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martystats/README.md

👋 Hi, I'm Martin Ude

🚀 Data Science & Machine Learning Practitioner

I build end-to-end machine learning systems — from raw structured data to deployment-ready predictive applications.

🔬 Core Focus

  • 🔹 End-to-End ML Workflows
  • 🔹 Regression & Classification Modeling
  • 🔹 Feature Engineering & Model Optimization
  • 🔹 Model Deployment (Streamlit)
  • 🔹 Analytical Modeling with Python & Wolfram

🛠 Technical Stack

Languages & Tools

  • Python
  • Pandas & NumPy
  • Scikit-Learn
  • Streamlit
  • Wolfram Mathematica
  • Joblib
  • Git & GitHub

📌 Featured Projects

  • 🚗 EV Range Predictor (Deployed ML App)
  • 🏢 Business Permits Data Science Workflow
  • 🛒 Warehouse Retail Sales Modeling (Wolfram)
  • 🏥 Health Condition Classification
  • ✈️ Airfare Model Deployment

🎯 Current Direction

Focused on building production-ready ML systems with strong generalization, clean architecture, and deployment pipelines.

⭐ Continuously refining real-world data science systems.

Pinned Loading

  1. Crime_Incidents_2025_Offence_Prediction Crime_Incidents_2025_Offence_Prediction Public

    Machine Learning project for predicting crime offence categories from incident details using Logistic Regression and streamlit

    Jupyter Notebook

  2. EV_Range_Prediction_26 EV_Range_Prediction_26 Public

    Machine Learning Project for predicting Electric Vehicle driving range using Random Forest Regression and Streamlit deployment

    Jupyter Notebook

  3. Financial-Sales-Power-BI-Dashboard Financial-Sales-Power-BI-Dashboard Public

  4. Building-Permits-Accepted-Value-Prediction-ML Building-Permits-Accepted-Value-Prediction-ML Public

    Jupyter Notebook

  5. Airfare_Model_Deployment Airfare_Model_Deployment Public

    Jupyter Notebook

  6. Business_Permits_DataScience_FullWorkflow Business_Permits_DataScience_FullWorkflow Public

    Complete EDA and feature engineering of Business Permits dataset with trained models and packaged notebook

    Jupyter Notebook