Selena Cardona
About Selena Cardona
Selena Cardona serves as the Manager of Data & Analytics at Condé Nast Entertainment, where she applies her econometrics skills to improve data analytics processes. With a background in economics and computer science from Mount Holyoke College, she leverages programming expertise in Python and Java, along with cloud computing knowledge, to develop data-driven strategies for entertainment content.
Work at Condé Nast
Selena Cardona has been serving as the Manager of Data & Analytics at Condé Nast since 2019. In this role, she applies her expertise in econometrics to enhance data analytics processes within Condé Nast Entertainment. Her responsibilities include developing and analyzing data-driven strategies for entertainment content across various platforms, including film, television, and digital media. She utilizes advanced programming skills in Python and Java to optimize workflows, ensuring efficient data management and analysis.
Education and Expertise
Selena Cardona holds a Bachelor of Arts degree from Mount Holyoke College, where she studied Economics and Computer Science. This educational background provides her with a solid foundation in both economic theory and technical skills, which she applies in her current role. Her expertise in econometrics and data analytics is complemented by her strong programming skills, enabling her to effectively contribute to data-driven decision-making processes.
Background
Before joining Condé Nast, Selena Cardona worked as a Data Scientist at Shareablee, Inc. from 2017 to 2019 in New York, New York. In this position, she developed her skills in data analysis and strategy formulation, which she later brought to her role at Condé Nast. Her background in cloud computing, particularly with AWS, supports her ability to create scalable data solutions for the organization.
Skills in Data Analytics
Selena Cardona possesses strong skills in econometrics, which she applies to enhance data analytics processes at Condé Nast Entertainment. Her proficiency in advanced programming languages, including Python and Java, allows her to optimize data workflows effectively. Additionally, her background in cloud computing with AWS contributes to the development of scalable data solutions, making her a valuable asset in the field of data analytics.