I’m a biologist-turned-data visualization analyst interested in turning complex data into clear, decision-ready insights. My background spans applied research, regulatory support, and analytics leadership in federal environmental science, with a current focus on advanced analytics and visualization in industry.

I specialize in building automated, reproducible reporting workflows and high-impact visualizations using R, Python, Quarto, Tableau, and cloud-based data platforms. My work often involves designing analytical frameworks, writing complex SQL queries, defining performance metrics, and translating messy, real-world data into tools that stakeholders can actually use.

Previously, I supported environmental regulators, policymakers, and industry partners by developing data products that improved program transparency, streamlined decision-making, and reduced friction in regulatory processes. Today, I bring that same domain understanding together with modern analytics practices.

I’m especially passionate about thoughtful data visualization. I build dashboards, reports, and figures that don’t just look good, but meaningfully support better decisions.