AB InBev India Data Scientist Interview Questions and Answers for Experienced

Coding test link will sent and involves python and data science questions

Q1. Technical lead will ask questions in ML or data science depending the role you applied
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Their will case study question which you need to answer from technical manager.

Q1. Just normal HR discussion on salary
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Q1. Bio. SQL Basics. Python Basics. Projects done.
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Q1. Similar to Round 1 along coding basics and ML
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Decide which video clip will work at a campaign

Q1. What was your projrct about ?
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Q2. What approach did you use and why ?
Ans. 
I used a combination of supervised and unsupervised learning approaches to analyze the data.
• I used supervised learning to train models for classification and regression tasks.

• I used unsupervised learning to identify patterns and relationships in the data.

• I also used feature engineering to extract relevant features from the data.

• I chose this approach because it allowed me to gain insights from the data and make predicti
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Q3. Why was this model/ approach used instead of others ?
Ans. 
The model/approach was chosen based on its accuracy, interpretability, and scalability.
• The chosen model/approach had the highest accuracy compared to others.

• The chosen model/approach was more interpretable and easier to explain to stakeholders.

• The chosen model/approach was more scalable and could handle larger datasets.

• Other models/approaches were considered but did not meet the requirements or had limitations.

• The chos...read more
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Q4. How did you prevent your model from overfitting ? What did you do when it was underfit ?
Ans. 
To prevent overfitting, I used techniques like regularization, cross-validation, and early stopping. For underfitting, I tried increasing model complexity and adding more features.
• Used regularization techniques like L1 and L2 regularization to penalize large weights

• Used cross-validation to evaluate model performance on different subsets of data

• Used early stopping to prevent the model from continuing to train when perfo...read more
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If you were to design a tool that splits the budget across brands and vehicles, how would you go about this.
Apart from this, i was asked about why i was joining this company.

Q1. What are your career aspirations ?
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Q2. Couple of more case studies
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Q1. 1. Questions from time series forecasting. 2. How to forecast demand if we have no data like for the period of Covid pandemic. 3. Questions from NLP.
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Q1. Scenario based question with technical challenges.
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Q1. Questions from statistics
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Q1. It was mostly salary negotiation.
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