• Used AWS services S3, Glue, Athena, Lambda, EC2, and Quick-sight to perform ETL, ingestion automation and exploratory analytics on large sets of data (>600GB) for Department of Defense. • Sentiment analysis and text classification on twitter tweets as a side project.• Used AWS services S3, Lambda, Elastic Beanstalk to work with facial recognition services. Collaborated with other design and full stack developers in designing a website keeping track of faces through a live stream… Show more • Used AWS services S3, Glue, Athena, Lambda, EC2, and Quick-sight to perform ETL, ingestion automation and exploratory analytics on large sets of data (>600GB) for Department of Defense. • Sentiment analysis and text classification on twitter tweets as a side project.• Used AWS services S3, Lambda, Elastic Beanstalk to work with facial recognition services. Collaborated with other design and full stack developers in designing a website keeping track of faces through a live stream service (AWS Deep-lens)• Worked with the Rapid Design Prototyping team, Fjord Discovery Lab and Service Design team to create analytics capability for an agency of the DoD. This was brought to fruition by conglomerating over 50 data warehouses into a data lake.• Worked with Machine Learning algorithms such as SVM, Log regression, random foresting (from sklearn) to participate in CTO challenges and Kaggle competitions. Show less

Enforced pool safety rules, managed the pool’s chemical safety levels