Daniel Keidar
About Daniel Keidar
Daniel Keidar is a Data Scientist with a background in economics and mathematics. He has experience in various roles, including research assistant, data analyst, and senior analyst, and currently works at Known, focusing on technology's impact on society through data analysis.
Current Role at Known
Daniel Keidar has been employed as a Data Scientist at Known since 2021. In this role, he focuses on leveraging data science techniques to analyze and interpret complex datasets. His work emphasizes the intersection of technology and its societal impact, enabling organizations to make informed decisions based on data-driven insights.
Previous Experience in Data Science and Analytics
Prior to his current position, Daniel held various roles in data science and analytics. He worked as a Senior Analyst in Data Science & Engineering at MRM from 2018 to 2020. He also served as a Data Analyst at Dentsu Aegis Network for two months in 2017 and as a Media Analyst at VaynerMedia for six months in the same year. His experience includes applying advanced analytical techniques to derive actionable insights.
Educational Background
Daniel Keidar studied at Pace University, where he earned a Bachelor of Arts (BA) degree in Economics and Mathematics from 2013 to 2016. His academic background provides a strong foundation for his analytical skills and understanding of economic principles, which he applies in his professional work.
Early Career and Internships
Daniel began his career with several internships that contributed to his expertise in data analysis. He worked as a Software Intern at Coherent Logix, Inc. in 2014, and as a Marketing Intern at SocialCode from 2015 to 2016. These roles allowed him to gain practical experience in data handling and analytics, setting the stage for his future positions.
Technical Skills and Tools
In his data science work, Daniel utilizes programming languages such as Python and R for advanced data analysis and customer segmentation. He also employs data visualization tools like Tableau to present insights into customer behavior, enhancing the understanding of data patterns and trends.