With a unique combination of technical expertise and research experience, I bring value to every project I undertake as a Data Analyst and Machine Learning Specialist. My work is focused on delivering actionable insights that drive strategic decisions, improve operational efficiency, and unlock growth opportunities for businesses.
I specialise in creating dynamic tools and dashboards, such as Business Intelligence Dashboards, using advanced Power BI techniques. By applying semantic modelling, DAX calculations to create custom KPIs, and designing intuitive visualisations, I empower stakeholders to make confident, data-driven decisions.
As a data scientist, I have developed machine learning applications, including a FinTech Credit Risk Assessment Tool leveraging MLOps. Key processes such as data ingestion, preprocessing, and validation were automated, and CI/CD pipelines were implemented alongside MLflow for experiment tracking. This streamlined model deployment and significantly improved efficiency in credit risk evaluation.
In my role as a Tutor, I have trained master’s students in business data analytics, integrating Python and data analytics principles to strengthen their technical skills. Through custom dynamic dashboard visualisations, I enabled students to interpret data in real-time and apply these insights to business contexts. This hands-on approach bridged the gap between technical skills and strategic decision-making, equipping students with industry-relevant expertise.
My PhD research at Bangor University builds on this expertise, applying machine learning to predict policy impacts on socioeconomic development. This pioneering approach has enhanced my ability to extract meaningful insights from complex datasets.
Whether it’s optimising business operations, enhancing financial decision-making, or developing bespoke analytics solutions, I am committed to driving measurable results. My entrepreneurial mindset, innovative approach, and strong communication skills enable me to collaborate effectively with teams and stakeholders to contribute to organisational success.