Azam Peyvandipour

Azam Peyvandipour is a seasoned data scientist with experience at Ford Motor Company and Henry Ford Health, where expertise in developing and deploying machine learning models in Azure ML has been honed, utilizing programming skills in Python and SQL for data processing. Prior roles include a postdoctoral fellowship at the Perinatology Research Branch, where contributions to drug monitoring and patient insights were made, along with serving as a data science fellow at Insight Data Science. A solid academic background includes a PhD in Computer Science from Wayne State University and significant instructional roles in computer science at multiple institutions, complemented by research experience in natural language processing and machine learning techniques at Wayne State University and Iran University of Science and Technology.