Brillio Data Scientist Interview Questions and Answers

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 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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Q1. Project that I worked on
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
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Q2. Use case only verbal communication
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Q1. Python programming, basic linear regression and logistic regression
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Q1. Linked list, dynamic programming questions
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