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PreludeSys Data Scientist Interview Questions and Answers

Updated 24 Aug 2024

PreludeSys Data Scientist Interview Experiences

1 interview found

Interview experience
4
Good
Difficulty level
Moderate
Process Duration
-
Result
Not Selected

I was interviewed in Jul 2024.

Round 1 - Technical 

(2 Questions)

  • Q1. What is RAG ?
  • Ans. 

    RAG stands for Red, Amber, Green and is a color coding system used to indicate the status of a project or task.

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

    • Red typically indicates that a task or project is behind schedule or facing significant issues.

    • Amber signifies that there are some concerns or risks that need to be addressed.

    • Green means that a task or p...

  • Answered by AI
  • Q2. How you trainined LLM model?
  • Ans. 

    I trained the LLM model using a combination of labeled data, feature engineering, and iterative model tuning.

    • Collected and preprocessed labeled data for training

    • Performed feature engineering to extract relevant features

    • Used iterative model tuning to optimize performance

    • Evaluated model performance using metrics like accuracy, precision, and recall

  • Answered by AI

Skills evaluated in this interview

Interview questions from similar companies

I applied via Recruitment Consultant and was interviewed in Mar 2021. There was 1 interview round.

Interview Questionnaire 

1 Question

  • Q1. Explain about your projects

Interview Preparation Tips

Interview preparation tips for other job seekers - Interviewer was looking for Data science experience in infrastructure that is building a solution for remedy ticket

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. Please tell me something about yourself.What is your experience? What are your goals and ambitions?Why We should hire you? Strengths and weaknesses etc.

I applied via Referral and was interviewed in Mar 2021. There were 4 interview rounds.

Interview Questionnaire 

2 Questions

  • Q1. What is data science
  • Ans. 

    Data science is the field of extracting insights and knowledge from data using various techniques and tools.

    • Data science involves collecting, cleaning, and analyzing data to extract insights.

    • It uses various techniques such as machine learning, statistical modeling, and data visualization.

    • Data science is used in various fields such as finance, healthcare, and marketing.

    • Examples of data science applications include fraud...

  • Answered by AI
  • Q2. What is phyton and R
  • Ans. 

    Python and R are programming languages commonly used in data science and statistical analysis.

    • Python is a general-purpose language with a large community and many libraries for data manipulation and machine learning.

    • R is a language specifically designed for statistical computing and graphics, with a wide range of packages for data analysis and visualization.

    • Both languages are popular choices for data scientists and hav...

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Provide the tips how to face the interview

Skills evaluated in this interview

Interview experience
2
Poor
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
-

I applied via Approached by Company and was interviewed in Jan 2024. There was 1 interview round.

Round 1 - One-on-one 

(1 Question)

  • Q1. Explain the importance of Model Evaluation in the process of ML pipeline
  • Ans. 

    Model evaluation is crucial in ML pipeline to assess the performance and generalization of the model.

    • Helps in selecting the best model for the given problem by comparing different models based on metrics like accuracy, precision, recall, etc.

    • Prevents overfitting by checking if the model is performing well on unseen data.

    • Guides in fine-tuning hyperparameters to improve model performance.

    • Enables understanding of model li...

  • Answered by AI

Skills evaluated in this interview

Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
No response

I applied via Company Website and was interviewed in Apr 2024. There was 1 interview round.

Round 1 - Technical 

(1 Question)

  • Q1. What is linear regression? How to process data? Explain KLM algorithm.
  • Ans. 

    Linear regression is a statistical method used to model the relationship between a dependent variable and one or more independent variables.

    • Linear regression is used to predict the value of a dependent variable based on the value of one or more independent variables.

    • It assumes a linear relationship between the independent and dependent variables.

    • The goal of linear regression is to find the best-fitting line that minimi...

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Prepare for ml algorithms, mostly focus on linear regression

Skills evaluated in this interview

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
Hard
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Recruitment Consulltant and was interviewed before Oct 2022. There were 3 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 - Technical 

(1 Question)

  • Q1. Questions around resume
  • Ans. Explained word done by me and my responsibilities
  • Answered by Nikhil Pawar
Round 3 - One-on-one 

(1 Question)

  • Q1. Questions around python programming and my experience in data science
  • Ans. Explained end to end implementation of some of the projects I worked on
  • Answered by Nikhil Pawar

Interview Preparation Tips

Interview preparation tips for other job seekers - Study your resume and be ready to answer questions around that
Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(2 Questions)

  • Q1. Number of Duplicate words in a string
  • Ans. 

    Count the number of duplicate words in a string.

    • Split the string into words using a delimiter like space or punctuation.

    • Create a dictionary to store the count of each word.

    • Iterate through the words and increment the count in the dictionary.

    • Count the number of words with count greater than 1 as duplicates.

  • Answered by AI
  • Q2. Chunking in LLM
  • Ans. 

    Chunking in LLM refers to breaking down text into smaller chunks for better processing by the language model.

    • Chunking helps improve the efficiency of the language model by breaking down large text inputs into smaller segments.

    • It can help the model better understand the context and relationships within the text.

    • Chunking is commonly used in natural language processing tasks such as text summarization and sentiment analys

  • Answered by AI

Skills evaluated in this interview

PreludeSys Interview FAQs

How many rounds are there in PreludeSys Data Scientist interview?
PreludeSys interview process usually has 1 rounds. The most common rounds in the PreludeSys interview process are Technical.
How to prepare for PreludeSys 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 PreludeSys. The most common topics and skills that interviewers at PreludeSys expect are Artificial Intelligence, Machine Learning, Natural Language Processing and Python.
What are the top questions asked in PreludeSys Data Scientist interview?

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

  1. How you trainined LLM mod...read more
  2. What is RA...read more

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PreludeSys Data Scientist Interview Process

based on 1 interview

Interview experience

4
  
Good
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