Jessica Conroy
About Jessica Conroy
Jessica Conroy is a Junior Data Scientist at LMI, specializing in advanced analytics and AI. She has a background in data analysis and research, having previously worked at the American Psychological Association and the National Institute on Drug Abuse.
Work at LMI
Jessica Conroy currently holds the position of Junior Data Scientist at LMI, where she has been employed since 2021. She works within the Department of Advanced Analytics and AI, contributing to various data-driven projects. Her role involves applying data science methodologies to support organizational goals and enhance decision-making processes.
Previous Experience in Data Science
Before joining LMI, Jessica Conroy worked at the American Psychological Association in two roles. She served as a Research Assistant from 2018 to 2020, followed by a position as a Data Analyst from 2020 to 2021. These experiences provided her with a solid foundation in data analysis and research methodologies within the psychological field.
Experience at NIDA
Jessica Conroy worked at The National Institute on Drug Abuse (NIDA) as a Technical IRTA from 2015 to 2017. This role involved technical responsibilities that contributed to her understanding of data management and analysis in a research setting, further enhancing her skills in the field.
Education and Expertise
Jessica Conroy earned a Master's of Professional Science in Data Science from the University of Maryland Baltimore County, completing her studies from 2020 to 2022. Prior to this, she obtained a Bachelor of Arts in Neurobiology and Behavior from Cornell University, where she studied from 2010 to 2015. Her educational background equips her with a strong analytical skill set relevant to her current work.
Skills and Competencies
Jessica Conroy possesses strong time management skills, enabling her to effectively balance multiple projects and prioritize tasks. This competency is essential in her role as a Junior Data Scientist, where managing various data-related tasks is crucial for successful project outcomes.