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Prashant Dave, 545806 Maiden Ln, Bethesda, MD 20817

Prashant Dave Phones & Addresses

5806 Maiden Ln, Bethesda, MD 20817    301-2632894    301-4769925   

Washington, DC   

West Lafayette, IN   

Huntington Beach, CA   

2014 Peach Orchard Dr, Falls Church, VA 22043   

Irving, TX   

Stevensville, MT   

Midland, MI   

5806 Maiden Ln, Bethesda, MD 20817    301-2632894   

Work

Position: Executive, Administrative, and Managerial

Mentions for Prashant Dave

Prashant Dave resumes & CV records

Resumes

Prashant Dave Photo 34

Senior Operations Research Scientist

Location:
Washington, DC
Industry:
Hospitality
Work:
Marriott International
Senior Operations Research Scientist
Hilton Worldwide Sep 2010 - Mar 2012
Director Operations Research
Marriott International Mar 2003 - Aug 2010
Systems Consultant
I2 Technologies Apr 1998 - Feb 2003
Member Technical Staff
The Dow Chemical Company Dec 1996 - Mar 1998
Senior Research Engineer
Education:
Gw Investment Institute 2007 - 2010
Master of Science, Masters, Finance
Purdue University 1994 - 1996
Master of Science, Masters, Computer Science
Purdue University 1991 - 1996
Doctorates, Doctor of Philosophy, Chemical Engineering
Indian Institute of Technology, Kanpur 1987 - 1991
Bachelors, Bachelor of Technology, Chemical Engineering
Prashant Dave Photo 35

Prashant Dave

Skills:
Business Information

Publications & IP owners

Us Patents

Method And Apparatus For Measuring Revenue Performance For A Lodging Establishment

US Patent:
8321286, Nov 27, 2012
Filed:
Feb 4, 2004
Appl. No.:
10/770502
Inventors:
William McDaniel - Columbia MD, US
Tim Tenca - Germantown MD, US
Prashant Dave - Bethesda MD, US
David Nehme - Austin TX, US
Assignee:
Marriott International, Inc. - Bethesda MD
International Classification:
G06G 1/14
G06Q 20/00
G06Q 10/00
US Classification:
705 22, 705 5
Abstract:
Methods and apparatuses for calculating an optimal revenue total yield for both sleeping and function space in a hospitality establishment for a set of demand that includes both group and transient demands. In a preferred embodiment of the invention, the revenue optimization problem is characterized as a mixed-integer linear programming (MILP) problem and solved using MILP techniques. Preferably, a small value is assigned to the “cost” of a room upgrade and the cost of room upgrades are included in the revenue function to be optimized. In some embodiments of the invention, the actual revenue yield is compared to the optimum revenue yield.

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