Tea Banda

Tea Banda is a skilled Software Engineer and Data Scientist at raicoon, where responsibilities include developing a Fault Detection Engine for Photovoltaic plants and creating machine learning models for fault prediction. Prior experience includes a role as a Teaching Assistant for Database Systems at Queen Mary University of London, enhancing student project quality through constructive feedback. Tea has also worked as a Software Developer at Robert Bosch GmbH, improving the performance of embedded systems, and as a Summer Student at CERN, contributing to online tools for physics analysis. Additional background includes experience in affiliate marketing at Coinis, internships at International Bridge, Inc., and the American Chamber of Commerce in Montenegro, along with strong educational credentials, including a Master of Science in Computer Science from Queen Mary University of London and a Bachelor's degree in Information Systems and Technology.