Evan Moore
About Evan Moore
Evan Moore is a Data Scientist at MassMutual in Amherst, Massachusetts, specializing in statistical baselining, anomaly detection, and unsupervised learning techniques in the Security & Fraud domain.
Title and Current Role
Evan Moore is currently a Data Scientist at MassMutual, based in Amherst, Massachusetts, United States. In his role, he specializes in applying statistical baselining, anomaly detection, and unsupervised learning techniques in the Security & Fraud domain.
Previous Positions
Evan Moore previously held the position of Undergraduate Research Assistant at the University of Massachusetts Amherst, where he worked for 9 months from 2017 to 2018. Prior to that, he served as a Per Diem Preparatory Technician at Baystate Reference Labs in Springfield, Massachusetts, a role he held for 3 years from 2015 to 2018.
Educational Background
Evan Moore has an extensive academic background from the University of Massachusetts Amherst. He earned a Master of Science (MS) in Computer Science, studying from 2018 to 2021. Additionally, he completed a Bachelor of Science (BS) with an Individual Concentration in Informatics and a Bachelor of Arts (BA) in English from 2013 to 2018.
Areas of Expertise
Evan Moore is skilled in statistical baselining, anomaly detection, and unsupervised learning. He focuses on applying these techniques to the Security & Fraud domain. He also has a strong interest in generative modeling and natural language processing, making him a versatile professional in the field of data science.
Research and Projects
In his research, Evan Moore has conducted analysis related to influenza forecasting. He analyzed the performance of over 20 statistical models in relation to an ensemble model. Additionally, he focused on the interactive visualization of forecasts for the FluSight Network Challenge using tools like plotly, Shiny, and ggplot2.