Data & Analytics

As part of the AI & Data Analytics division at PNNL, I led the end-to-end development of several new features for a React-based web application delivering AI/ML driven insights for federal government agencies. I designed and implemented client-facing data visualization tools to model trends in 5+ million open-source scientific documents using NLP-based analytics such as BERTopic and ReFinEd entity linking. In addition, I developed a serverless user profiles feature using AWS CDK to provide personalized content aggregation (search history, viewing behavior) and authored a 100+ page user guide for technical and non-technical project sponsors.

I participated in the Department of Homeland Security (DHS) WIRED national security program at PNNL. I developed scientific web interfaces to support cloud-deployed analytics pipelines as part of the Foundational Data Science group, part of PNNL's National Security Directorate. This was primarily in the natural language processing domain, including dynamic topic modeling using Latent Dirichlet Allocation (LDA). Additionally, I authored a technical abstract and project report detailing my contributions, and presented at PNNL's Research Symposium.

Aided students in completing scholarship, financial aid, and college applications.

Supported students with high school curriculum and AP coursework, and provided career-focused lessons.