Mr. Roque Graciani is a Senior Operations Research Analyst for CANA Advisors. Mr. Graciani is responsible for applying military and logistics experience, data science techniques and operations research/statistical methods to support various projects. He is currently supporting the Logistics Plans & Operations branch of Installations and Logistics, Headquarters Marine Corps as a War Reserve and readiness subject matter expert. In this position he assesses, analyzes and addresses USMC readiness with a focus on manpower, training, facilities, equipment, supply and maintenance drivers as well as provides War Reserve Program expertise. Mr. Graciani is currently a member of Military Operations Research Society (MORS) and has contributed to work presented in a previous MORS event (2017). 

Mr. Graciani has 22 years of military experience, 12 years of experience as a U.S. Marine Corps Logistics Officer and over 9 years as an operations research practitioner. He is very skilled in data analysis, data mining, relational databases, statistical analysis, simulation, optimization and possesses strong skills in R programming, applied statistics, data visualization methods, with the acumen to quickly learn new software applications. Mr. Graciani has experience in providing analysis supporting senior level decision making to the highest levels of United States Marine Corps Logistics (Installations & Logistics, Headquarters Marine Corps Pentagon and Marine Corps Logistics Command). He has also provided technical oversight as project manager or team member to sponsored/contracted studies and analyses, verifying and validating models as required. 

Mr. Graciani has refined an improved method to estimate consumable inventories for the Marine Corps War Reserve Program using Standard Query Language, R Programming and cloud-based solutions that utilize web application programming interfaces. He also designed and developed a personnel forecasting tool using Markov Chains and R programming to inform hiring decisions made by senior leadership. The results of the model visually displayed graphs depicting personnel turnover within the next five years, allowing leaders well needed lead-time to seek replacements. This model/methodology was briefed at the 85th Military Operations Research Society Symposium in 2017. 

Mr. Graciani has created analysis and tools in support of cost estimation. Specifically, he has developed a Care of Supplies in Storage (COSIS) cost estimate methodology/model that utilizes advanced statistical classification methods to provide an improved budget estimate for Marine Corps Logistics Command’s Storage actions, a cost in the tens of millions of dollars per year. He also designed and developed a cost estimate and capacity tool using advanced statistical techniques for an $80M per year Maritime Prepositioning Program. The tool allowed decision makers the ability to rapidly adjust schedules and observe its impact on labor requirements and overall costs. This model was used as a prototype and its methodology incorporated into a Marine Corps wide Prepositioning Program modeling initiative.