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iSpace Data Scientist Interview Questions and Answers

Updated 17 Jun 2024

iSpace Data Scientist Interview Experiences

1 interview found

Data Scientist Interview Questions & Answers

user image Bindu Yamajala

posted on 17 Jun 2024

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

(2 Questions)

  • Q1. Explain what tools you have used to deploy the models
  • Ans. 

    I have used tools like Flask, Docker, and AWS to deploy machine learning models.

    • Utilized Flask to create RESTful APIs for model deployment

    • Containerized models using Docker for easy deployment and scalability

    • Deployed models on AWS EC2 instances for production use

  • Answered by AI
  • Q2. Explain architecture of Tranformers
  • Ans. 

    Transformers are a type of deep learning model architecture that utilizes self-attention mechanisms.

    • Transformers consist of an encoder and a decoder, each composed of multiple layers of self-attention and feedforward neural networks.

    • Self-attention allows the model to weigh the importance of different input tokens when making predictions.

    • Transformers have been widely used in natural language processing tasks, such as ma...

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - the company does 3 rounds of discussion two are technical and one with operational head. the technical rounds involves real time questions on the projects we have worked

Skills evaluated in this interview

Interview questions from similar companies

Interview experience
4
Good
Difficulty level
Moderate
Process Duration
-
Result
-

I applied via Recruitment Consulltant and was interviewed in Nov 2024. There was 1 interview round.

Round 1 - Technical 

(2 Questions)

  • Q1. Detailed project questions
  • Q2. Explain completed gen ai project
  • Ans. 

    Developed a generative AI model to create realistic images of fictional characters.

    • Used GANs (Generative Adversarial Networks) to generate new images based on existing data.

    • Trained the model on a dataset of character images from various sources.

    • Implemented techniques like style transfer to enhance the diversity and creativity of generated images.

    • Evaluated the model's performance based on image quality metrics and user

  • Answered by AI

Skills evaluated in this interview

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

How to build model to detect fraud

Round 2 - Technical 

(2 Questions)

  • Q1. Decision tree model
  • Q2. Past project in details
  • Ans. 

    Developed a predictive model for customer churn in a telecom company

    • Used machine learning algorithms like logistic regression and random forest

    • Analyzed customer data such as call duration, plan details, and customer complaints

    • Achieved 85% accuracy in predicting customer churn

  • Answered by AI
Interview experience
1
Bad
Difficulty level
-
Process Duration
-
Result
-
Round 1 - HR 

(1 Question)

  • Q1. Asking about project tools which i never know
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
-
Result
-

I applied via Recruitment Consulltant and was interviewed in Nov 2024. There was 1 interview round.

Round 1 - Technical 

(2 Questions)

  • Q1. Detailed project questions
  • Q2. Explain completed gen ai project
  • Ans. 

    Developed a generative AI model to create realistic images of fictional characters.

    • Used GANs (Generative Adversarial Networks) to generate new images based on existing data.

    • Trained the model on a dataset of character images from various sources.

    • Implemented techniques like style transfer to enhance the diversity and creativity of generated images.

    • Evaluated the model's performance based on image quality metrics and user

  • Answered by AI

Skills evaluated in this interview

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

How to build model to detect fraud

Round 2 - Technical 

(2 Questions)

  • Q1. Decision tree model
  • Q2. Past project in details
  • Ans. 

    Developed a predictive model for customer churn in a telecom company

    • Used machine learning algorithms like logistic regression and random forest

    • Analyzed customer data such as call duration, plan details, and customer complaints

    • Achieved 85% accuracy in predicting customer churn

  • Answered by AI
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
More than 8 weeks
Result
Selected Selected

I applied via LinkedIn and was interviewed in Nov 2023. There were 2 interview rounds.

Round 1 - Case Study 

How would you solve a financial fraud problems at a bank

Round 2 - One-on-one 

(2 Questions)

  • Q1. How do you handle mutiple tasks
  • Ans. 

    I prioritize tasks based on deadlines and importance, use to-do lists and calendars, delegate when possible, and focus on one task at a time.

    • Prioritize tasks based on deadlines and importance

    • Use to-do lists and calendars to stay organized

    • Delegate tasks when possible to lighten the workload

    • Focus on one task at a time to avoid feeling overwhelmed

  • Answered by AI
  • Q2. How do you learn new material on DS

Interview Preparation Tips

Interview preparation tips for other job seekers - Great 1 hour round
Interview experience
1
Bad
Difficulty level
-
Process Duration
-
Result
-
Round 1 - HR 

(1 Question)

  • Q1. Asking about project tools which i never know

I applied via Recruitment Consultant and was interviewed before Dec 2020. There were 3 interview rounds.

Interview Questionnaire 

1 Question

  • Q1. Questions were basically related to the projects done previously. If you have knowledge about statistics and model interviews you can clear interviews.

Interview Preparation Tips

Interview preparation tips for other job seekers - Sound knowledge about statistics , modelling are more than enough to clear interviews

iSpace Interview FAQs

How many rounds are there in iSpace Data Scientist interview?
iSpace interview process usually has 1 rounds. The most common rounds in the iSpace interview process are Technical.
What are the top questions asked in iSpace Data Scientist interview?

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

  1. Explain what tools you have used to deploy the mod...read more
  2. Explain architecture of Tranform...read more

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