$2M Workforce Development Grant
Led labor market analysis across four California State University campuses to support a successful statewide manufacturing workforce development proposal.
Strategy & Operations · Analytics-Enabled Leadership · Decision Systems
I am a Statistics and Data Science student at San Diego State University focused on strategy, operations, and analytics-enabled leadership. My work combines analytical rigor, product-minded systems thinking, and organizational leadership to help teams clarify priorities, measure progress, and make better decisions.
Across SDSU Career Services, public health analytics, and scientific data workflows, I have built reporting systems, KPI infrastructure, and AI-assisted tools that turn fragmented data into decision-ready insight.
Led labor market analysis across four California State University campuses to support a successful statewide manufacturing workforce development proposal.
Founded SDSU’s first applied data science community, helping students build pathways into analytics, research, and technical opportunities.
Built analytics workflows, reporting infrastructure, KPI logic, and documentation to help teams translate operational data into clearer decisions.
Prototype AI reporting layer that connects structured CRM-style data to automated executive summaries, KPI explanations, and strategy-ready insights.
Analytics and reporting work supporting workforce development, operational decision-making, KPI infrastructure, and a successful $2M statewide manufacturing pipeline initiative.
Decision pipeline that turns large, noisy scientific catalog data into ranked candidate shortlists, interpretable scoring, and repeatable review workflows.
Long term, I am preparing for a career in strategy and operations where I can combine analytical rigor, systems thinking, and people-centered leadership. I am especially interested in building the decision infrastructure organizations need to set priorities, allocate resources, evaluate performance, and execute with clarity.