Claire Matthews

Claire Matthews has a diverse work experience with roles in different industries. Claire started their career at Epic, a healthcare software company, where they worked as an Electronic Data Interchange Consultant and Engineer. In these roles, they led cross-functional teams through data conversion projects, implemented electronic medical record systems, and provided long-term support for client interfaces. Claire also completed development projects for client requested change orders. At SolarWinds, an IT infrastructure management software company, Claire worked as a Senior Support Operations Manager. Claire managed concurrent projects, performed data analyses for process improvements, and led a team through a website platform migration. During their MBA program, they interned at Nike as an Insights Delivery & Data Products Intern, supporting the Global Sourcing & Manufacturing team. Claire developed automation scripts, created data visualizations, and won an Analytics Intern Hackathon by designing a distribution solution that reduced costs and carbon impact. Most recently, Claire worked at YETI as a Data Scientist and Senior eCommerce Analytics & Modeling Analyst.

Claire Matthews has a diverse educational background in the fields of data science, data analytics and operations management, and biomedical/medical engineering. Claire began their education in 2009 at the Georgia Institute of Technology, where they pursued a Bachelor of Science (BS) degree in Biomedical/Medical Engineering and completed their studies in 2013. In 2011, they briefly attended the University of Oxford for a Bachelor's degree in the same field.

Claire continued their education at the MIT Sloan School of Management from 2019 to 2021, where they earned a Master of Business Administration (MBA) degree with a focus on Data Analytics and Operations Management. In 2017, they obtained a certification in Project Management (PMP) from the Project Management Institute.

Currently, Claire is pursuing a Master's degree in Data Science at The University of Texas at Austin, starting in 2022 and expected to finish in 2024. This program further enhances their knowledge and skills in the field of data science.

Overall, Claire's educational background showcases their interest and expertise in the intersection of data science, analytics, and biomedical/medical engineering.