I build systems that turn data into decisions. Founder of Vantage. Available for consulting.
I am a data analyst and AI engineer finishing my M.S. Business Analytics at the University of Denver. Before the graduate program, I spent four years as a Technical and Data Analyst for DU Athletics, building real-time performance pipelines for the volleyball program and producing statistical reports that went directly into coaching decisions.
That work taught me that the gap between raw data and a decision worth making is almost never a math problem. It is a pipeline, a framing, and a habit of asking the right question first. I brought that approach to Vantage, an AI-native competitive intelligence platform that automates market research for businesses that cannot afford a full analyst team but cannot afford to fly blind either.
My technical foundation covers SQL, Python, R, machine learning, and LLM pipeline design. I hold an Azure AI Fundamentals certification and am actively building at the intersection of analytics and applied AI.
KPI design, variance analysis, forecasting, and executive dashboard development. I build reporting systems that go from raw operational data to a decision worth making, not just a chart worth looking at.
Get in touchMulti-agent workflows for automated research, classification, and synthesis using the Claude API and Python. The same architecture behind Vantage, scoped and adapted to your use case.
Get in touchETL pipelines, data warehouse design (star and snowflake schemas), and SQL modeling. Clean, well-structured data as the foundation for everything that depends on it.
Get in touchAI-native competitive intelligence platform. Multi-agent Python pipeline for automated market research collection, analysis, and synthesis. Next.js marketing site deployed on Vercel.
Visit projectEnd-to-end MLB pitcher evaluation app. Backfilled 760k rows of 2024 Statcast pitch data, built a metrics engine for FIP, xFIP, wOBA, and barrel rate, and deployed an interactive Streamlit dashboard.
End-to-end loan default prediction pipeline. Feature engineering and comparative evaluation of logistic regression, decision tree, random forest, and gradient boosting classifiers with ROC/AUC reporting.
Real-time KPI tracking and opponent variance analysis for DU Volleyball. Automated reporting pipelines in Excel reducing manual overhead; statistical and video reports delivered to coaching staff weekly.
Open to consulting on analytics, AI pipeline design, and data engineering. Send a note and I will get back to you within a day.