Tech Mahindra

Multinational IT services and consulting company.

4 Rounds ~21 Days Medium

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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

All Roles Data Scientist 10 Machine Learning Engineer 8

All Topics Machine Learning 10 SQL 4 System Design 3 Statistics 2 Deep Learning 2 NLP 2 MLOps 2 Algorithms 2

Data Scientist • Technical • medium

In a telecom churn prediction project, the dataset is highly imbalanced (95% non-churn, 5% churn). How do you handle this?

#Imbalanced Data #SMOTE #Class Weights #Evaluation Metrics

Practice

Data Scientist • Technical • medium

Explain the difference between Random Forest and Gradient Boosting. When would you choose one over the other?

#Ensemble Learning #Bagging #Boosting #Bias-Variance Tradeoff

Practice

Data Scientist • Technical • medium

What is the Curse of Dimensionality, and what techniques do you use to mitigate it?

#Dimensionality Reduction #PCA #Feature Selection

Practice

Data Scientist • Technical • easy

How does L1 (Lasso) regularization differ from L2 (Ridge) regularization?

#Regularization #Lasso #Ridge #Overfitting

Practice

Data Scientist • Technical • medium

What evaluation metrics would you use for a highly skewed fraud detection dataset, and why?

#Evaluation Metrics #Fraud Detection #Precision-Recall

Practice

Data Scientist • Technical • medium

Explain the working of the K-Means clustering algorithm. How do you choose the optimal 'K'?

#Clustering #K-Means #Elbow Method #Silhouette Score

Practice

Data Scientist • Technical • medium

What is Data Leakage in machine learning, and how can you prevent it during cross-validation?

#Data Leakage #Cross-Validation #Pipelines

Practice

Data Scientist • Technical • hard

Explain the mathematical intuition behind Support Vector Machines (SVM) and the kernel trick.

#SVM #Math #Kernel Trick

Practice

Data Scientist • Technical • medium

What is SMOTE, and how does it work under the hood?

#SMOTE #Imbalanced Data #Algorithms

Practice

Data Scientist • Technical • medium

Explain ROC AUC. Can a model have a high accuracy but a low AUC? Give an example.

#ROC AUC #Evaluation Metrics #Imbalanced Data

Practice

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Senior Engineer

Focuses on core competencies, system constraints, and clear communication.

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Think Out Loud

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