Charlotte Tully
About Charlotte Tully
Charlotte Tully is an Account Executive at Anaconda, Inc., where she applies her communication skills to engage prospective customers and promote the company's solutions. She holds a Bachelor of Science in Business Administration and Management from the College of Charleston and has previous experience in account management and business development.
Work at Anaconda
Charlotte Tully serves as an Account Executive at Anaconda, Inc. since 2022. In this role, she utilizes her communication skills to identify and engage with prospective customers. She demonstrates the value of Anaconda's solutions, which focus on enhancing workflows for data science organizations. Her responsibilities include collaborating with internal teams to ensure customer success and satisfaction. Tully is motivated by the opportunity to assist data scientists in various tasks, including model development, data analysis, and environment management.
Education and Expertise
Charlotte Tully studied at the College of Charleston, where she earned a Bachelor of Science in Business and Economics. Her academic focus included Business Administration and Management, with concentrations in Entrepreneurship and International Studies. This educational background provides her with a solid foundation in business principles and practices, which she applies in her current role at Anaconda.
Background
Before joining Anaconda, Charlotte Tully gained experience in account management and business development. She worked at Benefitfocus as an Account Administrator from 2020 to 2021, where she developed skills in customer engagement and account management. Following that, she served as a Business Development Representative at Infor from 2021 to 2022, further enhancing her expertise in business development.
Achievements
In her current position at Anaconda, Charlotte Tully contributes to improving workflows for data science organizations. She helps provide a secure and dependency-free distribution of Python and R packages. Her work focuses on assisting data scientists with developing and training models, analyzing data, visualizing results, and managing libraries and dependencies.