Information Systems and Technology student at UT San Antonio with hands-on experience in
data analytics, SQL, and business strategy — from cutting manufacturing costs 20% at a
knitwear company to tripling conversion rates at my own e-commerce brand.
Managed and maintained production data for 80,000+ garments across manufacturing cycles, ensuring accuracy and cross-functional consistency.
Analyzed in-house versus outsourced dyeing costs and led the transition to an external dyeing vendor, cutting production costs by 20%.
Designed data visualizations and structured reporting workflows that translated production data into actionable leadership insights while improving tracking of output, inventory, and fulfillment.
Estilo — Personal Clothing Brand
June 2022 – Present
Co-Founder · Remote
Co-led the end-to-end launch of the brand's e-commerce website and analyzed sales trends to guide inventory and product decisions for the founding team.
Executed data-informed marketing campaigns that drove $5,000+ in additional monthly revenue while cutting return rates and improving customer satisfaction.
Leveraged checkout and sales data to identify orders falling just below the free-shipping threshold, then designed and launched a dynamic free-shipping progress prompt — a CRO feature that tripled site conversion from 1.4% to 4.4%.
Projects
NovaPay FinTech Analytics
SQL · SQLite
Designed a normalized relational database schema modeling a fictional neobank across 4 entities: customers, accounts, transactions, and merchants.
Wrote 28+ business-driven SQL queries spanning customer segmentation, fraud detection, churn risk analysis, and executive-level reporting.
Applied advanced SQL techniques including CTEs, window functions (RANK, LAG, ROW_NUMBER), running totals, and cohort analysis to answer real analyst questions.
Credit Card Churn & Retention Analysis
SQL · Excel · Power BI
Analyzed 10,000+ credit-card customers to identify churn drivers, segmenting by credit limit, utilization, tenure, and transaction activity to isolate the highest-risk, highest-value cohorts.
Quantified the revenue at risk from attrition and modeled the breakeven cost of a targeted retention offer, framing a clear keep-vs-let-go business recommendation.
Built a dashboard surfacing churn rate, customer lifetime value, and segment profitability, then translated the findings into a one-page recommendation with projected dollar impact for non-technical stakeholders.
Technical Skills
Programming & Databases
SQLPythonJavaPostgreSQLSQLite
Tools
Microsoft ExcelTableauPower BIGoogle SheetsDB Browser for SQLiteSpyder