Sharon Machlis
Sharon Machlis is a versatile professional with a diverse skill set including data analysis, writing, editing, and web data visualization tools creation. She excels in teaching data skills to journalists and is recognized as an accomplished author of 'Practical R for Mass Communication & Journalism.' Sharon was honored with prestigious awards like the 2023 Jesse H. Neal Award and multiple Azbee awards.
Sharon Machlis is renowned for her expertise in the R programming language and has a keen interest in photography, digital darkroom, and is currently learning American Sign Language. She pursued Computer Science at Framingham State University and obtained a Bachelor's degree in Political Science and Communications from Binghamton University. Currently, she serves as the Director of Editorial Data & Analytics at Foundry.