Michael Natenzon
About Michael Natenzon
Michael Natenzon is a Staff Data Scientist at Gemini with extensive experience in data science, materials engineering, and project leadership across various industries.
Title
Michael Natenzon holds the position of Staff Data Scientist at Gemini, having been promoted from his previous role as Senior Data Scientist at the same company.
Professional Experience at Gemini
Michael Natenzon currently works as a Staff Data Scientist at Gemini, a role he has held since 2023. Prior to that, he worked as a Senior Data Scientist at Gemini from 2021 to 2023. His work focuses on developing fraud detection tools and rules that have prevented $14.3 million in losses, and he has successfully reduced monthly realized fiat-fraud losses by 70% through strategic data analysis and tool development.
Previous Roles in Data Science
Michael Natenzon has extensive experience in data science roles. He served as a Data Scientist at the X-Lab Department of a Manufacturing Company in the New York City Metropolitan Area from 2020 to 2021. Prior to that, he held multiple roles at Johns Hopkins Whiting School of Engineering, including Data Scientist, Materials Engineer, and Project Leader from 2018 to 2019. Additionally, he worked as a Data Scientist at Johns Hopkins Biomedical Research Lab and Brain Signal Processing Lab from 2016 to 2017.
Academic Background
Michael Natenzon holds an MBA from The Johns Hopkins University - Carey Business School, with specializations in Entrepreneurship and Enterprise Risk Management, obtained between 2017 to 2019. He also has a Bachelor's degree in Materials Science and Engineering with a Nanotechnology Specialization from Johns Hopkins Whiting School of Engineering, completed between 2014 to 2019. Additionally, he earned an International Baccalaureate Diploma and a High School Diploma from Bergen County Academies from 2010 to 2014.
Technical Skills and Contributions
Michael Natenzon has developed over 10 web applications, which have garnered tens of thousands of page views, assisting clients in expanding their online presence and reducing costs. He has implemented ETL infrastructure in Azure Cloud, utilizing Python, SQL, DataBricks, and Azure Functions. He has also created dashboards using Looker and PowerBI, facilitating better decision-making for C-Suite executives and managers across various domains.