Axis Bank Analytical Interview Questions and Answers

Q1. JavaScript basic ques
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Q2. Var vs const vs let
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Coding interview basic level nothing more required for this

Basic coding not more relevant in the whole process

Q1. Okish not that hard
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Q1. Basic algorithms and data structures question
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Q2. Basic question from projects
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Q1. What are your salary expectations for this position?
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Q1. Can you tell me about yourself?
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Q2. What can you tell me about your work experience?
Ans. 
I have over 5 years of experience in retail management, leading teams to achieve sales targets and providing excellent customer service.
• Over 5 years of experience in retail management

• Proven track record of leading teams to achieve sales targets

• Strong focus on providing excellent customer service
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Q1. About your family
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Q1. Working Experience
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Q2. Knowledge for financial services
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Q1. Working Experience
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Q2. How Handel customer & staff
Ans. 
Handle customers and staff with empathy, communication, and problem-solving skills.
• Listen actively to customers and staff to understand their needs and concerns.

• Communicate clearly and effectively to address any issues or questions.

• Provide support and guidance to both customers and staff in a professional and respectful manner.

• Resolve conflicts or challenges calmly and efficiently to maintain a positive work environmen...read more
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Q1. Introduction round
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Q2. About the banking
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Q3. Where do you located
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Q4. Salaried expectation
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Q5. And branch location
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Q1. What is confidence interval of an estimator?
Ans. 
Confidence interval of an estimator is a range of values that is likely to contain the true value of the parameter being estimated.
• Confidence interval provides a range of values within which we are confident the true parameter value lies.

• It is calculated based on the sample data and the desired level of confidence.

• For example, a 95% confidence interval for the mean weight of a population would be a range of values with...read more
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Q2. How logistic regression works for multiple class classification?
Ans. 
Logistic regression works by calculating the probability of each class and assigning the observation to the class with the highest probability.
• Logistic regression calculates the probability of each class using the logistic function.

• The model then assigns the observation to the class with the highest probability.

• It is commonly used for binary classification, but can be extended to multiple classes using techniques like
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Q3. How do you deal with missing values in a data?
Ans. 
I handle missing values by identifying them, deciding on a strategy (imputation or deletion), and documenting the process.
• Identify missing values by checking for null values or using descriptive statistics.

• Decide on a strategy for handling missing values such as imputation (mean, median, mode) or deletion (row or column).

• Document the process of handling missing values to ensure transparency and reproducibility.
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