I work on the NAB Discovery Cloud, an innovative data platform that empowers data scientists to explore datasets, build machine learning models, and develop APIs. In this role, I leverage Python to automate processes, optimize cloud infrastructure, and ensure the seamless deployment of machine learning models. I utilize Docker for efficient containerization and Jenkins for streamlined continuous integration and delivery (CI/CD) pipelines. Additionally, I employ Terraform and AWS to maintain scalable and secure cloud environments, establishing a robust ecosystem for data science and machine learning innovation.