Stirling, Scotland, United Kingdom
Data Science Consultant specialising in data transformation, migration, and advanced analysis. Skilled in Python, SQL, and Alteryx for data cleansing, integration, and workflow automation, with proven success delivering high-quality datasets in consulting and research environments. Bringing a neurodiverse perspective that enhances precision, pattern recognition, and creative problem-solving in complex, data-heavy contexts. Known as a trusted advisor in data-heavy projects, and valued for clear communication and ability to bridge business and technical teams and delivering robust, high-impact solutions from end-to-end. With a PhD in Astrophysics, I have expertise in statistical modelling, time-series analysis, and large-scale data handling — skills that are now applied beyond astronomy to transform messy, multi-source datasets and uncover patterns, trends, and anomalies to find actionable insights.
Delivering data analysis, transformation, and integration projects for enterprise clients including PwC and a FTSE 100 financial services firm. Key achievements: • Led high-risk data migrations using Alteryx, Python, and SQL. • Automated workflows for sensitive regulatory datasets, reducing manual effort and risk. • Built testable, production-ready transformation pipelines aligned to business outcomes. • Acted as key liaison between business and technical teams, both translating data requirements into actionable plans, and business needs into scalable data models and clear migration plans. • Delivered 'business-ready' technical and training documentation to enable smooth knowledge transfer and automation development across UK and Global teams. Projects include: • A Large-Scale Data Migration Project involving 50+ years of unstructured, poor-quality data. • Cross-Border System Integration, assessing and translating data across systems to meet international standards. • Compliance System Transition, acting as primary delivery lead across discovery, migration design and execution phases of compliance-related data.
Working as an Associate Consultant in Data Science with auticon, an award-winning IT and compliance consulting business which exclusively employs autistic adults as consultants. Working for a FTSE 100 financial services firm, delivering data analysis and educating the firm on the positives of data science use (including creating documentation of example projects).
• Translated & modernised legacy Fortran 95 codebase to Python 3, incorporating state-of-the-art updates. • Analysed starspots on AB Dor using Fortran 95 program and Jupyter Notebooks. • Demonstrated attention to detail in ensuring accuracy and reliability in analysis.
• Created and developed software to measure stellar rotation and starspot lifetimes of 185,508 stars using Kepler time series data. • Implemented autocorrelation and MCMC fitting techniques for signal detection. • Designed and developed end-to-end automated data pipeline, including a bespoke ranking criterion for all results, in Python 2 using NumPy and SciPy. • Communicated research at conferences and presentations, published in peer-reviewed journals. • Managed multiple research project simultaneously, showcasing time management and adaptability.
Supervisors: Prof. Charles Beichman & Dr Rachel Akeson, IPAC, Caltech • Funded by NExSci through the SURF fellowship program at Caltech. Conducted during the summer between my fourth and fifth year, in Pasadena, California. • Analysed light curves of 11,000+ stars for exoplanet transits using IDL and custom detection algorithms. • Results contributed to published peer-reviewed research. • Applied problem-solving and critical thinking to refine detection algorithms.
Supervisor: Dr Christiane Helling, LEAP, University of St Andrews • Funded by the Royal Astronomical Society, London, and undertaken during the summer between my third and fourth year. • Enhanced Fortran tools to calculate TiO2 nucleation rates in Brown Dwarf atmospheres.