Xoriant Data Scientist Interview Questions and Answers

Q1. Questions around the previous work
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Q2. Questions around how re-rank work, and image segmentation,
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Q3. Questions with podman and docker
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Q1. Write a few python queries and some live sql coding and pyspark coding
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Q2. Machine learning questions. Way too deep. which is not even required
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Aptitude, coding on python NLP

Python Data Frames, String list manipulation

Q1. Common discussion
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Q2. Salary location etc
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Q1. Data Science concepts like regularization, evaluation metrics.
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Q1. Data science related areas
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Case study related to semantic search

Q1. Questions based on case study
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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
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