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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

Interview experience
5
Excellent
Difficulty level
Easy
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Referral and was interviewed in Feb 2024. There were 2 interview rounds.

Round 1 - Technical 

(2 Questions)

  • Q1. Difference between Drop and Truncate ?
  • Ans. 

    Drop deletes the table structure and data, while truncate only deletes the data.

    • Drop is a DDL (Data Definition Language) command, while truncate is a DML (Data Manipulation Language) command.

    • Drop removes the table from the database, while truncate only removes the rows from the table.

    • Drop is slower and requires more permissions than truncate.

    • Example: DROP TABLE table_name; TRUNCATE TABLE table_name;

  • Answered by AI
  • Q2. To write SQL queries
Round 2 - HR 

(2 Questions)

  • Q1. Why you are switching to non-core?
  • Ans. 

    I am switching to non-core because I want to explore new opportunities and challenges outside of my current field.

    • Seeking new challenges and opportunities

    • Exploring different industries and roles

    • Developing new skills and gaining diverse experience

  • Answered by AI
  • Q2. What are your expected salary?
  • Ans. 

    I am looking for a competitive salary that reflects my skills and experience in the data analysis field.

    • Research the average salary for Data Analysts in your area to have a realistic expectation

    • Consider your level of experience, education, and any specialized skills you bring to the table

    • Be prepared to negotiate based on the company's budget and benefits package

  • Answered by AI

Skills evaluated in this interview

Interview experience
3
Average
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
No response

I applied via Naukri.com and was interviewed in Nov 2024. There were 2 interview rounds.

Round 1 - Assignment 

SQL, excel, tableau , looker studio

Round 2 - HR 

(1 Question)

  • Q1. What is your notice period.
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Naukri.com and was interviewed in Nov 2024. There were 2 interview rounds.

Round 1 - Coding Test 

SQL -- LeetCode style questions Medium lvl

Round 2 - Behavioral 

(2 Questions)

  • Q1. Past experiences
  • Q2. How one can help with eshopbox
  • Ans. 

    One can help with eshopbox by analyzing data to improve customer experience and optimize sales.

    • Conduct data analysis to identify trends and patterns in customer behavior

    • Use data to personalize marketing strategies and recommend products to customers

    • Optimize website layout and user experience based on data insights

    • Implement data-driven pricing strategies to maximize sales and profits

  • Answered by AI
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Campus Placement and was interviewed in Dec 2022. There were 4 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 - Coding Test 

2 questions dsa based

Round 3 - Technical 

(2 Questions)

  • Q1. Recursion based coding questions
  • Q2. Resume , grill on projects
Round 4 - HR 

(1 Question)

  • Q1. Why sde inspite of having different background
Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Assignment 

Ml, nlp, python, sql, random forest

Round 2 - Technical 

(1 Question)

  • Q1. Technical data scientist projects related situations based questions

Interview Preparation Tips

Interview preparation tips for other job seekers - Be prepared on projects
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
6-8 weeks
Result
No response

I appeared for an interview in Jul 2024.

Round 1 - HR 

(1 Question)

  • Q1. What machine learning algorithm you have used ?
  • Ans. 

    I have used various machine learning algorithms including linear regression, decision trees, random forests, support vector machines, and neural networks.

    • Linear Regression

    • Decision Trees

    • Random Forests

    • Support Vector Machines

    • Neural Networks

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Prepare stats even for HR interview

Skills evaluated in this interview

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

(2 Questions)

  • Q1. Given A Data Set And Find any anomalies and how to clean up this data
  • Q2. Basic SQL/Pandas
Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Assignment 

Defect detection based on IV reading

Round 2 - Technical 

(1 Question)

  • Q1. ML basics like preprocessing step , balance imbalance dataset, correlation
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 - Technical 

(1 Question)

  • Q1. Basic Machine Learning and Deep Learning Questions
Round 3 - Technical 

(1 Question)

  • Q1. Live coding test on python
Round 4 - HR 

(1 Question)

  • Q1. Salary discussion’s

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

Tell us how to improve this page.

HyperVerge Data Scientist Interview Process

based on 1 interview

Interview experience

4
  
Good
View more

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