Graduate / Junior Data Scientist | PhD Computer Science | MSc Health Informatics
Building practical, research-informed AI & Machine Learning projects in Python, SQL, and modern AI frameworks.
Turning research insight into real-world impact through Data Science, Machine Learning, and modern software engineering.
I’m a PhD-trained Computer Scientist returning to the tech and analytics field after a successful early career in academic research.
My background spans artificial intelligence, quantitative analysis, health informatics, and software engineering, now applied to data science and machine learning projects using Python, SQL, TensorFlow, PyTorch, and scikit-learn.
I’m currently completing a 6-month, industry-aligned Data Science Bootcamp (Dec. 2025 – May 2026) focused on developing reproducible ML pipelines, deploying web apps with Flask/Django, and visualising insights with Plotly and PostgreSQL.
Languages: Python, SQL
Libraries & Frameworks: pandas, NumPy, scikit-learn, TensorFlow, PyTorch, Flask, Django
Tools: Docker, Git, GitHub Actions, Jupyter, PostgreSQL, Plotly
⭐ Current Focus: Graduate Data Science • Machine Learning Engineering • Research Software Engineering




