MIS & Accountancy student at CSULB with two production Python tools running inside Microsoft Dynamics every day — built without an API, adopted team-wide, and still live. Also VP of Finance. Also 3.87 GPA.
Python desktop tool that extracts invoice data from PDFs and auto-fills Microsoft Dynamics Business Central — eliminating 3–5 minutes of manual re-entry per invoice with zero API dependency. Built to solve a real daily pain point at ASI.
Python automation that reads Docusign PDFs and CashNet Excel files then enters structured journal data directly into Business Central. Replaced a multi-step manual process that was both time-consuming and error-prone.
Economic analysis of real income growth, purchasing power decline, and regional inequality across the U.S. Built in Tableau with a focus on data storytelling. Placed 3rd at the AIS Annual Datathon 2026 competing against all CSULB teams.
Open to data analyst, business analyst, and automation engineering internships and roles.