Daniel Friedman
About Daniel Friedman
Daniel Friedman is a Quantitative Developer at QuantCo in the San Francisco Bay Area with a background in statistics and economics from Harvard University.
Title
Daniel Friedman is a Quantitative Developer currently working at QuantCo in the San Francisco Bay Area.
Previous Positions
Daniel Friedman has previously held several roles, including Teaching Fellow at Harvard University where he taught Statistics 111 from 2019 to 2020 and Economics 1010a in 2018. He also interned as a Machine Learning Intern at G Street Analytics in 2019, a Data Analyst Intern at Bly and Bly in 2018, and an Intern at the Michigan Democratic Party in 2017. Additionally, he served as a Staff Writer for the Harvard Political Review from 2016 to 2018.
Education and Expertise
Daniel Friedman studied at Harvard University, where he earned a Bachelor's degree in Statistics and Economics from 2016 to 2020. Prior to attending Harvard, he completed his high school education at Huron High School from 2013 to 2016.
Research and Development Projects
During his tenure at G Street Analytics, Daniel Friedman developed a machine learning model that improved data processing efficiency by 20%. He also contributed to a research paper on statistical methods published during his time at Harvard University. At a hackathon organized by Harvard University, he and his team won first place for developing an innovative data visualization tool.
Professional Contributions
Daniel Friedman presented a paper on economic modeling at the 2019 American Statistical Association conference. He has also volunteered as a mentor for undergraduate students in the Harvard Statistics Department, providing guidance and support to budding statisticians.