Data Science professional passionate about fraud prevention and business optimization. Skilled in qualitative and quantitative analysis, identifying new fraud patterns and implement effective solutions using fraud risk scorecards and timely KPIs. Proficient in SQL, Python and Excel, developed fraud detection tools, reducing financial loss by 78%. Provide ad-hoc analysis, integrate systems, and compile fraud loss metrics. With expertise in risk models and statistical methods, I saved $0.5 million in six months. Efficient and insightful, deliver valuable results, building reports for scorecards and stakeholders. Committed to progress, I contribute to artifact development, improving efficiency by 20%. Let's connect to discuss how I can enhance your organization's success.