At CCLYTICX, I monitored fraud and credit exposure across consumer portfolios, contributing to a 15% reduction in fraudulent transactions. I used SQL, Python and Tableau for cohort and vintage analysis, improving fraud detection accuracy by 30%.
I built SQL- and Tableau-based dashboards, data models and cohort frameworks for credit card and retail portfolios. This work improved visibility of key business metrics by 20% and contributed to a 25% increase in operational efficiency.
Earlier at CCLYTICX, I developed quality assurance procedures and complaint tracking that reduced errors by 20% and complaint resolution time by 25%. I'm completing an MSc in Sustainable Finance at University College Dublin and pursuing ACCA.
