Broomfield, Colorado, United States
Applied advanced data science and predictive modeling techniques to analyze client datasets and forecast advertising response and revenue outcomes. Designed and deployed scalable analytical applications using R, Shiny dashboards, and Alteryx, enabling stakeholders to efficiently explore insights and make data-driven decisions. Developed customer segmentation frameworks using clustering algorithms on demographic and transactional data to inform targeting and campaign strategy. Extracted, transformed, and analyzed large-scale datasets from SQL databases to identify inefficiencies and uncover opportunities for operational and marketing optimization. Partnered with Digital Advertising teams to enhance the matchback process, improving attribution accuracy and driving measurable increases in client ROI. Built an interactive Retail Trade Area application allowing clients to analyze market potential and geographic performance across zip codes surrounding store locations.
12 week, Python based, machine learning and data science bootcamp
-Leveraged R, Excel, and SQL to clean, analyze, and transform call center data into actionable insights. -Identified optimal times for customer engagement, advising leadership on strategies to improve productivity and profitability. -Designed and executed A/B tests to evaluate website performance and determine which version was more effective at driving customer conversions.
-Co-led a study abroad program in Costa Rica for Northern Arizona University students, providing academic and cultural guidance. -Redesigned and taught a Statistics course, incorporating technology and real-world data to enhance student learning. -Planned, organized, and supervised educational excursions across Costa Rica and Panama, integrating local context into the curriculum. -Managed program finances, tracking and budgeting expenses to ensure efficient use of resources while abroad.
-Served as primary instructor for university-level Mathematics and Statistics courses. -Developed lectures and curriculum, tailoring course materials to support diverse learning styles. -Advised graduate students and staff on experimental design and sampling methods to strengthen research quality. -Provided training on statistical software tools, including Excel, JMP, R, and SPSS, to support data analysis and reporting.