Curious, analytical, and people-focused data analyst with a diverse professional background and a longstanding fascination with computing, research, and technology. Experienced in R programming, data storytelling, and interdisciplinary analysis across healthcare, environmental, and sociocultural domains. Combines technical capability with empathy and clear communication to transform complex information into accessible, decision-focused insights.
Following a successful recovery from hip surgeries, now focused on expanding analytical expertise, building long-term professional momentum, and contributing to meaningful data-driven work with social and ethical impact.
R Programming, Data Analysis, Data Visualisation, App Development, Spreadsheets, Google Sheets, Natural Language Processing, Introductory Machine Learning, Statistical Modelling, Optimisation, Research Design, Root Cause Analysis, Data Cleaning, Quality Management
Data Storytelling, Stakeholder Engagement, Presentation Skills, Team Collaboration, Strategic Thinking, Writing, Ethical AI Perspectives, Adaptability, Empathy, Problem Solving
Mass Disasters in Vietnam (1953–2024) • Analysed long-term climate vulnerability trends using R, visualising rainfall, temperature, and saline intrusion data to support adaptation-focused interpretation.
Wandering of the Geomagnetic Poles (1590–2025) • Explored geomagnetic drift and planetary core dynamics through historical datasets, geospatial analysis, and visual storytelling.
NHS Cancer Data (2013–2020) • Investigated incidence and survival trends using R, producing visual analyses of diagnostic pathways and patient outcomes.
The Power of Sound Series • Combined neuroscience research and data analysis to examine the therapeutic role of lullabies and birdsong in emotional and cognitive development.
Too Hip to be Cool • Analysed patient-reported outcomes before and after hip replacement procedures, demonstrating measurable improvements in mobility and quality of life.
Understanding the Quran & the Douay-Rheims Bible • Developed R-based sentiment analysis and search tools for comparative textual exploration.
Adventures of Sherlock Holmes: Sentiment Analysis • Applied NLP and literary analysis techniques to uncover emotional and narrative patterns within classic fiction.
Sentiment Analysis of A Collection of Stories (Frank William Ford) • Analysed family-authored texts using NLP methods to visualise thematic progression and emotional tone.
AI Ethics, Zen Principles, and the Socratic Method • Explored philosophical frameworks for responsible AI design, reflective reasoning, and decision-making.
Does Evil Move in Straight Lines? • Investigated links between geometry, morality, and pedagogy through mathematical modelling and reflective analysis.
Conduct independent analytical and research projects across healthcare, environment, education, and social impact topics. Focused on transforming complex datasets into accessible narratives using R, visualisation techniques, and interdisciplinary research methods.
Developed strong interpersonal awareness, resilience, leadership, and communication skills through customer-facing and caregiving roles. These experiences continue to inform collaborative working, stakeholder understanding, and people-centred analytical thinking.
Computing history, philosophy of science, travel, endurance walking including the Camino de Santiago, and continuous learning in data science, research methods, and ethical AI.