AB InBev India Interview Questions, Process, and Tips

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. Discussed about salary
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Two coding questions on basic Dynamic programming. Difficulty : Easy to Medium Easy

Case Stydy type questions :
How do you place beer in the shelves ( also beer comes in cans, 6 packs, q2 packs, bottles , large bottles ) , given shelves can accomodate only a finite volume and you have the paat sales details for all brand and types of beer and the profits.( My approach : Analogous to integer knapsack )

You have a new beer brand with no previous sales data. Do you put it in the shelves ? If so, how much , and how do you determine if the beer will sell good in the near future after , say, 2 months of you keeping it in the shelves. You have to take into account that many people will be biased against a new brand because the brand isnt establiahed.

Q1. Explain your thesis ANN and topics related to it, derieve backpropagation If I am comfortable in woeking in technologies I do not compeleteàly understand.
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Q1. How I feel about moving far to Bangalore Have I looked in the company reviews ( I did) and what is one bad review about the company ( said work life balance) ( They asked me why I was so nervous and said ...read more
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