Emmett Smith

Emmett Smith is an experienced associate system engineer at SAS, contributing to transitions from SAS 9.4 to SAS Viya and enhancing Python report generation efficiency. Prior roles include RQS application developer at SAS, where significant improvements in tax report processing were made, a data analytics intern at Lincoln Financial Group, where a modeling project led to optimized IT resource allocation, and an economics research assistant at Colby College, focusing on electrification impacts through geographic data analysis. Additionally, Emmett undertook a marketing data analyst internship at OHO Interactive, providing vital reporting and data visualization for digital marketing efforts. Emmett Smith holds a Bachelor's degree in Computer Science with a concentration in AI and Statistics from Colby College, complemented by additional educational experiences at Harvard Extension School and Brown University.