Dolly S.
About Dolly S.
Dolly S. is a Data Journalist at The Economist, where she has worked since 2021. She has a background in data science, having completed her M.A. at Columbia University, and has held various academic and editorial positions in the Greater New York City Area.
Work at The Economist
Dolly S. has been employed as a Data Journalist at The Economist since 2021. In this role, she focuses on analyzing and interpreting data to support journalistic narratives. Her work contributes to the publication's reputation for providing in-depth analysis and insights on various topics. Based in the Greater New York City Area, she has been part of the team for three years.
Education and Expertise
Dolly S. completed her M.A. in Data Science at Columbia University Graduate School of Arts and Sciences from 2017 to 2019. During her studies, she achieved a perfect GPA of 4.0 in the Quantitative Methods in the Social Sciences (QMSS) program. Her thesis, titled 'The Art of Discretion: Regional Disparities in Federal Sentencing,' reflects her analytical skills. She also gained expertise in agent-based modeling through a course titled 'Data Mining the City' and developed skills in web app development using Python.
Background in Academia
Dolly S. has a background in academia, having served as a Part-time Associate Professor at Parsons School of Design, part of The New School, from 2011 to 2019. During her eight years in this position, she contributed to the education of students in design and data-related fields. Her experience in teaching complements her practical work in data journalism.
Experience in Publishing
Before her current role, Dolly S. worked as a Senior Editor at Natural History Magazine from 2006 to 2017. Over the course of eleven years, she was involved in editorial processes and content creation, enhancing her skills in storytelling and data presentation. This experience laid the foundation for her current work in data journalism.
Technical Skills and Tools
Dolly S. possesses a diverse set of programming skills and tools. She utilizes programming languages such as Python and p5.js for creative coding projects. Her technical expertise supports her work in data analysis and visualization, allowing her to effectively communicate complex information through various media.