cv-educornelsen
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Revenue Analytics Engineer for SaaS, Fintech & E-Commerce. I build data pipelines, AI agents, and analytics systems that drive commercial decisions. Eduardo Cornelsen is an Analytics Engineer based in Brazil, specializing in revenue analytics, data pipelines, and AI-powered data products. He builds end-to-end analytics infrastructure — from raw data ingestion to interactive dashboards and natural language interfaces.
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# Eduardo Cornelsen — Analytics Engineer > Revenue Analytics Engineer for SaaS, Fintech & E-Commerce. I build data pipelines, AI agents, and analytics systems that drive commercial decisions. ## About Eduardo Cornelsen is an Analytics Engineer based in Brazil, specializing in revenue analytics, data pipelines, and AI-powered data products. He builds end-to-end analytics infrastructure — from raw data ingestion to interactive dashboards and natural language interfaces. ## Projects - **Full-Funnel AI Analytics Platform** — Production system that answers attribution questions in 15 seconds using plain English. Stack: LangChain, LangGraph, dbt, BigQuery, FastAPI, MCP. - **PunkSQL** — Mobile-first SQL learning tool with instant feedback and short-session design. - **RevOps Lead Engine** — AI lead scoring system using XAI (SHAP) and scikit-learn with explainable NDR analytics. - **MusicInsights AI** — AI consultant that explains why songs succeed or fail, trained on 160k+ tracks. Stack: LangChain, Gemini, Streamlit. - **Epic Store Analysis** — Data-driven analysis disproving that graphics quality drives review scores in game development. ## Technical Stack - **Data**: dbt, BigQuery, Python, SQL, Pandas, scikit-learn - **AI/Agents**: LangChain, LangGraph, MCP (Model Context Protocol), Gemini, SHAP - **Frontend**: React, TypeScript, Vite, Tailwind CSS, D3.js, Three.js - **Infrastructure**: Google Cloud Run, Docker, GitHub Actions, Supabase - **Visualization**: Looker, Recharts, Plotly ## Contact - Portfolio: https://eduardocornelsen.com - LinkedIn: https://www.linkedin.com/in/eduardocornelsen
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