While at AIMS, Celeste undertook a thesis project focused on developing a healthcare fraud detection system. Using
Natural Language Processing techniques, I extracted relevant features from healthcare text records and subsequently utilized Isolation Forest and Support Vector machines to identify fraudulent records.

Following her graduation from AIMS, she gained practical experience as a BI Analyst in a fintech company.

Currently, Celeste works as a research intern in Senegal, where she applies Artificial Intelligence technologies to enhance agricultural practices