Felix Navarro

• Automated weekly sales and inventory reporting in SQL and Python, cutting preparation time by 40%. • Built Tableau dashboards tracking 12 KPIs across 18 retail locations, improving regional visibility for 6 managers. • Reconciled 25,000+ transaction records and partnered with engineering to reduce recurring data-quality exceptions by 28%. • Analyzed promotion performance and identified a 9% lift opportunity in underperforming categories. • Documented metric definitions and QA checks, shortening stakeholder review cycles from three days to one.

• Queried and joined 1.2M-row healthcare and survey datasets in SQL to support five client research engagements. • Created reusable Excel and Python validation scripts that reduced manual cleaning time by 30%. • Produced 15+ client-ready charts and briefing tables, translating statistical findings into concise recommendations. • Standardized intake templates and data dictionaries, raising first-pass quality review scores to 96%.

• Cleaned and analyzed student survey data from 2,400 respondents using R and Excel for faculty research projects. • Built reproducible codebooks and summary tables that cut weekly reporting time by 25%. • Presented findings on retention and course engagement to a faculty working group of 10, informing two pilot interventions. • Mentored three student researchers on spreadsheet QA, version control, and clear chart design.

GPA: 3.7/4.0 · Dean’s List (2020–2023) · Coursework: Regression Analysis, Database Systems, Statistical Computing, Data Visualization · Capstone: Forecasted campus dining demand using time-series models.