Capgemini

Capgemini

Global leader in partnering with companies to transform and manage their business by harnessing the power of technology.

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

Data Scientist Technical easy

Explain the difference between Bagging and Boosting. Give an example of an algorithm for each.

#Ensemble Methods #Random Forest #XGBoost
Data Scientist Technical medium

How do you handle highly imbalanced datasets in a fraud detection project? What metrics would you use to evaluate your model?

#Imbalanced Data #SMOTE #Evaluation Metrics
Data Scientist Technical medium

How do you evaluate a clustering model when ground truth labels are not available?

#Unsupervised Learning #Clustering #Evaluation Metrics
Data Scientist Technical easy

What are the key differences between L1 (Lasso) and L2 (Ridge) regularization? When would you use one over the other?

#Regularization #Linear Models #Feature Selection
Data Scientist Technical medium

Why would you choose XGBoost over a Random Forest for a tabular dataset?

#XGBoost #Random Forest #Model Selection
Data Scientist Technical medium

Explain the ROC curve and AUC. When would you use Precision-Recall AUC instead of ROC-AUC?

#Evaluation Metrics #Classification
Data Scientist Technical medium

How does a Support Vector Machine (SVM) handle non-linear data?

#SVM #Kernel Trick #Math
Data Scientist Technical medium

What is target leakage in machine learning, and how do you prevent it during feature engineering?

#Data Leakage #Feature Engineering #Model Validation

Difficulty Radar

Based on recent AI-sourced data.

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The "Standard" Interviewer

Senior Engineer

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

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Think Out Loud

Always explain your thought process before writing code or drawing architecture.

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