Axis Bank Operations Interview Questions and Answers

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

Bagging and boosting are ensemble learning techniques used in machine learning to improve the performance of models by combining multiple weak learners.

• Bagging (Bootstrap Aggregating) involves training multiple models independently on different subsets of the training data and then combining their predictions through averaging or voting.

• Boosting involves training multiple models sequentially, where each subsequent mode...read more

Python code to find the employee with second largest income in a list of employees

• Sort the list of employees by income in descending order

• Return the employee at index 1 in the sorted list

The candidate needs to identify unique characters in a given substring and calculate their length.

• Iterate through the substring and store each character in a set to keep track of unique characters

• Calculate the length of the set to determine the number of unique characters

• Return the set of unique characters and their length as an array of strings

In Python, mutable objects can be changed after creation, while immutable objects cannot be changed.

• Mutable objects: lists, dictionaries, sets

• Immutable objects: strings, tuples, numbers

• Example: x = [1, 2, 3] (mutable), y = 'hello' (immutable)

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

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

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.