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I applied via Company Website and was interviewed before Feb 2023. There was 1 interview round.
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posted on 23 Sep 2024
I applied via Approached by Company and was interviewed in Aug 2024. There was 1 interview round.
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...
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)
I applied via campus placement at Chennai Mathematical Institute, Chennai and was interviewed in Sep 2024. There was 1 interview round.
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...
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.
Two-hour test covering aptitude, reasoning, general knowledge, general studies, banking, etc.
The topic related to cybersecurity with ten members on the panel.
posted on 18 Jun 2023
I applied via Referral and was interviewed in Dec 2023. There were 2 interview rounds.
posted on 20 Nov 2023
posted on 5 Jun 2024
posted on 1 Mar 2024
I applied via Naukri.com and was interviewed in Feb 2024. There was 1 interview round.
posted on 30 May 2023
New customers will be onboarded through a personalized welcome email, followed by a phone call to ensure their satisfaction.
Send a personalized welcome email with information about the company and its products/services.
Follow up with a phone call to answer any questions and ensure customer satisfaction.
Provide resources such as user guides or tutorials to help customers get started.
Offer promotions or discounts to ince...
Very Simple aptitude test, Just basic quants,English and reasoning
Topic was weather technology is increasing job opportunities or decreasing job opportunities
To improve CASA of a bank, focus on customer engagement and offer attractive interest rates.
Offer higher interest rates on savings accounts to attract more customers
Provide personalized services to customers to increase engagement and loyalty
Introduce referral programs to encourage existing customers to bring in new customers
Launch promotional campaigns to create awareness about the benefits of CASA
Streamline the accou...
I plan to be with this bank for the long term, at least 5-10 years.
Express commitment to long-term employment
Mention specific number of years, such as 5-10 years
Highlight reasons for wanting to stay with the bank, such as career growth opportunities or alignment with company values
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