This analyst supported the development of cost estimating software tools at the Marine Corps Systems Command from 2012-2013. Some of their contributions included leading testing of software versions before release, overhauling equipment energy consumption data to improve cost estimates, and facilitating collaboration between cost estimation, engineering, and logistics teams to identify issues impacting cost estimates. They also proposed new initiatives to improve operations and support cost estimation using existing data sources and methods.
1. Marine Corps Systems Command
Operations Research Analyst (GS-1515) 2012-2013
As a member of the Operating & Support (O&S) Cost Improvement Team Cost and Analysis
Branch supported the development of the Logistics Funding Requirements Summary Cost
Estimating Tool (LRFS CET) software; successfully leading push for verification testing
before release to promote and ensure quality of software versions before delivery.
Overhauled Equipment Energy consumption data in a manner that allowed the LRFS CET
Energy Sub-Tool to display correct information and display correct energy estimates
without requiring software changes as well as creating a concept and designed database
Entity-Relationship diagrams for software or software modifications that would support
much more robust and pedigreed estimates of the energy needs of a single piece of
equipment or a portfolio of similar or dissimilar equipment across a representative use
case or range of environments.
Succeeded at cross-disciplinary communication assignment designed to integrate the Cost
Estimation community’s tasks with those of the Engineering and Logistics Community in
functional collaborative environment to support both Engineering Technical Reviews and
Integrated Logistics Assessments in order to facilitate identifying issues for a program’s
Cost Estimate.
Proposed numerous abstracts for new initiatives or improving O&S cost estimation through
existing data sources and new methods, with the participation of both the Logistics and
Engineering communities, including an approach to restore logistics data and logistics
technical data processes as well as methods of exploiting existing data sources to enable
initial Program Provisioning and Sparing estimations and research that would support pre-
programmatic cost estimation from existing data.