I'm a Health Data Science MSc student with a strong background in mathematics, computing, and data engineering. My interests include forecasting, discrete event simulation, machine learning development, deep learning in healthcare, and data security.
- 📊 Forecasting & Time Series Analysis: Applying models like ARIMA and Prophet to healthcare data.
- ⚙️ Discrete Event Simulation (DES): Recreating hospital ward models for research.
- 🏥 Health Data Science: Exploring data-driven solutions for healthcare challenges.
- 🤖 Machine Learning Development: Building and refining ML models for real-world applications.
- 🧠 Deep Learning in Healthcare: Exploring neural networks for medical imaging, predictive modeling, and patient risk stratification.
- 🛠️ Data Engineering & Security: Working with Azure Databricks, Cosmos DB, and Python.
- Programming: Python (Pandas, Scikit-Learn, NumPy, Matplotlib)
- Machine Learning: Scikit-Learn, Forecasting Models (ARIMA, Prophet), ML Development
- Deep Learning: TensorFlow, PyTorch (focused on healthcare applications)
- Simulation: Discrete Event Simulation (SimPy)
- Data Engineering: Azure Databricks, Azure Cosmos DB
- Documentation & Standards: Sphinx, Flake8, Black
- Time Series Forecasting for NHS Emergency Attendance
- Forecasting pediatric emergency department visits using machine learning models.
- Fraud Detection with Machine Learning
- Exploring fraud detection in credit cards, healthcare, e-commerce, and loans.
- Deep Learning in Healthcare
- Investigating applications of deep learning in medical imaging and patient outcome prediction.
- Data Visualization Dashboard (
vistool)- Developing a Python package for interactive NHS data visualization.
- 💼 GitHub: Guledaar
- 📧 Email: Guledabdullahu23@hotmail.com
- 🔗 LinkedIn: Guled Abdullahi
Always open to collaboration and learning! 🚀