Amy Lyne, Cfe
About Amy Lyne, Cfe
Amy Lyne is a Senior Data Analyst at Thomson Reuters in Tallahassee, Florida, where she has worked since 2020. She specializes in fraud detection and data analysis, contributing to significant revenue growth through her development of the ID Risk Analytics product.
Work at Thomson Reuters
Amy Lyne has served as a Senior Data Analyst at Thomson Reuters since 2020, based in Tallahassee, Florida. In her role, she has developed and implemented the Thomson Reuters ID Risk Analytics product, which became a significant revenue generator during the pandemic. She leads analytical efforts for piloting projects that enhance fraud solutions and drive sales. Additionally, she supports various programs, including Medicaid, Unemployment Insurance, and Supplemental Nutrition Assistance Program (SNAP), by analyzing complex data sets to identify trends and patterns.
Education and Expertise
Amy Lyne earned her Bachelor of Science (B.S.) degree in Criminology from Florida State University, where she studied from 2000 to 2004. Her academic background provides a strong foundation for her analytical work in the field of data analysis and fraud detection. Her expertise includes testing and enhancing fraud detection alerts, conducting quality validation analysis, and developing investigative reports for client teams.
Background
Prior to her current position at Thomson Reuters, Amy worked as a Senior Data Analyst at Pondera Solutions, which is part of Thomson Reuters, from 2016 to 2020. During her tenure there, she focused on data analysis related to fraud detection and contributed to various projects aimed at improving data integrity and client outcomes. Her experience in both organizations has equipped her with skills essential for analyzing complex data sets and supporting fraud prevention initiatives.
Achievements
Amy Lyne has played a key role in the development of the Thomson Reuters ID Risk Analytics product, which significantly contributed to the company's revenue during the pandemic. She has also led projects that enhance fraud detection solutions and has been instrumental in presenting findings and developing reports for client investigative teams. Her work includes conducting quality validation analysis on data sets to support both routine and ad-hoc investigations.