Anna McElhinney

I am a Data Analyst and current MSc Data and Decision Analytics student at the University of Edinburgh, with a strong foundation in statistical methodology, programming, and data visualisation. I combine rigorous quantitative training with hands-on experience across ESG, clinical, and financial datasets.

My professional experience includes conducting ESG analysis for investor-facing reports, training and optimising AI models for legal and regulatory use cases, and analysing late-phase clinical trial data to support pharmaceutical decision-making. I regularly use Python, SQL, Power BI, and Tableau to transform raw data into clear, decision-ready outputs.

I have delivered projects ranging from stochastic models of metastasis to interactive COVID-19 dashboards, demonstrating the ability to translate complex models into actionable recommendations. I emphasise quality assurance, reproducibility, and stakeholder-focused visual storytelling in my work.

I am collaborative, detail-oriented, and motivated to apply advanced analytics and machine learning to solve real-world problems that improve organisational and clinical outcomes.