Alexander Chacon
Data analytics, AI, and intelligence

Alexander Chacon

I build systems that turn data into decisions. Founder of Cupola. Available for consulting.

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About

Data, AI, and competitive intelligence

The gap between raw data and a decision worth making is almost never a math problem.

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 it is a pipeline, a framing, and a habit of asking the right question first. I brought that approach to Cupola, 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.

Stack

Tools I build with

My standard toolkit for analytics, AI pipelines, and production web apps.

PythonTypeScriptSQLClaude APINext.jsSupabaseVercelscikit-learnPandasStreamlit
Services

What I do

Analytics and Intelligence

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.

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AI Pipeline Design

Multi-agent workflows for automated research, classification, and synthesis using the Claude API and Python. The same architecture behind Cupola, scoped and adapted to your use case.

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Data Engineering

ETL pipelines, data warehouse design (star and snowflake schemas), and SQL modeling. Clean, well-structured data as the foundation for everything that depends on it.

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Web and App Development

Production web and app development with Next.js, React, and TypeScript. From marketing sites to full-stack tools on Supabase and Vercel, built fast and shipped clean.

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Work

Selected projects

Cupola

AI-native competitive intelligence platform. Multi-agent pipeline that automates market research collection, analysis, and synthesis, with an autonomous agent team building the product end to end. Live on a Next.js and Supabase stack.

PythonClaude APINext.jsSupabase
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Pitcher Report Card

End-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.

PythonStreamlitPyBaseballPlotly
Credit Risk Analysis

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.

Pythonscikit-learnPandas
DU Athletics Intelligence Pipeline

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.

ExcelSQLPythonPower BI
Contact

Work with me

Open to consulting on analytics, AI pipeline design, and data engineering. Send a note and I will get back to you within a day.