At San Jose State University, I’m analyzing a dataset of 2,800+ records using ANOVA, regression, and correlation analysis in Minitab and Python to identify customer satisfaction drivers and support data-backed recommendations.
At Carelon Global Solutions, I authored technical specifications for enrollment and billing features, working with engineering and QA to validate implementation. My SQL investigations contributed to a 15% reduction in discrepancies, and my Power BI and Excel dashboards improved reporting accuracy by 15%.
For the Tesla Tire Wear Reduction project, I led a four-person team through the DMAIC phases and used Minitab regression to isolate the primary driver. I also have experience with ServiceNow change-management workflows and MRP- and BOM-driven procurement planning.
