Maria Peters
About Maria Peters
Maria Peters is a Senior Analyst specializing in Custom Consumer Insights at Collage Group, where she has worked since 2022. She holds a Bachelor of Arts in Psychology from the University of Virginia and has previous experience in data analysis and marketing from roles at Esri, Forge, and Collage Group.
Current Role at Collage Group
Maria Peters serves as a Senior Analyst in Custom Consumer Insights at Collage Group. She has held this position since 2022, contributing to the analysis of consumer behavior and market trends. Her role involves leveraging data analytics to provide actionable insights that support client strategies. Based in Bethesda, Maryland, she continues to enhance her expertise in understanding consumer dynamics.
Previous Experience at Collage Group
Before her current role, Maria worked at Collage Group as an Analyst in Custom Consumer Insights from 2020 to 2022. During this time, she focused on delivering data-driven insights that informed marketing strategies. Her work involved analyzing consumer data to identify trends and preferences, which helped clients optimize their outreach efforts.
Internship Experience at Esri
In 2019, Maria completed a three-month internship at Esri as an Integrated Marketing Intern in the Greater Los Angeles Area. During this internship, she demonstrated her ability to execute data-driven insights in a professional environment. Esri is recognized as a leader in Geographic Information Systems (GIS), providing her with valuable experience in data analysis and marketing integration.
Data Science Program at Forge
Maria participated in a Data Science Program at Forge in 2020, where she worked for four months in Charlottesville, Virginia. This experience allowed her to deepen her understanding of data science principles and practices. The program emphasized practical applications of data analysis, further enhancing her skill set in the field.
Education and Expertise in Psychology
Maria Peters earned her Bachelor of Arts in Psychology from the University of Virginia, where she studied from 2016 to 2020. Her education provided her with a strong foundation in understanding human behavior, which she combines with her data analytics skills. Additionally, she completed a data science course at the University of Virginia that covered essential topics such as data cleaning, visualization, web scraping, model optimization, and machine learning.