My Journey
From biochemistry research to healthcare data science — a path driven by curiosity and impact.
BSc (Ed.) Chemistry
Developed a strong foundation in scientific methodology, analytical reasoning, and laboratory data interpretation.
MSc Medical Biochemistry
Specialised in biomedical research methods, molecular diagnostics, and the biochemical underpinnings of disease pathways.
Python & SQL Proficiency
Built fluency in Python (Pandas, Scikit-learn, Matplotlib) and SQL for data extraction, transformation, and modelling.
Healthcare Data Projects
Completed 11 end-to-end data science projects spanning predictive modelling, business intelligence, and operations research in healthcare settings.
Power BI & Advanced Excel Analytics
Developed interactive Power BI dashboards and advanced Excel-based analytics frameworks — including pivot tables, statistical testing, and Monte Carlo simulation — for healthcare decision-making.
Values
The ethical commitments that guide every project I undertake.
Ethics
Every analysis begins with an ethical framework. I consider the potential impact of findings on patients, clinicians, and communities before drawing conclusions.
Fairness
I actively examine datasets and models for demographic bias, ensuring that analytical outputs do not reinforce or amplify existing health disparities.
Privacy
Patient data is sacred. I work exclusively with de-identified or publicly available datasets and advocate for robust data governance practices.
Transparency
I document limitations, assumptions, and methodological choices clearly so that stakeholders can evaluate findings with full context.