Iris Software Data Scientist Interview Questions and Answers

Q1. Questions around the previous work
Add your answer
Q2. Questions around how re-rank work, and image segmentation,
Add your answer
Q3. Questions with podman and docker
Add your answer

1.Describe your project.
2.Explain machine learning concept.

Presentation based question on case study

Q1. Tell something which you haven't put in your resume
Ans. 
I have experience in organizing and leading community service projects
• Organized a charity event to raise funds for a local animal shelter

• Led a team of volunteers in cleaning up a park in the neighborhood

• Coordinated a food drive for a homeless shelter
Answered by AI
Add your answer

Aptitude, coding on python NLP

Python Data Frames, String list manipulation

Q1. Common discussion
Add your answer
Q2. Salary location etc
Add your answer

Write a code for Factorial series

Q1. Deep learning related
Add your answer
Q2. Maximum GenAI Based question
Add your answer

Test+2 interviews(technical and statistics)

Basic guestimates and case studies

Q1. Data science related areas
Add your answer

Case study related to semantic search

Q1. Questions based on case study
Add your answer

Q1. Questions related to data science
Add your answer

Q1. Questions related to data science
Add your answer

The first was a mcq based coding round for campus placement

This was a pairing coding round

Q1. Explain different unsupervised algo
Ans. 
Unsupervised algorithms are used to find patterns in data without labeled outcomes.
• K-means clustering: partitions data into K clusters based on similarity

• Hierarchical clustering: creates a tree of clusters based on similarity

• Principal Component Analysis (PCA): reduces dimensionality by finding orthogonal components

• Association rule mining: discovers interesting relationships between variables in large datasets
Answered by AI
Add your answer