Researcher | Data Analyst & Software Engineer
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I am a highly analytical IT professional and researcher with a robust background in computer science, data analysis, and project management. My expertise includes the development and deployment of bespoke systems, advanced data manipulation, and creating reader-friendly reports and visualisations. I am committed to delivering actionable insights, improving processes, and fostering collaboration across diverse teams and stakeholders.
My adaptability, technical skills, and proactive approach enable me to meet the evolving needs of a dynamic global organisation.
Doctoral Researcher, University of Aberdeen (Feb 2023 – Present): Leveraging expertise in Python, R, and Java for data-driven research, project management, and stakeholder collaboration to deliver impactful results.
Front of House Team Leader, Heart of Midlothian Football Club (Nov 2017 – Jan 2023): Over five years managing corporate hospitality operations, leading teams, and ensuring high-quality customer service in a fast-paced environment.
Graduate Research Assistant, Edinburgh Napier University (Jun 2022 – Jan 2023): Conducted qualitative research on graduate outcomes, managing interviews, focus groups, and detailed documentation.
Student Intern, Edinburgh Napier University (Jan 2022 – Aug 2022): Led evaluation projects to refine assessment practices and enhance curriculum frameworks, engaging with diverse stakeholders.
Project Manager, Edinburgh Napier University (Jan 2021 – Aug 2021): Delivered a bespoke holiday allowance engine for Brightwire, managing a team and employing Microsoft’s technology stack to exceed client expectations.
During the first two years of my PhD in Computer Science at the University of Aberdeen, I have focused on building a strong foundation for independent research. This has involved conducting an in-depth review of existing literature, identifying knowledge gaps, and refining my research questions. I developed a detailed research proposal, outlining clear objectives, methodologies, and timelines to guide my work.
My research requires advanced technical proficiency, including the use of programming languages like Python, R, and Java, alongside data analysis and visualisation tools. I have designed and executed initial experiments, collected and processed data, and maintained meticulous documentation throughout. Regular engagement with academic supervisors and stakeholders, including industry partners, has been a cornerstone of my work, allowing me to communicate findings effectively and incorporate feedback.
Prior to my PhD, I completed a four-year Bachelors of Science with First-Class Honours in Computer Science at Edinburgh Napier University. This comprehensive programme provided a robust understanding of computing fundamentals and specialised areas such as software development, data science, and systems design. The first two years emphasised programming, mathematics for computing, algorithms, and software engineering practices.
In my third year, I undertook real-world projects with external clients, applying Agile methodologies and advancing my skills in artificial intelligence and data analysis. My final year centred on specialisation in NP-Hard problems and the applicability of evolutionary computation to such problems which culminated in an honours project that integrated highly-specific technical knowledge with recently-learned research skills.
Achieving first-class honours reflects my consistent commitment to excellence, technical proficiency, and the ability to independently manage complex projects. This rigorous academic training has equipped me with the skills and adaptability required to thrive in dynamic technical environments.
