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  • Tufts
  • Newton, MA

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MadisonMLi/README.md

👋 Hi, I'm Madison Li

🎓 MS in Financial Mathematics, Computer Engineering - Human Robot Interactions | BS in Management Information Systems

💡 Data Scientist | Machine Learning Engineer | Ex-Financial Analyst

📍 Boston, MA | ✉️ mli32@tufts.edu | 👀 Personal Website

ML libraries & Frameworks: PyTorch, Scikit-learn, XGBoost, TensorFlow, LLMs, RAG, Anthropic AI

Data Analysis & Visualization: SQL, Python(numpy, pandas), Power BI, Tableau, etc.

Quantitative Analysis: Monte Carlo, linear regression, random forest, logistic regression, clustering, KNN, etc.

Web Development: C#, JavaScript, .NET Core, CSS & Html

🌱🌱🌱🌱🌱🌱🌱🌱🌱

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  1. financial-research-copilot financial-research-copilot Public

    AI-powered financial research assistant combining LLM tool-use over XBRL data with RAG over SEC 10-K filings.

    Python

  2. fraud-detection fraud-detection Public

    Built a LightGBM fraud detection pipeline with amount-weighted loss function and business cost optimization, achieving 100% recall with only 2 false alarms per 3.1 million transactions.

    Jupyter Notebook

  3. boston-airbnb-dashboard boston-airbnb-dashboard Public

    Interactive Plotly Dash dashboard (live on Render!)exploring Boston's short-term rental market across 25 neighborhoods.

    Python

  4. AI_Powered_Finbot AI_Powered_Finbot Public

    An AI-powered financial analysis chatbot. Data pipeline: SEC EDGAR XBRL API, yfinance, pandas; Claude API backend

    Python

  5. Option-Pricer-Systems Option-Pricer-Systems Public

    A web-based financial derivatives trading and valuation platform. Built with C# .NET Core, and applied Monte Carlo simulation for accurate option pricing.

    C#

  6. Student-Loan-Prepayment-Prediction-with-xgboost Student-Loan-Prepayment-Prediction-with-xgboost Public

    A ML project that predicts student loan prepayment behavior using gradient boosting techniques.

    Jupyter Notebook