Software engineer pivoting into data science. Five years of production work behind me working with web, ETL, internal data tools now finishing an MS at CU Boulder this fall.
Currently: Finishing my MS at CU Boulder (graduating Oct 2026). Looking for my first entry-level role in data analytics, BI, analytics engineering, or junior data science.
GPA 3.95 · Coursework: Probability & Statistics, Machine Learning, Deep Learning, Data Mining, Algorithms
Real-time pipeline ingesting tweets and classifying sentiment and threat content with VADER plus a zero-shot transformer.
Public dataset pairing NFL box scores with historical betting lines, 1999–2024 seasons.
MS-DS Data Visualization final — EDA and viz on the 24–25 Dallas Cowboys salary cap.
Multi-model AI SaaS platform — chat, image, and code generation behind a single Next.js app.
Concurrent role maintained alongside full-time MS coursework at CU Boulder.
High-volume technical customer support across hardware and software lines; consultative diagnostics and needs assessment using Apple's structured methodology. Translated technical concepts into clear, actionable guidance for non-technical end users.
Built client-facing inventory management interfaces and reporting workflows on an Agile team. Collaborated with backend engineers to integrate data feeds and surface inventory metrics to end clients.
Led product development for internal logistics tools; partnered with QA and user testing to validate UX and identify defects, reducing deployment errors by 35%.
Managed enterprise data platform for inventory, sales, and customer records. Cross-system data validation and quality checks. Translated business questions into SQL-based reporting for non-technical stakeholders.
Developed internal desktop and mobile tools improving workflow efficiency; contributed to data collection and reporting pipelines.