
Experienced IT professional with over seven years of experience across clinical IT, data analysis, and software development, holding MSc degrees in Computer Science and Artificial Intelligence . I have nearly two years of NHS experience across two Trusts, working within Medical Physics and clinical computing environments, where I currently support clinical scientific computing systems used in patient care and research. My role involves full lifecycle support of clinical systems, incident and problem management, and close collaboration with clinical scientists, with a strong focus on information governance and patient safety. I am keen to undertake the Scientist Training Programme to further develop as a Clinical Scientist in Clinical Scientific Computing.
Advanced Python, Basic R, ASPNET
Supervised, Unsupervised, and Reinforcement Learning
Neural Networks, Deep Learning, CNNs
Decision Trees, Random Forest, SVM, K-Means Clustering
Image Classification, Object Detection, Image Segmentation, Facial Recognition
Matplotlib, Seaborn, Jupyter Notebook, Anaconda, PyCharm
Tableau, SQL,Power BI
Git, GitHub, Apache Spark, Hadoop
Virtual Machines, Storage, App Service, SQL Database, Data Factory, Active Directory, Functions