Gillian Schriever

Currently my career focus is on applying data-driven responses to public health issues. My other interests include programming, chemistry, nutrition, finance, cryptocurrency, kiteboarding, and distance running.

For any inquiries please reach out via email. A link to my resume is below.

Email  /  Resume  /  GitHub  /  LinkedIn

I'm interested in applying advanced analytical methods and data management best practices to improve healthcare. Whether it's enhanced data sharing, personalized treatment, optimized resource allocation, or better policy, I enjoy working with data to drive better health outcomes.

Predictive modeling project combining historical market indicators with headline-level news sentiment to classify daily stock market direction.

Dockerized, Google Cloud-based financial education web app combining RAG, a fine-tuned LLM, and document parsing to provide personalized chat sessions and dashboards.

Unsupervised anomaly detection pipeline for 2k+ Ethereum ERC-20 tokens, using Isolation Forest, DBSCAN, and PCA-Mahalanobis to quantify suspicious token behavior and achieve 93% validated fraud recall.

Agentic system helping NGOs solve resource allocation, routing, and intervention problems, with a multi-stage dynamic pipeline for optimization method selection and advising.

Interactive D3 data story analyzing NIL policy impact on NCAA athlete transfer behavior, with Python data pipelines, interactive filters, and dynamically linked visuals.

Assisted in the development of the public-facing Health Equity Indicators for Cardiovascular Disease Toolkit as part of a CDC Research Pilot.

Report focused on monitoring the effective of COVID-19 response.

NCAA 2019 Woman of the Year Top 30 Finalist.

Fun day of kiting on Long Beach Island in New Jersey.