Ana Stojanović
About Ana Stojanović
Ana Stojanović is a Junior Technician with international experience and a diverse educational background, currently studying at the Faculty of Electronic Engineering.
Professional Background
Ana Stojanović has a diverse range of professional experiences, notably including her role as a Junior Technician. She has also worked as a Game Developer at Inventous in South Bend, Indiana, United States, for 6 months in 2016. In the United Kingdom, Ana has held the position of Junior Technician at Endava, further expanding her professional repertoire. Her work history underscores her ability to adapt and perform across various roles and industries.
Educational Background
Ana Stojanović possesses a multifaceted educational background. She is currently a student at the Faculty of Electronic Engineering. Previously, she completed a Master’s degree over the course of a year from 2015 to 2016. Furthermore, Ana studied Management and earned a Bachelor's degree from 2011 to 2016. Her academic journey also includes a four-year study of Linguistics, which she undertook from 2007 to 2011. This varied educational foundation has equipped her with a broad skill set applicable to multiple disciplines.
International Work Experience
Ana Stojanović has accumulated significant international work experience. Her career includes positions in the United States and the United Kingdom. Notably, she worked as a Game Developer at Inventous in South Bend, Indiana, and as a Junior Technician at Endava in the UK. This international exposure has provided her with a global perspective and enhanced her ability to collaborate within diverse professional environments.
Microsoft Fabric Global AI Hackathon
Ana Stojanović participated in the Microsoft Fabric Global AI Hackathon, contributing to the PIInovators project, which won the Grand Prize. Alongside team members Elena Donev and Slave Tasev, Ana developed a cloud-native data solution that integrated Open AI for document analysis. The project involved classifying documents into compliant and non-compliant categories based on predefined types. The solution utilized a medallion architecture with data stored in three zones within the Microsoft Fabric Lakehouse and prepared data for analytical use in Power BI reports.