Statusneo Data Scientist Interview Questions and Answers

Q1. Co-relation coefficient
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Q2. RFM and Decision Tree Model Difference
Ans. 
RFM analyzes customer behavior, while Decision Trees are predictive models for classification and regression tasks.
• RFM stands for Recency, Frequency, and Monetary value, used for customer segmentation.

• Decision Trees are a machine learning algorithm used for classification and regression tasks.

• RFM helps identify valuable customers; for example, targeting high-frequency buyers for promotions.

• Decision Trees can predict ou...read more
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Q3. Python Dictionary
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Q4. LLM Architecture
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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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Test+2 interviews(technical and statistics)

Basic guestimates and case studies

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. Questions on MLP, ML
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Python round tested basic Python only (not Pandas)

The case study round was with their client team

Q1. Are you willing to work from the client office?
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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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