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MadisonSnyder-Data/README.md

Madison Snyder

Data Science Major @ College of Charleston


Featured Projects

  • Core Tech: Python, Scikit-Learn, Random Forest, RandomizedSearchCV
  • Impact: Developed a custom ChargesRatio metric to achieve a 78% recall rate for identifying at-risk revenue
  • Analysis: Conducted Learning Curve analysis to ensure model stability and generalization
  • Core Tech: Python, Pandas
  • Impact: Automated inventory auditing between warehouse and sales records to eliminate "ghost stock" discrepancies
  • Significance: Directly addresses data integrity challenges common in the logistics and supply chain industry
  • Core Tech: Python, Large Language Models, JSON
  • Impact: Engineered an AI pipeline to transform unstructured medical text into structured, analysis-ready JSON datasets
  • Significance: Showcases ability to handle messy, real-world data and convert it into high-value digital assets

Technical Toolkit

  • Languages: Python, SQL
  • Machine Learning: Random Forest, Model Tuning, Recall Optimization
  • Data Analysis: Pandas, NumPy, Matplotlib, Seaborn
  • Environments: GitHub, Google Colab, VS Code

Popular repositories Loading

  1. customer-churn-prediction customer-churn-prediction Public

    Jupyter Notebook

  2. MadisonSnyder-Data MadisonSnyder-Data Public

  3. clinical-extraction-pipeline clinical-extraction-pipeline Public

    Automated LLM-based clinical note extraction with rule-based validation logic.

    Python

  4. data-reconciliation-engine data-reconciliation-engine Public

    Automated logistics auditing tool for warehouse and sales data reconciliation.

    Python