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Easy with 40-50 questions
Easy was for 30 minutes. Team vs Individual
posted on 12 Dec 2021
I applied via Campus Placement and was interviewed before Dec 2020. There were 4 interview rounds.
I have experience in developing AI models for predictive analytics and natural language processing.
Developed predictive models for customer churn and sales forecasting using machine learning algorithms
Built chatbots using natural language processing techniques to improve customer service
Implemented computer vision models for image recognition in retail industry
Used deep learning models for sentiment analysis of social ...
posted on 29 May 2021
I applied via Referral and was interviewed in Apr 2021. There were 4 interview rounds.
Random Forest and XGBoost are both ensemble learning algorithms used for classification and regression tasks.
Random Forest is a bagging algorithm that builds multiple decision trees and combines their outputs to make a final prediction.
XGBoost is a boosting algorithm that builds decision trees sequentially, with each tree correcting the errors of the previous one.
Random Forest is less prone to overfitting and can handl...
Random Forest is an ensemble of Decision Trees that improves accuracy and reduces overfitting.
Decision Trees are simple and easy to interpret, but prone to overfitting.
Random Forest combines multiple Decision Trees to reduce overfitting and improve accuracy.
Random Forest can handle missing values and outliers better than Decision Trees.
Decision Trees are faster to train and predict than Random Forest.
Random Forest is s...
I applied via Referral and was interviewed before Jan 2021. There were 3 interview rounds.
Estimate the number of bridal dresses sold in a year in x country.
Research the population of x country and the average age of marriage
Find out the percentage of marriages that take place in x country
Determine the average cost of a bridal dress and the percentage of brides who buy a dress
Use industry reports and sales data from bridal dress retailers in x country
Consider seasonal trends and cultural traditions that may
I applied via Naukri.com and was interviewed in Jun 2024. There was 1 interview round.
SQL and python questions on hackerrank
I applied via Naukri.com and was interviewed before Jul 2023. There was 1 interview round.
Sql and python coding question in hackerrank
I applied via LinkedIn and was interviewed in Jul 2024. There were 4 interview rounds.
It was with the client. Tested if I am will be good for the role
I am open to discussing salary based on the market rate and my experience. I can join within a month.
Discussing salary based on market rate and experience
Open to negotiation
Available to join within a month
I did not take the GRE exam.
I did not apply for a program that required GRE scores.
My focus was on gaining practical experience through internships and projects.
I have excelled in my academic and professional pursuits without a GRE score.
CAT was challenging but I managed to do well.
CAT was a difficult exam but I prepared well for it.
I had to manage my time effectively during the exam.
I am confident that I did well in the exam.
The exam tested my analytical and problem-solving skills.
Overall, I am satisfied with my performance in CAT.
I am committed to gaining practical experience and contributing to the growth of the company.
I believe that practical experience is just as valuable as academic knowledge
I am excited about the opportunity to contribute to the growth of the company
I am committed to continuously learning and improving my skills through on-the-job training and professional development programs
Senior Analyst
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Data Analyst
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Analyst
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Assistant Manager
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Data Engineer
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