Data Scientist with a strong healthcare background and eight years of experience as a frontline nurse championing data-driven solutions. As a Quality Improvement Analyst at SSM SLUH, I significantly improved hospital KPIs, reducing CVC infection rates by 9% and enhancing medication safety by 20%. In 2023, I further honed my data science skills through the BrainStation Data Science Bootcamp, where I forecasted COVID-19 cases, detected WNV hotspots, and trained a chatbot for Google in a hackathon.In my data science career, I have conducted a disparity analysis of cannabis ownership at Nerevu Group, leveraging machine learning to save hundreds of research hours. At Baby Steps IVF, I have been rigorously investigating over 25 years of healthcare data to identify the top 10 best clinics in the country. I am excited to collaborate with teams that share my passion for using data to drive positive change.