TCS
Large multinational IT services and consulting enterprise based in India.
3 Rounds
~14 Days
Medium
The Interview Loop
Recruiter Screen (30 min)
Standard fit check, behavioral questions, and resume overview.
Technical Loop (3-4 Rounds)
Deep dive into domain knowledge, coding, and system design.
Interview Question Bank
Data Scientist
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Technical
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medium
How does XGBoost handle missing values internally?
#XGBoost
#Missing Data
#Algorithms
Data Scientist
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Technical
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easy
Explain the difference between Bagging and Boosting. Give an example of an algorithm for each.
#Ensemble Methods
#Random Forest
#XGBoost
Data Scientist
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Technical
•
medium
Given a massive transactional dataset from a banking client, how would you handle highly imbalanced classes for a fraud detection model?
#Imbalanced Data
#SMOTE
#Class Weights
#Fraud Detection
Data Scientist
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Technical
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hard
Explain the mathematical difference between L1 (Lasso) and L2 (Ridge) regularization. Why does L1 lead to sparsity?
#Regularization
#Mathematics
#Feature Selection
Data Scientist
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Technical
•
medium
What is Data Leakage in machine learning? Give an example of how it might occur in a time-series forecasting project.
#Data Leakage
#Time Series
#Cross-validation
Data Scientist
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Technical
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medium
What is the curse of dimensionality, and how do you mitigate it in a dataset with 5000 features?
#Dimensionality Reduction
#PCA
#Feature Engineering
Data Scientist
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Technical
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easy
Explain the difference between Precision and Recall. In a medical diagnosis model for a fatal disease, which one is more important?
#Evaluation Metrics
#Classification
Data Scientist
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Technical
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easy
How does the K-Means clustering algorithm work? How do you choose the optimal number of clusters?
#Clustering
#K-Means
#Unsupervised Learning
Data Scientist
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Technical
•
medium
What is the difference between Generative and Discriminative models? Give an example of each.
#Model Types
#Generative AI
#Statistics
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Senior EngineerFocuses on core competencies, system constraints, and clear communication.
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Always explain your thought process before writing code or drawing architecture.