Ganit Inc Interview Questions and Answers

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 and regularization techniques.

• XgBoost is commonly used in...read more

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.

The impact of social media on society

• Social media has revolutionized communication and connectivity

• It has transformed the way people interact and share information

• Social media has both positive and negative effects on society

• Examples include the spread of fake news, cyberbullying, and online activism

• It has also facilitated business growth and marketing strategies

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

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

I will help Ganit grow by implementing strategic initiatives, fostering client relationships, and driving business development.

• Developing and executing growth strategies

• Building and maintaining strong client relationships

• Identifying new business opportunities

• Leading cross-functional teams to achieve growth targets

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-validation

• Achieved an accuracy of 85% and identified key factors ...read more

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 availability

• Used CloudWatch for monitoring and logging

• Imp...read more