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I applied via Naukri.com and was interviewed in Sep 2021. There were 3 interview rounds.
Questions related to cloud types, ADF activities, advanced SQL, and basic OOPs concepts.
Types of cloud include public, private, and hybrid
ADF activities include data ingestion, transformation, and loading
Advanced SQL includes window functions, subqueries, and joins
Basic OOPs concepts include encapsulation, inheritance, and polymorphism
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 in May 2021. There were 3 interview rounds.
Append and Merge are two methods used to combine data from multiple sources into a single dataset.
Append adds new rows to an existing dataset.
Merge combines two or more datasets based on a common column or key.
Append is useful when adding new data to an existing dataset, while Merge is useful for combining datasets with related information.
Example: Appending new sales data to an existing sales dataset.
Example: Merging ...
I applied via Campus Placement and was interviewed in Jun 2021. There were 4 interview rounds.
Bridgei2i Analytics Solutions interview questions for popular designations
I applied via Referral and was interviewed before Dec 2020. There were 3 interview rounds.
I applied via campus placement at Anna University 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 ...
I applied via Naukri.com and was interviewed before Jun 2020. There were 4 interview rounds.
I was interviewed in Aug 2016.
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posted on 31 Jan 2025
I was interviewed in Dec 2024.
Platform: Coderbyte Test. The process is similar to the technical round, except that in the last bash script question, instead of printing the last character, print the third last character of each line.
I was interviewed in Jan 2025.
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