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emndanudavid-data/README.md

👋 Hi, I'm David Emily

I'm a Data Science and Economics and Statistics graduate focused on turning data into actionable insights using Python, SQL, and machine learning.

🧠 What I Do

  • Analyze and clean real-world datasets
  • Build machine learning models for prediction and segmentation
  • Create data visualizations and dashboards
  • Extract insights to support decision-making

🛠️ Tech Stack

  • Languages: Python, SQL
  • Libraries: Pandas, NumPy, Scikit-learn
  • Visualization: Matplotlib, Seaborn, Power BI
  • Databases: MySQL / PostgreSQL
  • Tools: Git, Jupyter Notebook, Excel

📌 Featured Projects

  • Customer Segmentation using K-Means Clustering
  • Loan Default Prediction Model

📈 Currently Working On

  • Improving machine learning model performance
  • Building more real-world data projects
  • Enhancing project documentation and presentation

📫 Connect with Me

Pinned Loading

  1. customer-segmentation-analysis customer-segmentation-analysis Public

    Customer segmentation using K-Means and Hierarchical Clustering with Power BI dashboard

    Jupyter Notebook

  2. loan-default-prediction loan-default-prediction Public

    Machine learning project predicting loan approval using Logistic Regression and Random Forest with full preprocessing and Kaggle submission pipeline.

    Jupyter Notebook