why don't you go for MS?


Tips: Keep your cool during counter questions. Prepare your profile and CV well. Rest all is your hard work and groomed personal talents and acquired skills you learnt over the internet.

Skills: Ability To Cope Up With Stress, Spanish, German, Finite Element Modeling - FEM, Foreign Language
College Name: NIT Raipur
Funny Moments: Another HR enters in the midst of my interview and asks with bewildered amazement : What language is he speaking?
The other HR, "German".

Interview Questionnaire 

1 Question

  • Q1. First Round: Basic Statistics, Basic Python Programming, Past Projects. Second Round: Past Projects, Questions from computer vision, NLP, SQL, Basic Python.
Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Aptitude Test 

General aptitude basics

Round 2 - Coding Test 

Mcq and basic ml model building

Interview Preparation Tips

Interview preparation tips for other job seekers - Stay calm and enjoy the process
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
-

I applied via Approached by Company

Round 1 - Technical 

(3 Questions)

  • Q1. Explain Transformers how different from previous RNN, LSTM etc.
  • Ans. 

    Transformers are a type of neural network architecture that utilizes self-attention mechanisms to process sequential data.

    • Transformers use self-attention mechanisms to weigh the importance of different input elements, allowing for parallel processing of sequences.

    • Unlike RNNs and LSTMs, Transformers do not rely on sequential processing, making them more efficient for long-range dependencies.

    • Transformers have been shown ...

  • Answered by AI
  • Q2. What are different types of Attention?
  • Ans. 

    Different types of Attention include self-attention, global attention, and local attention.

    • Self-attention focuses on relationships within the input sequence itself.

    • Global attention considers the entire input sequence when making predictions.

    • Local attention only attends to a subset of the input sequence at a time.

    • Examples include Transformer's self-attention mechanism, Bahdanau attention, and Luong attention.

  • Answered by AI
  • Q3. Difference between GPT and BERT model
  • Ans. 

    GPT is a generative model while BERT is a transformer model for natural language processing.

    • GPT is a generative model that predicts the next word in a sentence based on previous words.

    • BERT is a transformer model that considers the context of a word by looking at the entire sentence.

    • GPT is unidirectional, while BERT is bidirectional.

    • GPT is better for text generation tasks, while BERT is better for understanding the cont

  • Answered by AI
Round 2 - HR 

(1 Question)

  • Q1. Difference between Data scientist, ML and AI
  • Ans. 

    Data scientists analyze data to gain insights, machine learning (ML) involves algorithms that improve automatically through experience, and artificial intelligence (AI) refers to machines mimicking human cognitive functions.

    • Data scientists analyze large amounts of data to uncover patterns and insights.

    • Machine learning involves developing algorithms that improve automatically through experience.

    • Artificial intelligence r...

  • Answered by AI

Skills evaluated in this interview

I applied via Naukri.com and was interviewed in Sep 2021. There were 4 interview rounds.

Interview Questionnaire 

1 Question

  • Q1. There is online test is totally on SQL please prepare for SQL. There are 3 rounds in which first online test based on sql then 2nd is technical round and 3rd Manager round. Technical round on sql and machi...

Interview Preparation Tips

Interview preparation tips for other job seekers - Mainly Please prepare for SQL, Machine Learning and case study.
Interview experience
5
Excellent
Difficulty level
Easy
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Naukri.com and was interviewed before Oct 2022. There were 3 interview rounds.

Round 1 - Resume Shortlist 
Pro Tip by AmbitionBox:
Properly align and format text in your resume. A recruiter will have to spend more time reading poorly aligned text, leading to high chances of rejection.
View all Resume tips
Round 2 - Aptitude Test 

Easy to solve if you have basic mathematics understanding.

Round 3 - Group Discussion 

They will test your presence of mind and thinking.

Interview experience
4
Good
Difficulty level
Easy
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Campus Placement and was interviewed in Aug 2024. There were 2 interview rounds.

Round 1 - Aptitude Test 

Aptitude test consists of 40 questions.

Round 2 - HR 

(2 Questions)

  • Q1. Introduce yourself with ur projects
  • Ans. 

    I am a data scientist with experience in developing predictive models and analyzing large datasets.

    • Developed a predictive model for customer churn prediction using machine learning algorithms

    • Analyzed sales data to identify key trends and patterns for business optimization

    • Implemented natural language processing techniques for sentiment analysis of customer reviews

  • Answered by AI
  • Q2. Problem statement of a case that needs solutions.
  • Ans. 

    Develop a predictive model to identify potential customers for a new product launch.

    • Define the target variable and features to be used in the model

    • Collect and preprocess relevant data for training the model

    • Select an appropriate machine learning algorithm and train the model

    • Evaluate the model's performance using metrics like accuracy, precision, and recall

    • Use the model to predict potential customers for the new product

  • Answered by AI
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HyperVerge Interview FAQs

How many rounds are there in HyperVerge Data Scientist interview?
HyperVerge interview process usually has 1 rounds. The most common rounds in the HyperVerge interview process are Technical.
What are the top questions asked in HyperVerge Data Scientist interview?

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

  1. What is LLM how do you fine tune t...read more
  2. What is RAG and its worki...read more

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