I turn structured data into clear, actionable insights using Python, SQL, Tableau, and Excel, with a focus on data accuracy, visualization, reporting, and process improvement.
Worked in a four-person team to analyze whether growth in college-major populations was associated with unemployment and whether patterns differed between STEM and non-STEM fields. I co-led exploratory data analysis and contributed to regression analysis, interpretation, and final synthesis.
Analyzed 541,909 retail transaction lines to understand repeat purchasing, customer value, revenue concentration, retention, and market performance. Built an end-to-end SQL and Python workflow and translated the findings into measurable business recommendations.
Building an Excel-based analysis of Imperial County's economic development landscape, with a focus on unemployment, workforce conditions, industry trends, and economic indicators that can help communicate regional opportunities and challenges.
I’m a UC San Diego graduate with a B.S. in Cognitive Science: Design and Interaction and a growing focus on data analytics. My background combines technical problem-solving, data visualization, and an understanding of how people interpret and use information.
My projects reflect how I approach data from both analytical and practical perspectives. I’ve used Python, SQL, and statistical modeling to study college-major unemployment trends and built an end-to-end e-commerce analysis focused on customer retention, RFM segmentation, cohort behavior, and revenue concentration. Across these projects, I focus on turning raw information into clear findings, useful visualizations, and actionable recommendations.
Use the form or email rguerre2004@gmail.com.