Raghad Alkhawaldeh
About Raghad Alkhawaldeh
Raghad Alkhawaldeh is a Senior Analytics Engineer at Health Catalyst, with a strong academic background in engineering and data science. She holds a PhD in Industrial Engineering from Binghamton University and has extensive experience in statistical analysis and data mining across various healthcare organizations.
Work at Health Catalyst
Raghad Alkhawaldeh has been employed at Health Catalyst as a Senior Analytics Engineer since 2021. In this role, she focuses on utilizing data analytics to enhance healthcare outcomes. Her responsibilities include analyzing complex datasets and providing insights that support decision-making processes within the organization.
Education and Expertise
Raghad Alkhawaldeh earned her Master of Science in Industrial and Systems Engineering from Binghamton University, where she studied from 2014 to 2016. She further pursued her education at the same institution, obtaining a Doctor of Philosophy (PhD) in Industrial Engineering from 2018 to 2021. Her academic background provides her with a solid foundation in engineering principles, statistical analysis, and data science.
Professional Background
Raghad Alkhawaldeh has a diverse professional background. She began her career as an Engineering Trainee at Jordan Toyota in 2011 and later worked at the Royal Scientific Society in 2013. She served as a Graduate Research Associate at UHS Hospitals in 2015 and at Thomas J. Watson School of Engineering and Applied Science from 2014 to 2015. Additionally, she worked as a Corporate Data and BI Specialist at Aramex from 2016 to 2017 and as a Graduate Research Associate - Data Scientist at Christiana Care Health System from 2018 to 2021.
Achievements at Christiana Care Health Systems
During her tenure at Christiana Care Health Systems, Raghad Alkhawaldeh engaged in statistical analysis to drive organizational excellence. She contributed to continuous improvement projects by applying Lean Six Sigma methodologies. Additionally, she utilized data mining and machine learning techniques in her role as a Data Scientist, enhancing the organization's analytical capabilities.