Shawn Duffy serves as an Adjunct Faculty member and Capstone Advisor at Portland State University's School of Business, where he leverages his extensive expertise in data analytics and business intelligence to shape the next generation of data-savvy professionals. With a robust background in leading data...
Shawn Duffy serves as an Adjunct Faculty member and Capstone Advisor at Portland State University's School of Business, where he leverages his extensive expertise in data analytics and business intelligence to shape the next generation of data-savvy professionals. With a robust background in leading data engineering practices, Shawn is adept at translating complex data concepts into actionable insights, making him an invaluable resource for graduate students in Business and Finance. His current role involves developing and teaching innovative coursework in Data Visualization, a critical skill in today’s data-driven landscape.
In addition to his teaching responsibilities, Shawn acts as a Graduate Capstone Advisor for the Applied Data Science for Business program, guiding students through real-world projects that require a deep understanding of data integration, ETL processes, and data modeling. His commitment to enhancing the curriculum is evident in his development of undergraduate coursework in Data Visualization and Storytelling, which is now taught by other instructors each term. Shawn's hands-on approach ensures that students not only grasp theoretical concepts but also gain practical experience in creating impactful dashboards and reports using tools like SAP and Crystal Reports.
His multifaceted expertise encompasses financial planning and analysis, payroll systems, and invoicing, reflecting his previous role as a Partner/Owner at Axian. This blend of academic and industry experience positions Shawn as a leader in the field, equipping students with the skills necessary to excel in business intelligence and data analytics. Through his mentorship, Shawn is fostering a new generation of professionals who are ready to tackle the challenges of a rapidly evolving data landscape.
