I have an MSc in Applied Data Science and Statistics and a passion for machine learning, continuous learning and building models that translate data into business insights and recommendations. I'm also a problem solver with experience in exploratory analysis, machine learning, statistical modelling and stakeholder management. I'm often praised for my ability to present technical information to both technical and non-technical audiences and I'm eager to start my first role as a data scientist.
Experience in: data querying, data vizualization, machine learning, statistical modelling, project management, client management, stakeholder management...
Classification of ventricular action potentials
My dissertation. I used a novel machine learning based approach to classify normal vs abnormal action potentials in ventricular myocytes (heart cells). SHAP values were used to rank the importance of ion conductances in making predictions
London's safest and most dangerous boroughs
Analysis of London crime data published by the MET and a rank of the safest boroughs in London(2018)
Investigation of England's hospital admission rates for COPD (2001-2010)
Disease mapping using standardised mortality/morbidity ratios(SMRs). Recommendations made as to key areas in England where increased resources to hospitals should be allocated. An MSc Assignment
