Filter interviews by
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 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 ...
Top trending discussions
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 applied via Approached by Company and was interviewed in Oct 2024. There were 3 interview rounds.
I was interviewed in Dec 2024.
I applied via Naukri.com and was interviewed in Mar 2024. There were 3 interview rounds.
Aptitude, coding on python NLP
Python Data Frames, String list manipulation
I applied via Campus Placement
Test+2 interviews(technical and statistics)
Basic guestimates and case studies
based on 22 reviews
Rating in categories
Analytics Consultant
172
salaries
| ₹6 L/yr - ₹14.8 L/yr |
Business Analyst
103
salaries
| ₹4.6 L/yr - ₹9 L/yr |
Senior Analytics Consultant
96
salaries
| ₹9.2 L/yr - ₹19.5 L/yr |
Project Manager
43
salaries
| ₹15 L/yr - ₹27 L/yr |
Data Analyst
41
salaries
| ₹3 L/yr - ₹10.4 L/yr |
Fractal Analytics
Mu Sigma
Tiger Analytics
LatentView Analytics