Paul Geiger
About Paul Geiger
Paul Geiger is a Program Analyst and Digital Media Specialist at MAXIMUS, with a diverse background in logistics, business intelligence, and sales.
Professional Experience at MAXIMUS
Paul Geiger currently holds the position of Program Analyst & Digital Media Specialist at MAXIMUS. In this role, he leverages his expertise in Adobe Creative Suite, specifically InDesign and Illustrator, to produce magazine-quality reports. Additionally, Paul employs R and R Markdown for generating automated reports that are linked to large datasets via SQL. His work involves applying statistical methods for high-level forecasting, prediction, and analysis.
Prior Role at InnerLoop LLC
From 2018 to 2019, Paul Geiger worked as a Consultant at InnerLoop LLC. During this period, he contributed his skills and expertise to various consulting projects, likely involving data analysis and digital media, aligning with his current professional focus.
Employment at Ryder Supply Chain Solutions
Paul Geiger served as a Shipment Management Coordinator at Ryder Supply Chain Solutions from 2013 to 2014. Based in Fort Worth, TX, his role involved coordination of shipments and supply chain logistics, contributing to the smooth operation and efficiency of transportation and delivery systems.
Educational Background at Virginia Tech
Paul Geiger completed his Bachelor of Arts at Virginia Tech, where he studied in the College of Liberal Arts and Human Sciences with a focus on International Studies and Business. His academic journey at Virginia Tech spanned from 2005 to 2008, providing him with a solid foundation in business and international affairs.
Technical Skills and Tools
In his professional capacity, Paul Geiger utilizes a variety of technical skills and tools. He is proficient in Adobe Creative Suite, specifically InDesign and Illustrator, used for producing high-quality reports. Additionally, he employs R and R Markdown for creating automated reports connected to large datasets via SQL. His role frequently involves applying statistical methods for forecasting, prediction, and data analysis.