Analysis of machine learning and computer vision algorithms in processing of UAVSAR flight data to determine burn perimeter and wildfire movement in collaboration with NASA Interagency Implementation and Advanced Concepts Team (IMPACT)

Indoor Mobility Mapping Application: NSF-funded project under Dr. Muztaba Fuad in the Center for Applied Data Science at Winston Salem State University, tested at the Community Care Center in collaboration with the Department of Physical Therapy. My work in this project earned me fourth place in the 2023 Scholarship Day Poster competition (WSSU).

Data Engineer Intern - Nationwide Financial

Worked in an Agile team to assess customer experience and analytics on CSG's Xponent (Kitewheel) and Domo customer engagement platform.

A six-month, coding boot camp, focused on full-stack web and application development. Built foundational skills in all aspects of development in the latest tools and programming languages. Planned, built, tested, and deployed applications from start to finish. Focused on test-driven front-end development, with HTML, CSS and JavaScript. Executed back-end development in C# on the .NET Framework with an AngularJS client side.

Supervised students daily in their coursework and ensured that studios and classrooms were in updated and in working order. Guided students on projects in Pro Tools, Ableton Live, Logic Pro, Garageband, Reason, NI Massive, AutoTune EVO and Wavelab. Created curricula for consoles including Mackie1604, Presonus StudioLive 24:4, AMR 24, Neve 88r and SSL 9000J.