Shegofa Qorbanzade

Master Thesis - Federated Learning With Unsupervised Data at Sensative

Shegofa Qorbanzade is currently completing a Master Thesis on federated learning with unsupervised data at Sensative, focusing on anomaly detection using sensor data. Prior experience includes a role as a Business and Technology Delivery Associate at Accenture, where responsibilities involved supporting project management activities. Shegofa has an extensive background at IKEA Group, serving in various positions from Sales Co-worker to Kitchen Planner and participating in a leadership program to enhance team leadership skills. Additionally, experience as a Teacher Assistant at The Faculty of Engineering at Lund University was gained, helping students with Java programming courses. Shegofa holds a Master of Science in Computer Science and Engineering from The Faculty of Engineering at Lund University and has a background in education from Bromma gymnasium.

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