Sue Su is a seasoned statistical professional with a strong background in fraud modeling and predictive analytics. Currently serving as a Senior Fraud Modeler at Fiserv since June 2021, Sue Su develops machine learning models to mitigate fraud losses in e-Payment products for numerous US financial institutions. Prior experience includes a role as a Data Scientist at AnalyticsIQ, where predictive models were created using people-based marketing data to enhance marketing outcomes. Additionally, Sue Su honed skills through personal projects as a Data Scientist from 2019 to 2020 and contributed as a Statistical Modeler at LexisNexis Risk Solutions from 2015 to 2018, implementing predictive analytics to improve client relationships and prevent attrition. Earlier experience includes serving as a Graduate Research Assistant at Georgia State University, supporting students in statistical methodologies and conducting simulation research. Sue Su holds a Master of Science in Mathematics & Statistics from Georgia State University.
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