As an experienced Data Analyst with a strong focus on Fraud Analytics, I specialize in both the identification and prevention of fraudulent activities. My background in Banking Analytics has equipped me with a diverse skill set in data analysis, reporting, research, consulting, and stakeholder management.Throughout my professional and academic career, I have honed my analytical abilities to deliver actionable insights and recommendations that drive strategic decision-making. I excel in collaborating with cross-functional teams to detect complex fraud trends and implement effective prevention strategies, presenting findings to key stakeholders to influence organizational direction.I am committed to leveraging data-driven approaches to enhance fraud prevention efforts while maintaining business efficiency and sustainability.Developed strong interpersonal communication skills via extensive debating in MUN's over 9 years. Actively gives back to the community via volunteering activities.Key Skills: Data Analysis, Data Visualization, Data Engineering, Python, Power BI, Tableau, Machine Learning, AI, SQL, Excel, ESG, Reporting;Open to discuss opportunities in the field of Analytics and Consulting.