ÂÜÀòÂÒÂ×

Shayan Yazdani is a data scientist and application developer at MUUTAA, specializing in machine learning forecasting models for healthcare applications since February 2022. Prior experience includes a research assistant role at The University of Lethbridge, where Shayan investigated categories of rat vocalizations using machine learning, and a data analyst position at Khazar Steel Co., where significant contributions involved developing predictive models and analyzing energy pricing. Earlier work as a research assistant at Sahand University of Technology included creating a novel algorithm for signal separation in EMG and ECG data. Shayan holds a master’s degree in Neuroscience from The University of Lethbridge and another master’s degree in Electrical and Communications Engineering from Sahand University of Technology, along with a bachelor’s degree in Electrical and Electronics Engineering from Guilan University.