Profile

About Me

Hi, I'm Ned

Data Scientist specialising in fintech applications with expertise in building production-grade machine learning models and delivering data-driven insights that drive business outcomes.

Expertise

Fintech & Financial Services: Extensive experience developing ML solutions for financial applications including transaction analysis, affordability assessment, and forecasting financial behaviours.

Machine Learning & AI: Building and deploying predictive models, classification systems, and time series forecasting solutions. Experienced with both traditional ML and deep learning approaches.

Cloud & Infrastructure: End-to-end ML lifecycle management using cloud platforms, containerisation, and scalable deployment architectures.

Full-Stack Development: Creating data-driven applications from backend APIs to interactive frontends, bridging the gap between data science and production systems.

Technologies

Languages:

PythonSQLJavaScriptTypeScript

ML & Data Science:

PyTorchPySparkScikit-learnTime Series AnalysisStatistical ModellingDeep Learning

Cloud & Data Platforms:

AWS SageMakerAWS AthenaSnowflakeDockerGitCI/CD

Web Development:

ReactFastHTMLREST APIs

Education

  • MSc Data Science - University of St. Andrews (ongoing)
  • MChem Chemistry (First Class) - University of Oxford