David Karamardian
About David Karamardian
David Karamardian is a Member of Technical Staff at Norm AI, with a diverse background in data science and consulting. He has held various roles at notable organizations including Mastercard, Meta, and Stanford University.
Current Role at Norm AI, Inc.
David Karamardian serves as a Member of Technical Staff at Norm AI, Inc. since 2023. His role involves contributing to the development and implementation of technical solutions within the organization. Based in New York, New York, he brings a diverse background in data science and consulting to his current position.
Previous Experience at Mastercard Data & Services
David Karamardian worked at Mastercard Data & Services in various capacities. He served as an Associate Consultant from 2019 to 2021, where he engaged in data-driven projects. In 2021, he took on a role as a Consultant for a duration of five months in New York, New York, focusing on enhancing business strategies through data analysis.
Internship Experience at Meta
In 2022, David Karamardian completed a three-month internship as a Data Scientist Intern at Meta in New York, New York. During this internship, he gained practical experience in data analysis and machine learning, contributing to projects that leverage data for decision-making.
Education and Academic Background
David Karamardian holds a Master of Science in Statistics from Stanford University, where he studied from 2021 to 2023. He also earned a Bachelor's Degree in Politics and Economics from Duke University, along with a Certificate in Philosophy, completing his studies from 2015 to 2019. His educational background provides a strong foundation in analytical and quantitative skills.
Research Assistant Roles
David Karamardian has held several research assistant positions. He worked at the Stanford Intelligent Systems Laboratory from 2022 to 2023 for nine months, contributing to research projects. Additionally, he served as a Research Assistant at CodeX, The Stanford Center for Legal Informatics, for five months in 2023. His roles involved applying machine learning and data analysis techniques in various research contexts.