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Mirafra Technologies Data Scientist Interview Questions and Answers

Updated 25 Dec 2022

Mirafra Technologies Data Scientist Interview Experiences

1 interview found

I applied via Naukri.com and was interviewed in Nov 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. Python Boosting Random Forest NLP Cnn
Round 3 - Technical 

(1 Question)

  • Q1. Scenario based questions

Interview Preparation Tips

Interview preparation tips for other job seekers - Focus on basics of all the concepts and mathematics behind the algorithms

Interview questions from similar companies

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.

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

I applied via Naukri.com and was interviewed before Feb 2023. There were 2 interview rounds.

Round 1 - Technical 

(2 Questions)

  • Q1. When do we use PCA?
  • Ans. 

    PCA is used to reduce the dimensionality of data by finding the most important features.

    • PCA is used when dealing with high-dimensional data to reduce the number of features and avoid multicollinearity.

    • It helps in visualizing data in lower dimensions while retaining as much variance as possible.

    • PCA is commonly used in image processing, genetics, finance, and other fields where dimensionality reduction is needed.

  • Answered by AI
  • Q2. PCA is a dimensionality reduction technique and is used to reduce the less useful features from the dataset
Round 2 - Technical 

(1 Question)

  • Q1. LTTS data science interview

Skills evaluated in this interview

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

I applied via Approached by Company and was interviewed in Aug 2023. 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. All about my previous projects and questions based on that. Also, they checked the knowledge of Generative AI & LLM.
Round 3 - One-on-one 

(1 Question)

  • Q1. All about my previous projects and questions based on that. It was a techno-managerial round which was also focused on situation based scenarios. Taken by Head of AI/ML - CoE.
Interview experience
3
Average
Difficulty level
Hard
Process Duration
-
Result
No response
Round 1 - Technical 

(1 Question)

  • Q1. Basics of Data Science was asked
Round 2 - Technical 

(1 Question)

  • Q1. About projects and technical side of project tech stack
Interview experience
3
Average
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
No response

I applied via Job Portal and was interviewed before May 2023. There were 2 interview rounds.

Round 1 - Coding Test 

Coding and AI related Questions

Round 2 - Technical 

(1 Question)

  • Q1. Detail technical questions on projects
Interview experience
1
Bad
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(1 Question)

  • Q1. What kind of project you worked
  • Ans. 

    I have worked on projects involving predictive modeling, natural language processing, and computer vision.

    • Predictive modeling: Developed machine learning models to predict customer churn for a telecom company.

    • Natural language processing: Built a sentiment analysis tool to analyze customer reviews for a retail company.

    • Computer vision: Implemented a facial recognition system for access control in a secure facility.

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Interviewer not in mood of listen. When he asked question he didn't even wait for answer and ask another question. Some kind of confused person I guess.
Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(1 Question)

  • Q1. Python coding questions followed by machine learning , deep learning algorithms
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Naukri.com and was interviewed in Aug 2023. There were 2 interview rounds.

Round 1 - One-on-one 

(1 Question)

  • Q1. Explain confusion matrix Define what is p value Explain k means vs decion tree
  • Ans. 

    Confusion matrix is a table used to evaluate the performance of a classification model. P value is a measure of the strength of evidence against the null hypothesis. K-means is a clustering algorithm while decision tree is a classification algorithm.

    • Confusion matrix is a 2x2 table that shows the true positive, true negative, false positive, and false negative values of a classification model.

    • P value is the probability ...

  • Answered by AI
Round 2 - Technical 

(1 Question)

  • Q1. What is nlp and explan cnn
  • Ans. 

    NLP stands for Natural Language Processing, while CNN refers to Convolutional Neural Networks.

    • NLP is a branch of artificial intelligence that focuses on the interaction between computers and humans using natural language.

    • CNN is a type of deep learning algorithm commonly used for image recognition and classification tasks.

    • CNNs are also used in NLP for tasks like text classification and sentiment analysis.

  • Answered by AI

Skills evaluated in this interview

Mirafra Technologies Interview FAQs

How many rounds are there in Mirafra Technologies Data Scientist interview?
Mirafra Technologies interview process usually has 3 rounds. The most common rounds in the Mirafra Technologies interview process are Technical and Resume Shortlist.
How to prepare for Mirafra Technologies 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 Mirafra Technologies. The most common topics and skills that interviewers at Mirafra Technologies expect are Brokerage, Machine Learning, Order Fulfillment, Natural Language Processing and Python.
What are the top questions asked in Mirafra Technologies Data Scientist interview?

Some of the top questions asked at the Mirafra Technologies Data Scientist interview -

  1. Python Boosting Random Forest NLP ...read more
  2. Scenario based questi...read more

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Mirafra Technologies Data Scientist Interview Process

based on 2 interviews

Interview experience

5
  
Excellent
View more
Mirafra Technologies Data Scientist Salary
based on 15 salaries
₹5 L/yr - ₹12 L/yr
41% less than the average Data Scientist Salary in India
View more details

Mirafra Technologies Data Scientist Reviews and Ratings

based on 5 reviews

4.5/5

Rating in categories

4.4

Skill development

4.8

Work-life balance

4.0

Salary

4.0

Job security

4.5

Company culture

3.8

Promotions

4.6

Work satisfaction

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