C5i Associate Manager Interview Questions and Answers

Quant,Logical Reasoning and Data interpretation

Q1. Tell me something about your academic background?
Ans. 
I have a Bachelor's degree in Business Administration with a focus on marketing.
• Bachelor's degree in Business Administration

• Focus on marketing

• Completed coursework in market research and consumer behavior
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Q2. There were two to three Guestimates
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Q1. How to evaluate ML models ? Difference between Bagging and Boosting ? What is F1 score and how change weights of Precision or recall while calculating F1 score ? What does it mean to have F1 score value 1 ...read more
Ans. 
ML models can be evaluated using metrics like accuracy, precision, recall, F1 score. Bagging combines multiple models, while boosting focuses on correcting errors. F1 score balances precision and recall.
• ML models can be evaluated using metrics like accuracy, precision, recall, and F1 score.

• Bagging is an ensemble technique where multiple models are trained independently and then combined by averaging or voting.

• Boosting ...read more
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Q1. What is proba method ? How is class probability calculated in decision trees ? How's a machine learning model evaluated ?
Ans. 
Proba method is used to calculate class probability in decision trees. Machine learning models are evaluated using metrics like accuracy, precision, recall, and F1 score.
• Proba method calculates the probability of a class label in decision trees by counting the occurrences of each class in a leaf node and dividing by the total number of samples in that node.

• Class probability in decision trees is calculated based on the ...read more
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Q1. How you delegate work to your peers
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Q2. Anything about the project you did
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It was an ai based question. Very easy but you have to document everything properly.

Q1. Complete technical round covering nlp, computer vison and related engineering aspects
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Q1. This was technical managerial round. Completely cv based and some use cases.
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