ai with ash!

About Me

Recent MSc AI Graduate from Birmingham City University with expertise in ethical AI governance, bias mitigation, and responsible AI deployment. My dissertation focused on "The Generalisation of Fairness: A Study of Bias-Mitigated AI Models," establishing frameworks for ethical AI practices.

With professional experience at the NHS and General Electric Vernova, I've developed AI solutions while ensuring compliance with data protection regulations. I'm passionate about creating AI systems that are not only intelligent but also fair, transparent, and socially responsible.

Ethical AI Governance

Bias Mitigation

Data Science

Artificial intelligence

Professional Experience

Building scalable AI solutions in healthcare and energy sectors

Junior Data Scientist

NHS Midlands and Lancashire CSU - The Strategy Unit

June 2025 – Aug 2025 | Birmingham

Developed and version-controlled code through GitHub and Databricks, integrating pipelines across Azure Blob Storage for scalable data handling
Designed a rule-based data synthesis process using Python and Pandas to inject realistic relationships into a 10,000-row NHS Artificial HES dataset with 165 attributes
Implemented AI governance framework ensuring 100% compliance with NHS data protection and privacy regulations
Collaborated with senior data scientists to review Bronze–Silver–Gold pipeline architecture
Contributed to a Florence Nightingale Award-winning healthcare planning tool

Software Intern

General Electric Vernova

July 2022 – July 2023 | Edinburgh

Maintained 10+ automated data pipelines supporting real-time analytics for energy distribution systems
Implemented Docker-based CI/CD workflows, reducing manual deployment time by 35%
Collaborated in Agile teams to integrate APIs across cloud environments, improving system reliability by 25%

Featured Projects

Explore my journey through artificial intelligence with these innovative projects

Fairness Evaluation and Bias Mitigation in AI Models

Conducted in-depth investigation into algorithmic fairness using historical and contemporary cohorts from clinical datasets.

Python • GANs • Azure • PySpark

Anomaly Detection & Fraud Prevention System

Built and deployed ML models for fraud detection in imbalanced datasets, achieving 99.3% accuracy.

Python • Scikit-learn • SMOTE

AI Bias Detection and Mitigation Framework

Developed comprehensive framework for detecting and mitigating bias across AI model lifecycles.

Python • TensorFlow • Ethical AI

Technical Skills

Proficient in modern AI technologies and development frameworks

AI & Machine Learning

Python 95%

TensorFlow 90%

PyTorch 85%

Scikit-learn 92%

Development & Tools

Git 88%

Docker 80%

SQL 85%

Azure 85%

Achievements & Awards

Recognition for excellence in AI research and data science

MSc AI with Distinction

Graduated with distinction from Birmingham City University

Research Excellence

Published research on bias mitigation and fairness in AI models

Industry Impact

Implemented scalable AI solutions at GE Vernova and NHS with measurable performance improvements

Technical Innovation

Developed novel approaches to data synthesis and AI governance frameworks

Multi-Award Finalist

Recognised as a finalist in three categories at the Women in Tech Awards 2025: AI Champion of the Year, Academic, and Rising Star

ELAN Scholarship

Awarded a fully funded ELAN Scholarship to support my MSc research in AI ethics and responsible development.

Get in Touch

I’m exploring graduate roles in data science and AI. If my skills fit your team, I’d love to hear from you.

Building ethical AI for a better future