Ernesto L Garcia C
|About Yourself / Bio||
Ernesto Luis Garcia Contreras is an engineer that adds value to any organization through process improvement, management science, operations research, data science/machine learning/ business intelligence, mathematical modeling, and statistical analysis.
Ernesto has supported large and small organizations in Asia, Europe, and the Americas. He lectures on subjects of production and manufacturing systems, quality engineering, operations management, machine learning, and statistical analysis at different universities in the world.
Ernesto is a faculty member at Florida State University, in charge of capstone design for Industrial and Manufacturing Engineers at FAMU-FSU College of Engineering. He is also the Managing Director of Appaloosa Engineering, a consulting company specializing in applied optimization, data science, and process improvement.
Ernesto graduated from Instituto Tecnologico y de Estudios Superiores de Monterrey (ITESM) with a bachelor's in Mechanical and Electrical Engineering. He holds a Master's in Business Administration, and a Master’s in Managerial Economics from EGADE-ITESM. As a Fulbright scholar, he received a Ph.D. in Industrial Engineering from the University of Missouri-Columbia.
Ernesto has been the chair of the American Society for Quality (ASQ) section 1506 in Jacksonville, FL. member of the Supply Chain Council, and the Management Council at the University of North Florida’s Business School (Coggin College of Business), and member of the Industrial and Manufacturing Engineering Advisory Council at FAMU-FSU College of Engineering. He is also a volunteer for Statistics Without Borders.
You can reach Ernesto at (904) 206-1839.
|Address||Fernandina Beach, FL, US|
|Current Position||Teaching Faculty II|
|Current Organization||FAMU-FSU College of Engineering|
|Years of Experience||20+|
|Operational Excellence Experience & Interests|
|Expertise||I create value working with teams applying technologies in Process Improvement, Industrial engineering, Manufacturing, Management Science/Operations Research, Data Science, Statistical Analysis, and Change Management.|