Axis Bank Data Science Intern Interview Questions and Answers

Find second max in list, cal moving avg of a df

Q1. Explain about how recommendation engine work
Ans. 
Recommendation engines analyze user data to suggest items based on preferences and behavior.
• Recommendation engines use collaborative filtering to suggest items based on user behavior and preferences.

• They can also use content-based filtering to recommend items similar to ones the user has liked in the past.

• Some recommendation engines combine both collaborative and content-based filtering for more accurate suggestions.

• Ex...read more
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It was okay as the interview was scheduled on time.

Q1. They asked questions in the interview Including Python, Machine learning, SQL, Power BI
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If else conditions, data merging, datetime conversions, EDA on a sample data set, duplicates removal and missing value imputation

Q1. If you have to sell a kids account, how will you Target the customer. What features will you build?
Ans. 
To target customers for a kids account, focus on features like parental controls, educational content, and interactive games.
• Implement parental controls to assure parents of child safety online.

• Include educational content to attract parents looking for learning opportunities.

• Incorporate interactive games to engage children and make the account more appealing.

• Offer rewards or incentives for completing educational activi...read more
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The first technical round will cover how computer vision works, including the advantages and disadvantages of regression and random forest. It will also include discussions on when to use precision and recall, methods to reduce false positives, and criteria for selecting different models. Additionally, disadvantages of PCA will be addressed, along with project-related questions. The second round will focus on standard aptitude tests, while the third round will involve a casual conversation with the Executive Vice President.

Normal aptitude questions

Coding related objective questions

Q1. Basic questions based on cv. Questions based on python,SQL,ML algorithms
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Q1. What is Hypothesis testing and its corresponding example and stuff
Ans. 
Hypothesis testing is a statistical method used to make inferences about a population based on sample data.
• Hypothesis testing involves formulating a null hypothesis and an alternative hypothesis.

• It helps determine if there is enough evidence to reject the null hypothesis in favor of the alternative hypothesis.

• Example: Testing whether a new drug is effective by comparing the recovery rates of a treatment group and a con...read more
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Q2. Rest questions were based on the resume
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