Mignon Edorh is a Certified Information Systems Security Professional (CISSP), project manager (PMP) and AWS Certified Security Specialist and Solution Architect with many years of experience in cloud platform system architecture, security compliance assessment, FISMA/NIST 800 Series compliance, Risk Management, Security impact analysis, and Contingency planning.
As a cloud platform subject matter, Mrs. Edorh worked with various clients and resources owners to understand their needs and developed project roadmaps which documented expected results and timeline of projects’. Mrs. Edorh works with many government agencies to support their cloud infrastructure’s optimization efforts and saved government agencies millions of dollars and time. Prior to working with the government, Mignon supported AWS with front end customers’ support and problem resolutions. Mignon also supports her client with tracking and managing identity and assets for optimal management reporting and accurate inventory.
Julian Dabla is a professional data analysts in finance, accounting and business with more than fourteen combined years of experience in both Private and Public Sectors, collecting, analyzing and conducting visualization to draw insights from big data and improving business processes.
Mr. Dabla obtained his master’s in data Analytics Engineering (with a concentration in Business Analytics) from George Mason University and a Bachelor of Science in Business Management. He is currently Advanced Analytics and Automation Consultant at Guidehouse since 2018 and has supported since then major US Agencies (FEMA, DHS, MHS and DOJ) on multiple projects conducting Financial Management Operations and Operation enhancements.
As a data and business analytics professional, Mr. Dabla comes with several years of experience supporting public and commercial clients. Mr. Dabla helps many government agencies enhance their business and operating processes, leveraging new technologies to enable visibility in every business area, collaborating, automating repetitive tasks and helping drive efficient and effective data -driven decisions.