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Cuelogic Data Scientist Interview Questions and Answers

Updated 19 Jan 2021

Cuelogic Data Scientist Interview Experiences

1 interview found

I applied via Recruitment Consultant and was interviewed in Dec 2020. There was 1 interview round.

Interview Questionnaire 

4 Questions

  • Q1. I was working on text projects in my current company and was asked the questions around that only. 1. What is a count vectorizer?
  • Q2. How to train a custom word embedding model?
  • Ans. 

    Custom word embedding models can be trained using algorithms like Word2Vec and GloVe.

    • Choose a corpus of text data to train the model on

    • Preprocess the text data by tokenizing and cleaning it

    • Use an algorithm like Word2Vec or GloVe to train the model

    • Tune hyperparameters like vector size and window size for optimal results

    • Evaluate the model using metrics like cosine similarity and word analogy tests

  • Answered by AI
  • Q3. What are the different text clustering algorithms?
  • Ans. 

    Text clustering algorithms group similar documents together based on their content.

    • K-means clustering

    • Hierarchical clustering

    • DBSCAN

    • Latent Dirichlet Allocation (LDA)

    • Non-negative Matrix Factorization (NMF)

    • Agglomerative clustering

    • Spectral clustering

  • Answered by AI
  • Q4. What text pre-processings you did?
  • Ans. 

    I performed standard text pre-processing techniques such as tokenization, stop word removal, and stemming.

    • Tokenization to split text into individual words or phrases

    • Stop word removal to eliminate common words that do not add meaning

    • Stemming to reduce words to their root form

    • Lowercasing to standardize text

    • Removing punctuation and special characters

    • Handling misspellings and abbreviations

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Revise your previous implementations Thoroughly.
Be prepared with Why and how type of questions for every statement you make about your previous implementations.

Skills evaluated in this interview

Interview questions from similar companies

Interview experience
1
Bad
Difficulty level
Moderate
Process Duration
6-8 weeks
Result
No response

I applied via Walk-in and was interviewed in Dec 2024. There were 3 interview rounds.

Round 1 - HR 

(2 Questions)

  • Q1. How could you use AI in a company?
  • Q2. Tell me about your past experience.
Round 2 - Aptitude Test 

Few maths , few English , few problem solving

Round 3 - Technical 

(2 Questions)

  • Q1. Few details about data Science regressions and all
  • Q2. Write pseudo code in python

Interview Preparation Tips

Interview preparation tips for other job seekers - Please ask them if they are serious about this job or if they are doing the time pass as they don't have anything else to do, even if they tell you they are selecting you don't believe them, don't leave other offers because of them.
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
-
Result
Selected Selected
Round 1 - Assignment 

Object Detection on a subset of COCO dataset having Cars and Person classes

Round 2 - Technical 

(1 Question)

  • Q1. Technical discussion on Machine Learning, Deep Learning Concepts and coding round.
Round 3 - Technical 

(1 Question)

  • Q1. Technical discussion on Deep Learning and Computer Vision.
Interview experience
4
Good
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 - Aptitude Test 

Mcq type aptitude is there

Round 3 - Coding Test 

Basic level logical questions will be there

Round 4 - One-on-one 

(1 Question)

  • Q1. Hr round taken by hr person only
Interview experience
1
Bad
Difficulty level
Moderate
Process Duration
6-8 weeks
Result
No response

I applied via Walk-in and was interviewed in Dec 2024. There were 3 interview rounds.

Round 1 - HR 

(2 Questions)

  • Q1. How could you use AI in a company?
  • Q2. Tell me about your past experience.
Round 2 - Aptitude Test 

Few maths , few English , few problem solving

Round 3 - Technical 

(2 Questions)

  • Q1. Few details about data Science regressions and all
  • Q2. Write pseudo code in python

Interview Preparation Tips

Interview preparation tips for other job seekers - Please ask them if they are serious about this job or if they are doing the time pass as they don't have anything else to do, even if they tell you they are selecting you don't believe them, don't leave other offers because of them.
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
-
Result
Selected Selected
Round 1 - Assignment 

Object Detection on a subset of COCO dataset having Cars and Person classes

Round 2 - Technical 

(1 Question)

  • Q1. Technical discussion on Machine Learning, Deep Learning Concepts and coding round.
Round 3 - Technical 

(1 Question)

  • Q1. Technical discussion on Deep Learning and Computer Vision.
Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Resume Shortlist 
Pro Tip by AmbitionBox:
Don’t add your photo or details such as gender, age, and address in your resume. These details do not add any value.
View all tips
Round 2 - Aptitude Test 

Mcq type aptitude is there

Round 3 - Coding Test 

Basic level logical questions will be there

Round 4 - One-on-one 

(1 Question)

  • Q1. Hr round taken by hr person only

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

Interview Questionnaire 

1 Question

  • Q1. Questions were mainly around NLP, my project and some ML and DL basics. Some questions were also there from time series data.

Interview Preparation Tips

Interview preparation tips for other job seekers - One should be clear with their projects and basics.

Cuelogic Interview FAQs

How to prepare for Cuelogic 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 Cuelogic. The most common topics and skills that interviewers at Cuelogic expect are Data Science, Machine Learning, Python, AWS and Clustering.
What are the top questions asked in Cuelogic Data Scientist interview?

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

  1. How to train a custom word embedding mod...read more
  2. What are the different text clustering algorith...read more
  3. What text pre-processings you d...read more

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