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francescopagano/README.md

Francesco Pagano

👋 Hi, I'm Francesco

🧑‍💼 Customer Advisory @ SAS Institute Italy | 📍 Milan, Italy 🔗 LinkedIn 🌐 Personal GitHub

🧠 About Me

I'm Francesco, a Customer Advisory professional at SAS Institute, working on Advanced Analytics and AI solutions for Public Administration clients. I joined SAS through the CareerStart program after completing my MSc in Statistical Sciences at the University of Padova.

My work sits at the intersection of statistics, causal inference, and applied GenAI — from technical demos and solution architecture to hands-on prototyping of LLM-based systems in regulated domains like healthcare and legal.

  • 🎓 MSc in Statistical Sciences, University of Padova
  • 🌍 Erasmus student at ISCTE Lisbon (2025)
  • 🏥 Currently building RAG and agentic AI systems for oncology and clinical decision support (MCP servers, retrieval pipelines, multi-LLM evaluation)

🛠 What I work with

  • Languages: Python, R, SQL, SAS
  • AI/ML: Anthropic API, OpenAI API, langchain, langgraph
  • Statistics/ML: numpy, pandas, scikit-learn, xgboost, lightgbm, matplotlib, seaborn, tidyverse, glmnet, randomForest, ggplot2, keras
  • SAS Viya: Retrieval Agent Manager (RAM), Visual Text Analytics, Visual Forecasting, Visual Analytics, Model Studio
  • Languages spoken: Italian 🇮🇹 (native), English 🇬🇧 (fluent), Spanish 🇪🇸 (learning)

📌 Currently exploring

Retrieval-augmented generation and agentic architectures applied to healthcare and legal use cases — combining statistical rigor with modern LLM tooling.

Thanks for visiting! Feel free to reach out if you want to talk about applied AI, statistics, or share a travel/photography tip.

Popular repositories Loading

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  4. francescopagano francescopagano Public

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  5. lca-lc-foundations lca-lc-foundations Public

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