Andrea Rekovska

Specialized in computer vision models for high-accuracy product detection in retail and e-commerce. Conducted evaluations and error analyses to reduce false positives/negatives and enhance system reliability.

Participated in creating document templates for the ZKB project, developing and maintaining templates on support. Collaborated with cross-functional teams and analyzed client feedback to improve documentation quality.

Designed responsive Webflow websites and implemented UI/UX for the Autoscan mobile app using Flutter. Integrated third-party APIs and performed testing and debugging to ensure high performance.

Managed clinical data in Veeva Vault to streamline workflows and enhance team collaboration. Delivered accurate, timely data reports to drive data-driven decision-making.

Completed a full stack development and SnapLogic integration program at the Academy of IW Connect in Bitola.

Studied computer science and engineering at the Faculty of Computer Science and Engineering in Skopje.

Completed high school education at the High School of Economics in Bitola.