I’m currently supporting reporting and analytics efforts related to stakeholder engagement. Using Power Platform, SQL, and other tools, I’m helping to improve Duke Energy’s engagement with customers in the Carolinas who are impacted by our infrastructure projects.
I created this website using R blogdown as a means to learn one of R’s many capabilities and to showcase my efforts and experience.
With a detail-oriented, technical mindset, I am the investigator that won’t stop until the solution is identified and the problem is solved. I’m an adventurer eager to be challenged by new things outside my comfort zone. I also strive to be a trusted advisor that can provide meaningful, honest information, feedback, and help for others. I value contribution, quality, and authenticity in one’s work and actions and I work to ensure I provide those myself.
Download ResumeBachelor's of Science, Mechanical Engineering Technology, 2005 - 2008
University of Dayton
Graduate Certificate, Project Leadership, 2014
Cornell University
Liaison for various lines of business; able to learn their language and translate their needs and requests into informative, actionable reports, dashboards, and visualizations
I provide support and input for data architecture, migration, and archiving activities
Employ my experience in Internal Audit to assist with the standardization of internal processes and documentation
Program and project experience includes:
Member of the Operations and Finance group within Corporate Audit Services
Assisted numerous different audit teams in planning, coordinating, and executing audit projects
Audit experience includes:
Led, or assisted with, several internal department initiatives
Dynamic position with a wide variety of day-to-day tasks and a significant level of responsibility, including:
Served as:
12-course program that covers the fundamental competencies of how to:
An early dashboard build that visualizes my daily coffee brewing.
My first shiny app. This simple app helps users find the top rated B Corps in a given industry.
Two machine learning prediction projects completed as part of my edX / HarvardX Data Science program.