Emanuel Kamali
About Emanuel Kamali
Emanuel Kamali is a Data Scientist with extensive experience in analytics and data science. He has worked for notable companies including Known, MediaCom, and Havas Media Group, and possesses strong skills in R programming and social media analytics.
Work at Known
Emanuel Kamali has been employed at Known as a Data Scientist since 2021. His role involves utilizing data science techniques to enhance marketing strategies and optimize paid media campaigns. He operates within the New York City Metropolitan Area, contributing to projects that leverage data analytics for business development.
Previous Experience in Data Analysis
Prior to his current position, Emanuel worked at MediaCom as a Senior Analyst from 2019 to 2021. He also held the role of Analytics Manager & Data Scientist at MediaCom in 2021. His experience includes a position at Havas Media Group, where he served as a Marketing Analyst, Data Consultant, and Data Engineer from 2018 to 2019. He began his career with a Data Analyst Internship at GfK in 2016.
Educational Background
Emanuel Kamali earned a Bachelor of Arts in Statistical Mathematics from Binghamton University, where he studied from 2014 to 2018. He furthered his education at NYC Data Science Academy, completing a program in Data Science in 2018. This combination of academic training has equipped him with a solid foundation in data analytics and statistical methods.
Skills and Expertise
Emanuel possesses strong skills in R programming language, which he applies in his data science work. He has expertise in social media analytics and specializes in paid media and marketing. His professional background also includes a strong focus on business development, enhancing his ability to drive data-driven decisions.
Internship Experience
Emanuel gained valuable experience through various internships, including a Product Development Internship at Dom & Tom in 2017 and a Data Scientist Fellowship at NYC Data Science Academy in 2018. These roles provided him with practical insights into data science applications and product development processes.