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Achievement: Pair Extraordinaire

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  1. pharma-launch-forecast pharma-launch-forecast Public

    Interactive pharmaceutical launch forecast models for the German market. Generic entry (Eliquis) and brand competition (GLP-1: Mounjaro vs. Ozempic) with Streamlit dashboards and Excel exports.

    Python

  2. launch-dashboard launch-dashboard Public

    Pharma Launch Forecast Dashboard

    JavaScript

  3. pharma-pipeline-intelligence pharma-pipeline-intelligence Public

    Competitive intelligence platform for diabetes & obesity drug development. Data engineering + ML pipeline + 9-page Streamlit dashboard.

    Python

  4. research-paper-analyzer research-paper-analyzer Public

    AI-powered analysis of scientific research papers using 8 specialized agents. Streamlit + Azure OpenAI GPT-4.1.

    Python

  5. rfm-customer-segmentation rfm-customer-segmentation Public

    Customer segmentation pipeline comparing K-Means vs GMM clustering on £6.7M retail data. 10 RFM segments, Hopkins-validated clustering, 61 tests, CI/CD. Built with scikit-learn.

    Python

  6. medreg-intelligence medreg-intelligence Public

    AI-powered Regulatory Intelligence for Medical Devices. RAG pipeline with semantic reranking across EU MDR, MPDG, MepV, UK MDR, and more.

    Python