MSc in AI & Data Science · Healthcare AI · Deep Learning · LLM Integration
I build end-to-end machine learning systems with a focus on healthcare and clinical applications. My background spans deep learning, computer vision, NLP, and EEG signal processing, with hands-on experience in NHS inpatient settings supporting young people with neurodevelopmental conditions.
Currently building toward PhD research in causal AI and EEG analysis in children with neurodevelopmental conditions.
Automated sleep staging from raw EEG signals using a 1D CNN, MNE-Python, and interpretable AI. Built on the Sleep-EDF Expanded dataset (22,683 epochs, 13 subjects). Achieved balanced accuracy of 0.718 and Cohen's Kappa of 0.430. Applied SHAP and Grad-CAM to explain model decisions — the CNN independently identified sleep spindle locations without explicit labelling. Clinically motivated by sleep difficulties in children with autism, ADHD, and epilepsy. → github.com/danielakbank/eeg-sleep-staging
U-Net with ResNet50V2 backbone for lesion detection and segmentation. Validation Dice ~0.71. Two-phase transfer learning. Deployed on Hugging Face Spaces via Gradio.
Compared classical CV preprocessing against a U-Net with EfficientNetB0 encoder on the UIEB benchmark. PSNR improvement of +3.03dB over raw baseline.
AI-powered job matching platform aggregating live listings from Adzuna, Reed, and Remotive APIs, scored against uploaded CVs using an LLM engine. Deployed on Streamlit Cloud.
Python ETL pipeline ingesting 5M+ DfE records. Risk-flagging model across 150+ local authorities. Interactive Power BI dashboards for non-technical stakeholders.
Breathing exercise app built with Flutter. Published on the Google Play Store.
ML & AI: TensorFlow, Keras, Scikit-learn, 1D CNN, U-Net, Transfer Learning, NLP (TF-IDF), LLM Integration (Mistral/Ollama), EEG Signal Processing (MNE-Python), SHAP, Grad-CAM
Data Engineering: Python, Pandas, NumPy, SQL, ETL Pipelines, API Integration, Web Scraping
Visualisation & BI: Power BI, DAX, Matplotlib, Seaborn
Software & Deployment: Streamlit, Gradio, Flask, Flutter, Hugging Face Spaces, Git
- Healthcare Support Worker, Cygnet Health Care CAMHS (2025–present)
- MSc AI & Data Science, University of Hull (2023–2024)
- BSc Computer Science, ESAE University (2018–2021)