Summary

Research-oriented Data Scientist with an MSc in Data Science (Distinction) and applied experience in health data analysis, statistics, and reproducible research pipelines. Skilled in Python (pandas, scikit-learn, SQL), data governance in trusted environments, and effective communication of findings to non-technical audiences. Experienced in handling sensitive datasets, developing privacy-preserving machine learning methods, and deploying interactive dashboards for healthcare insights.

Research and Professional Experience

Research Intern – Health Data Research UK (HDR UK)

Jun 2025 – Present

Black Internship Programme (BIP) in collaboration with Newcastle University

  • Conducted lung cancer (C34) data exploration using the Simulacrum v2.1.0 synthetic dataset, applying descriptive statistics, survival analysis (Kaplan–Meier), and subgroup breakdowns (stage, gender, ethnicity).
  • Summarised findings for a healthcare-literate but non-expert audience, highlighting dataset reliability, limitations, and potential uses.
  • Deployed an interactive Streamlit dashboard on Hugging Face to visualise insights and correlations. Dashboard Link
  • Researched federated learning systems for privacy-preserving healthcare AI and worked on a journal for an Adaptive Federated Healthcare System with model compression for edge devices.

Research Collaborator – British Geological Survey & Alan Turing Institute

Jan 2025 – Mar 2025
  • Co-authored the report 'Detecting Shallow Gas from Seabed Seismic Images', applying computer vision methods to legacy geoscience data for renewable energy planning.
  • Demonstrated the ability to translate advanced ML approaches to real-world scientific datasets and collaborate in academic-industry settings.

Machine Learning and Full Stack Engineer

Sept 2024 – Feb 2025

Nanu Tech | London, United Kingdom

  • Fine-tuned BERT-based models for classification tasks; deployed inference APIs using FastAPI and AWS Lambda.
  • Designed CI/CD pipelines and Dockerised deployments, ensuring reproducibility and auditability.
  • Implemented monitoring dashboards (Prometheus, Grafana) to track ML performance and detect drift.

Full Stack Engineer (Contract)

Feb 2024 – Aug 2024

Texture Care Ltd | London, United Kingdom

  • Rebuilt customer-facing Next.js platform (SSR & dynamic routing) to improve SEO and performance.
  • Developed backend APIs with FastAPI and containerised services with Docker.
  • Improved accessibility (WCAG compliance) and implemented a TypeScript component library to reduce bugs.

Software Developer

Nov 2021 – Aug 2023

Octamile Insurance

  • Contributed to the delivery of an insurance claims platform using React, Node.js, and Python APIs.
  • Designed CI/CD workflows (GitHub Actions) and integrated Sentry for error monitoring.
  • Managed complex app state with Redux & Context API; collaborated in a monorepo environment.

Education

M.Sc. Data Science (Distinction)

October 2024

University of Hertfordshire

B.Sc. Computer Science (Second Class Lower)

February 2020

Osun State University

Selected Skills

  • Programming & Data: Python (pandas, numpy, scikit-learn, PyTorch, SQL), Git, Docker, MLflow, Streamlit, R (introductory)
  • Statistics & Analysis: Regression, hypothesis testing, cross-validation, survival analysis, subgroup analysis
  • Data Governance: GDPR compliance, trusted research environments, sensitive data handling
  • Visualisation: Matplotlib, Seaborn, Plotly, Streamlit dashboards
  • Other: FastAPI, Prometheus, Grafana, AWS Lambda

Certifications

  • Microsoft Azure AI Fundamentals – May 2025
  • Pytorch Deep Learning (Udacity Inc.) – January 2020
  • Programming for Data Science with Python (Udacity Inc.) – August 2021

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