U.S. Pharmacopeial Convention
Wejdan Bagais is a Senior Machine Learning Engineer at US Pharmacopeia since December 2021, leading data engineering in the Supply Chain Analytics team and collaborating on predictive modeling for drug shortages while utilizing AWS infrastructure for data pipelines. Prior experience includes serving as an Adjunct Faculty at George Mason University, teaching Health Informatics, and as a Sales Analyst at Avon, where prediction accuracy was enhanced through innovative analysis methods. Early career roles include training at Smart Technology Solutions and technical assistance at King AbdulAziz University. Wejdan holds a Master of Science in Health Informatics and is pursuing an MBA, alongside multiple nanodegrees in data-related fields from Udacity, with a foundational Bachelor's degree in Information Technology from King AbdulAziz University.
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