John Sammis
About John Sammis
John Sammis serves as the Senior Vice President at CCS Fundraising, where he leads the Data Analytics practice and applies advanced data analytics tools to support nonprofit organizations in their fundraising efforts. With over 30 years of experience in statistical analysis and predictive modeling, he has dedicated more than 15 years to helping charities and other nonprofits achieve their fundraising goals.
Work at CCS Fundraising
John Sammis has served as Senior Vice President at CCS Fundraising since 2021. In this role, he leads the Data Analytics practice, focusing on applying advanced data analytics tools to help organizations achieve their specific objectives. He previously worked as a Senior Data Scientist at CCS Fundraising from 2019 to 2021, where he utilized predictive AI and statistical modeling to enhance fundraising efforts for various nonprofits.
Education and Expertise
John Sammis holds an MBA from Cornell University - S.C. Johnson Graduate School of Management, which he completed from 1989 to 1991. He also earned a degree in Chemical Engineering from Clarkson University, studying from 1981 to 1985. With over 30 years of experience in statistical analysis and predictive modeling, he has developed expertise in exploratory data analysis, interactive model building, model diagnostics, and data vetting and cleaning.
Background
Before joining CCS Fundraising, John Sammis held multiple roles at GORGES, serving as CEO from 2012 to 2019 and as COO from 2009 to 2012. His earlier career included a position as a Systems Engineer at IBM in New York City from 1986 to 1989. His extensive background in data analytics has allowed him to assist charities, universities, hospitals, and other nonprofit institutions in achieving their fundraising goals.
Achievements
Throughout his career, John Sammis has dedicated over 15 years to supporting nonprofit organizations through data analytics. He is actively involved in data analytics projects that focus on developing customized and actionable fundraising strategies. He explains how nonprofits can leverage predictive modeling to identify new major gift prospects, enhancing their fundraising capabilities.