Chelsea French
About Chelsea French
Chelsea French is a Data Scientist with extensive experience in machine learning and data analysis. She has worked at Scientist.com since 2018 and previously held positions at Northern Arizona University, San Diego State University, and Palomar College.
Work at Scientist.com
Chelsea French has been employed as a Data Scientist at Scientist.com since 2018. In this role, she develops machine learning models that utilize natural language processing to improve user experience. She also manages the Tableau production environment, which supports data visualization and business intelligence needs. Her work contributes to the company's goal of enhancing data-driven decision-making.
Previous Experience in Academia
Before joining Scientist.com, Chelsea French held several academic positions. She worked as a Graduate Teaching Assistant in Psychological Statistics at San Diego State University from 2013 to 2015. Additionally, she served as an Adjunct Professor at Palomar College in 2018. Earlier in her career, she was involved in undergraduate research at Northern Arizona University from 2012 to 2013.
Educational Background
Chelsea French earned her Bachelor of Applied Science (BASc) in Psychology, Criminology, and Criminal Justice from Northern Arizona University, completing her studies from 2008 to 2012. She furthered her education by obtaining a Master of Arts (MA) in Psychology from San Diego State University, where she studied from 2013 to 2016.
Technical Skills and Tools
In her professional roles, Chelsea French utilizes various technical skills and tools for data analysis and forecasting. She is proficient in SQL, R, and Python, which she employs to drive business decisions. Her expertise in machine learning and natural language processing enhances her ability to analyze data effectively.
Experience in Research and Psychology
Chelsea French has a background in psychology research, having worked as a Psychology Technician at the Veterans Medical Research Foundation from 2016 to 2017. This experience complements her academic qualifications and informs her approach to data science in the context of psychological research.