AB InBev India Data Science Manager Interview Questions and Answers

Q1. Why you are leaving last org and why your are joining us
View 1 more answer

Q1. How to calculate the scheme
Ans. 
Calculating a scheme involves determining the parameters and formulas used to allocate benefits or rewards.
• Identify the key parameters of the scheme, such as performance metrics, eligibility criteria, and reward structure.

• Determine the formula or method used to calculate the benefits or rewards based on the parameters.

• Consider any variables or factors that may impact the calculation, such as bonuses, penalties, or adju...read more
Answered by AI
Add your answer
Q2. How to handle the team
Add your answer

Q1. All questions regarding previous organisation.
Add your answer
Q2. What are the ways to launch a product in the market.
Ans. 
Product launch can be done through various strategies like social media campaigns, influencer partnerships, and traditional advertising.
• Utilize social media platforms to create buzz and engage with potential customers

• Collaborate with influencers to reach a wider audience and gain credibility

• Implement traditional advertising methods such as TV commercials, print ads, and billboards

• Organize launch events or promotions to...read more
Answered by AI
Add your answer

Q1. Depends on your current skills & learnings
Add your answer
Q2. How to face the top management aggressively, so all these are depends on your confidence and ability.
Add your answer

Q1. Self confidence only
Add your answer

Q1. Plant Maintenance related
Add your answer

Q1. Plant Manager tech interview
Add your answer

Q1. Reginal Technical manager interview
Add your answer

Q1. Salary negotiation
Add your answer

Gm to vp interview process

As per experience and previous background

Fully covered in Logistics

Q1. Woking principle and cost analysis
Add your answer

Q1. Working and costing , good achivement
Add your answer

Q1. What is autocorrelation?
Ans. 
Autocorrelation is a statistical concept that measures the relationship between a variable's current value and its past values.
• Autocorrelation is the correlation of a signal with a delayed copy of itself.

• It is used to detect patterns or trends in time series data.

• Positive autocorrelation indicates a positive relationship between current and past values, while negative autocorrelation indicates a negative relationship.

• F...read more
Answered by AI
Add your answer
Q2. Linear Regression Assumptions
Ans. 
Linear regression assumptions include linearity, independence, homoscedasticity, and normality.
• Assumption of linearity: The relationship between the independent and dependent variables is linear.

• Assumption of independence: The residuals are independent of each other.

• Assumption of homoscedasticity: The variance of the residuals is constant across all levels of the independent variables.

• Assumption of normality: The resid...read more
Answered by AI
Add your answer
Q3. P value in simple terms
Ans. 
P value is a measure used in hypothesis testing to determine the significance of the results.
• P value is the probability of obtaining results at least as extreme as the observed results, assuming the null hypothesis is true.

• A small P value (typically ≤ 0.05) indicates strong evidence against the null hypothesis, leading to its rejection.

• A large P value (> 0.05) suggests weak evidence against the null hypothesis, lead...read more
Answered by AI
Add your answer
Q4. Bagging and Boosting algorithms
Add your answer
Q5. Multicollinearity
Add your answer

Q1. What are the methods for evaluating machine learning models?
Ans. 
Methods for evaluating machine learning models include accuracy, precision, recall, F1 score, ROC curve, and confusion matrix.
• Accuracy: measures the proportion of correct predictions out of the total predictions made by the model.

• Precision: measures the proportion of true positive predictions out of all positive predictions made by the model.

• Recall: measures the proportion of true positive predictions out of all actual...read more
Answered by AI
Add your answer
Q2. What is the definition of standard deviation?
Ans. 
Standard deviation is a measure of the amount of variation or dispersion of a set of values.
• Standard deviation is calculated as the square root of the variance.

• It indicates how spread out the values in a data set are around the mean.

• A low standard deviation means the values are close to the mean, while a high standard deviation means the values are more spread out.

• For example, in a data set of test scores, a high stand...read more
Answered by AI
Add your answer