Computed and accessed aggregated features in Google Cloud Platform.

Added several important relevant features to the spam machine learning model; improved spam detection accuracy by approximately 1.5%.

Handled importing of data from Hadoop HBase and performed transformations using Hive.

Developed Java MapReduce program to support distributed data processing on a large dataset (36 million records).

Provided critical services to business units in Singapore and New York City, demonstrating adaptability and effective communication in a fast-paced crypto-focused environment.