I’m a Health Data Science MSc student with a strong foundation in mathematics, computing, and data engineering. My interests include forecasting, discrete event simulation, machine learning, genomics, and data security.
- 📊 Forecasting & Time Series Analysis: Applying ARIMA, Prophet, and neural network models to healthcare data.
- ⚙️ Discrete Event Simulation (DES): Modelling hospital operations and patient flows using SimPy, including acute stroke unit scenarios.
- 🏥 Health Data Science: Developing data-driven solutions for clinical and operational challenges.
- 🤖 Machine Learning Development: Building predictive models using scikit-learn for real-world datasets.
- 🧬 Genomics & Bioinformatics: Conducting GWAS, meta-analysis, and genetic risk scoring using UK Biobank and clinical data.
- 🛠️ Data Engineering & Security: Working with Azure Databricks, Cosmos DB, SQL, and Python pipelines.
- Programming: Python (Pandas, NumPy, Matplotlib, Seaborn), R, SQL
- Machine Learning: scikit-learn, time-series forecasting (ARIMA, Prophet), predictive modelling
- Simulation: Discrete Event Simulation (SimPy)
- Data Engineering & Cloud: Azure Databricks, Azure Cosmos DB
- Genomics & Bioinformatics: GWAS, meta-analysis, genetic risk scores (GRS), UK Biobank data
- Documentation & Standards: Sphinx, Flake8, Black
-
📈 Pediatric Emergency Department Forecasting
- Forecasted NHS pediatric ED attendances using statistical, machine learning, and deep learning models.
- 📌 Repository: https://github.com/Guledaar/Forecasting-project
-
🧠 Acute Stroke Unit Discrete Event Simulation (DES)
- Developed a SimPy-based DES to model patient flow, length of stay, and discharge routing in acute stroke units.
- Built an interactive Streamlit dashboard to test different capacity scenarios and operational strategies(in progress).
- Supports healthcare planning by evaluating workflow performance and patient throughput without real-life disruption.
- 📌 Source repo: https://github.com/KaysHaydock/acute_stroke_unit_des_simulation
-
📊 Data Visualization Dashboard (
vistool)- Python package for interactive visualization of NHS datasets.
- 📌 PyPI: https://pypi.org/project/vistool/
- 💼 GitHub: https://github.com/Guledaar
- 📧 Email: Guledabdullahi23@hotmail.com
- 🔗 LinkedIn: https://www.linkedin.com/in/guledabdullahi
Always open to collaboration and learning! 🚀