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Ganit Inc
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In the test there was aptitude
I applied via Approached by Company and was interviewed before Oct 2023. There were 3 interview rounds.
Tableau dashboard was asked to be made in a one-on-one session
I applied via Campus Placement and was interviewed in Oct 2022. There were 3 interview rounds.
Apti questions leval medium it was easy to go for round 2
Ganit Inc interview questions for popular designations
I applied via Approached by Company and was interviewed in Jun 2022. There were 3 interview rounds.
Easy to medium level questions.
Developed a predictive model to identify potential customer churn for a telecom company
Performed exploratory data analysis to identify key features affecting customer churn
Preprocessed data by handling missing values and encoding categorical variables
Built and compared various machine learning models including logistic regression, decision tree, and random forest
Tuned hyperparameters using grid search and cross-validat...
I have experience in deploying and managing applications on AWS cloud platform.
Deployed and managed a web application on AWS Elastic Beanstalk
Used AWS Lambda for serverless computing
Configured and managed EC2 instances for various projects
Used S3 for storing and retrieving data
Set up and managed RDS instances for databases
Used CloudFormation for infrastructure as code
Implemented auto-scaling and load balancing for high...
I applied via Campus Placement and was interviewed before Jun 2023. There was 1 interview round.
Aptitude test was esay.i passed that
We have upload a vedio based on given topic
I applied via Company Website and was interviewed before May 2023. There were 3 interview rounds.
One day coding test on Python or R to do some data analysis tasks
Normal Aptitude test
I applied via Recruitment Consultant and was interviewed in Jul 2021. There were 3 interview rounds.
Developed a machine learning model to predict customer churn for a telecom company.
Used logistic regression and decision tree algorithms for classification.
Performed feature engineering to extract relevant features from customer data.
Achieved an accuracy of 85% on the test set.
Provided actionable insights to the company to reduce customer churn.
Different performance metrics are used to measure the effectiveness of a model or system.
Accuracy
Precision
Recall
F1 Score
ROC Curve
AUC
Mean Squared Error
Root Mean Squared Error
R-squared
Bagging and boosting are ensemble learning techniques. XgBoost is a gradient boosting algorithm.
Bagging involves training multiple models on different subsets of the data and combining their predictions.
Boosting involves training models sequentially, with each model trying to correct the errors of the previous model.
XgBoost is an optimized implementation of gradient boosting that uses a combination of tree-based models...
I was interviewed in Mar 2021.
My current project involves analyzing customer behavior on our e-commerce platform.
Collecting and cleaning data from various sources
Creating visualizations to identify patterns and trends
Using statistical models to make predictions and recommendations
Collaborating with cross-functional teams to implement changes
Tracking and measuring the impact of changes on customer behavior
Top trending discussions
The duration of Ganit Inc interview process can vary, but typically it takes about 2-4 weeks to complete.
based on 17 interviews
Interview experience
based on 166 reviews
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