Alexandra Keamy is a Lead Natural Language Processing Data Scientist at Leidos, a position held since August 2021, following a role as a Natural Language Processing Data Scientist. Prior experience includes serving as a Data Solutions Analyst at Quicken Loans, where Alexandra developed dashboards and weekly metric reports for stakeholders. At UC San Diego Health, Alexandra worked as a Research Assistant in Data Analytics, focusing on neurocognitive aging among diverse Latinos. Earlier roles include being a Resident Assistant and an Orientation Leader at UC San Diego, and a Laboratory Assistant at the UC San Diego Center for Neural Repair. Alexandra holds a Bachelor of Science in Data Science from UC San Diego and is pursuing a Master of Science in Analytics with a Data Science concentration at Georgia Institute of Technology.
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