Worked with the Wistar Institute in developing OMIC data LLM to detect biomarkers for drug treatment of cancer cells

Programmed data visualization tool front end in React and back end with Python FastAPI with full AWS cloud integration

Connected with lead biologists to develop and reiterate on product features and gain access to 500,000+ training samples

Interviewed and built core team of ML and Full Stack engineers, Business Analysts, and Biologists

Minor in Spanish through the Language for Business and Technology Program

Zell Miller Full-Tuition Scholarship Recipient

Developed best path algorithms to optimize resource allocation and document approval to mitigate project roadblocks

Trained multivariate nonlinear regression model to predict source-to-contract timeline for GEP consultants

Extracted pertinent information from massive Excel and CSV files to create test and train data using Python ML libraries

Visualized test results and created dynamic reports in PowerBI that identified 200+ bugs and redundant test scripts

Debugged and repaired code errors indicated in test results, including fixing broken react components and SQL queries

Automated end-to-end tests in Postman to streamline API testing, visualized response data with Postman Visualizer