The project uses machine learning (K-Means, Bayesian, Logistic Regression, DNN) to predict churn and analyze insights in the Consumer Packaged Goods industry.

Rajesh deployed big data solutions on AWS and Azure, leveraging Snowflake for analytics that accelerated customer insights generation.

Rajesh successfully optimized ETL pipelines to handle real-time data streaming, resulting in a 40% increase in processing speed and enhanced data reliability.