Technical Advisor Data Science
Current● Designed and implemented a machine learning platform that enabled data scientists to develop and deploy machine learning models five times faster.● Improved user experience by integrating the AWS cloud platform into the web application.● Led application development team in the development of a cloud-agnostic platform approach, optimizing for future scalability and flexibility.● Streamlined the MLOps ecosystem, defining business use cases, and addressing non-functional requirements for the Marketing Analytics team.● Designed solutions to improve the Machine Learning platform's metrics by automating cloud services integration to allow for seamless sharing, defining access controls, restructuring machine learning frameworks, and docker image definitions.● Reconstructed Machine Learning frameworks to fit seamlessly into the platform, enabling automated machine learning workflows.● Integral member of an agile team, actively assisted in defining, planning, and detailing epics, features, and user stories, resulting in an average of 15% increase in the number of stories completed per sprint, and an increase in team morale.● Authored Technical Approach Documents to guide project milestones and ensure alignment with set objectives.● Leveraged the organization's proprietary framework and platform services to define microservices, optimizing the use of available tools and shared services, resulting in a 10% reduction in cost and a 5% increase in efficiency.● Created design diagrams and detailed application architecture documentation, reinforcing clarity and technical precision, resulting in clear documentation for future data scientists to utilize.
