Machine Learning Engineer and Data Scientist at Optum.Led a team of Data Scientists to deliver high-impact models and applications to internal businesses and external clients.Responsibilities included platform development for deployment of ML/AI models to Microsoft Azure Public Cloud, on-premise deployments for protected data, and execution of data science projects.Led design and implementation of model monitoring and recovery at scale for critical business applications.

Fall 2015 - Algorithms: Graded homework assignments for 46 students Held weekly office hours to help students understand course material Course topics included sorting, searching, pattern matching, and manipulation of graphs and trees Course emphasized the mathematical analysis of the time and memory requirements of algorithms and techniques for improving their performanceSpring 2016 - Introduction to Programming and Web Applications: Grade homework assignments for 27 students Hold weekly office hours to help students understand course material Course topics include web page creation with HTML, server-side scripting with PHP, and database access Course uses HTML5, CSS, JavaScript, jQuery, PHP, MySQL, XML, and WordPress

Created and improved sites on a SharePoint 2007 intranet to optimize capability and ease-of-useExtensive use of workflows to automate document tagging and collaborationWorked with content owners to prepare sites for migration to SharePoint Online

Created an interactive site in SharePoint 2007 using a complex structure of lists, document libraries, and custom data typesDesigned and implemented a solution for storing and updating organizational charts efficiently in SharePointAudited existing sites on the company intranet, checking for relevance, accuracy, and functionality