Daniel Kannell

Daniel Kannell is a highly educated individual with a diverse academic background. He studied Data Science, Economics, Mathematics, and Philosophy at prestigious institutions like the University of California, Berkeley, Schreyer Honors College at Penn State, Pennsylvania State University, and The George Washington University.

During his educational journey, Daniel Kannell held various roles such as Graduate Student Instructor and Graduate Student Researcher at UC Berkeley, Intern in Economics at Amazon, Intern at Poverty Resolutions, Inc., Senior Research Assistant at the Federal Reserve Board, Intern at the U.S. Department of State, and Undergraduate Research Assistant at Penn State University.

His blend of knowledge in data science, economics, mathematics, and applied mathematics reflects his deep interest and expertise in quantitative analysis, research, and academia. With a strong foundation in economics and advanced degrees in various fields, Daniel Kannell brings a wealth of academic and professional experience to the table.