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CrowdANALYTIX Data Scientist Interview Questions and Answers

Updated 29 May 2024

CrowdANALYTIX Data Scientist Interview Experiences

1 interview found

Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(1 Question)

  • Q1. Explain LLms and its working
  • Ans. 

    LLms stands for Locally Linear Mapping System, a method for dimensionality reduction.

    • LLms is a technique used for reducing the dimensionality of data while preserving the local structure.

    • It works by finding a low-dimensional representation of the data that maintains the local linear relationships between data points.

    • LLms is commonly used in machine learning and data visualization tasks.

    • An example of LLms is the Locally...

  • Answered by AI

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Interview Tips & Stories
5d (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
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

Data Scientist Interview Questions Asked at Other Companies

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asked in Affine
Q3. You have a pandas dataframe with three columns filled with state ... read more
asked in Walmart
Q4. Describe the data you would analyze to solve cost and revenue opt ... read more
Q5. Clone a Linked List with Random Pointers Given a linked list wher ... read more
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Selected Selected

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

  • Q1. Scenario based SQL questions
  • Q2. Zomato marketing , Nykaa CASE studies

Interview Preparation Tips

Interview preparation tips for other job seekers - Prepare thoroughly
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Campus Placement and was interviewed in Apr 2024. There was 1 interview round.

Round 1 - Technical 

(2 Questions)

  • Q1. Difference between logistic regression and svm
  • Ans. 

    Logistic regression is a linear model used for binary classification, while SVM is a non-linear model that can handle complex decision boundaries.

    • Logistic regression is a probabilistic model that predicts the probability of a binary outcome based on input features.

    • SVM aims to find the hyperplane that best separates the classes in a high-dimensional space.

    • Logistic regression is more interpretable and easier to implement...

  • Answered by AI
  • Q2. Data augmentation related questions

Interview Preparation Tips

Topics to prepare for HyperVerge Data Analyst interview:
  • Machine Learning

Skills evaluated in this interview

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

(2 Questions)

  • Q1. Introduce yourself
  • Ans. 

    I am a dedicated and experienced professional with a background in marketing and a passion for driving results.

    • Experienced in marketing strategies and campaigns

    • Strong track record of achieving goals and targets

    • Passionate about driving results and exceeding expectations

  • Answered by AI
  • Q2. Strengths and weaknesses
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.

I applied via Recruitment Consulltant and was interviewed before Aug 2021. There was 1 interview round.

Round 1 - Technical 

(1 Question)

  • Q1. Difference between CNN and MLP
  • Ans. 

    CNN is used for image recognition while MLP is used for general classification tasks.

    • CNN uses convolutional layers to extract features from images while MLP uses fully connected layers.

    • CNN is better suited for tasks that require spatial understanding like object detection while MLP is better for tabular data.

    • CNN has fewer parameters than MLP due to weight sharing in convolutional layers.

    • CNN can handle input of varying ...

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Brush up basic statistics . Also prepare atleast 2 , 3 ML algorithms for the interview.

Skills evaluated in this interview

Are these interview questions helpful?

I applied via Company Website and was interviewed before May 2021. There was 1 interview round.

Round 1 - Technical 

(1 Question)

  • Q1. Basics of regression, bias variance

Interview Preparation Tips

Topics to prepare for GE Healthcare Data Scientist interview:
  • python
Interview preparation tips for other job seekers - ML basics. Some insight into past projects

I applied via Naukri.com and was interviewed before Oct 2020. There were 3 interview rounds.

Interview Questionnaire 

2 Questions

  • Q1. 1) Model building process of one of my previous projects 2) Random forest hyperparameters 3) ROC curve, using the ROC curve to set probability cutoffs in classication models 4) Gradient boosting techniques...
  • Ans. 

    Data Scientist interview questions on model building, random forest, ROC curve, gradient boosting, and real estate valuation

    • For model building, I followed the CRISP-DM process and used various algorithms like logistic regression, decision trees, and random forest

    • Random forest hyperparameters include number of trees, maximum depth, minimum samples split, and minimum samples leaf

    • ROC curve is a graphical representation of...

  • Answered by AI
  • Q2. 1) Model building process of one of my previous projects 2) Random forest hyperparameters 3) ROC curve, using the ROC curve to set probability cutoffs in classication models 4) Gradient boosting techniques...
  • Ans. 

    Data Scientist interview questions on model building, hyperparameters, ROC curve, gradient boosting, and real estate valuation

    • For model building, I followed the CRISP-DM process and used various algorithms like logistic regression, decision trees, and random forests

    • Random forest hyperparameters include number of trees, maximum depth, and minimum samples for a leaf node

    • ROC curve is a graphical representation of the trad...

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - My advice would be to search on Google regarding "100 data science interview questions" or something like it, and as you go through each question and its answer, just search the Wikipedia or Google for each concept for a little more depth. As for Python coding questions, most questions in such interviews are asked only about the Pandas library of Python. So try to study how to use Pandas to manipulate data. A good reference is the Python For Data Analysis book by Wes McKinney, whose free PDF is most probably available online on Google.

Skills evaluated in this interview

I applied via Job Portal and was interviewed before Jul 2021. There were 2 interview rounds.

Round 1 - Coding Test 

Complex SQL Queries, Analytics, Case Studies - Predictive modeling

Round 2 - Technical 

(1 Question)

  • Q1. Statistical methods, Curve properties, Stock (optimization) problems, ML algorithms

Interview Preparation Tips

Interview preparation tips for other job seekers - Prepare well on Statistics, Probability, ML Models, Optimization models

CrowdANALYTIX Interview FAQs

How many rounds are there in CrowdANALYTIX Data Scientist interview?
CrowdANALYTIX interview process usually has 1 rounds. The most common rounds in the CrowdANALYTIX interview process are Technical.
How to prepare for CrowdANALYTIX 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 CrowdANALYTIX. The most common topics and skills that interviewers at CrowdANALYTIX expect are Data Management, Data Science, Computer Vision, Machine Learning and Algorithms.

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Overall Interview Experience Rating

5/5

based on 1 interview experience

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CrowdANALYTIX Data Scientist Salary
based on 16 salaries
₹6 L/yr - ₹13 L/yr
37% less than the average Data Scientist Salary in India
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