Problem Solver

Jeff Grover

Areas Jeff Grover is Knowledgeable in:

Soybean classification, finance and economic optimization, other classification problems.

Techniques Jeff Grover Uses:

I employ Bayes' theorem and Bayesian Belief Networks as well as standard statistical techniques.

Jeff Grover's Problem Solving Skills:

  1. Bayesian Belief Networks

Jeff Grover's Problem Solving Experience:

  1. --Market valuation of luxury homes in a commune Rancho Fe, California.

    --As a financial engineer, determined the return on investments of a potential project to show the value of a program from a marketing perspective by implementing a cost based analysis for the U.S. Army.

    As an educator, recommended college credit as a service evaluation team member for ALEKS Corporation and several government organizartion;

    Consulted with the U.S. Bankruptcy Courts (PACER) Systems' National Level office to obtain individual Chapter 11 bankruptcy data for the Honors Program, Central Michigan University;

    As a financial analyst, conducted empirical statistical research to determine over tax payments

    As an educator, constructed MBA finance graduate level curriculum Development and Implementation.

    Conducted public firm liquidity basis analysis for the US Air Force, Air Force Program Executive Officer Command and Control & Combat Support Systems.