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Profile Details
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USD 150 /hr
Hire Dr. Miguel V.
USD 150 /hr

Ph.D. Statistician with extensive experience in Data Science. Expert in R, Python and SPSS/SPSS Modeler.SPSS

Profile Summary
Subject Matter Expertise
Writing Technical Writing
Data & AI Statistical Analysis, Data Visualization, Big Data Analytics
Work Experience

Professor & Director Advanced Analytics Institute

Universidad Anahuac

October 2016 - Present

Cognitive Solutions Executive / Associate Partner

IBM Mexico

April 2014 - September 2016

Reengineering Director


September 2011 - December 2012

O&T Director for Credit, Risk and BI


October 2006 - August 2011

Consulting Services Partner and Director

Bufete Consultor Mexicano

October 2004 - September 2006

Consulting Principal

IBM Mexico

April 1997 - September 2004

Director Consulting Services

Coopers & Lybrand Consulting

June 1994 - March 1997

General Manager

Grupo Arco Iris

September 1992 - May 1994

Statistical Methods / Total Quality Manager

General Motors Corporation

July 1989 - August 1992

Senior Research Scientist

General Motors Corp

July 1989 - August 1990

Assistant Professor

Oakland University

July 1986 - June 1989

Senior Research Scientist

IBM Mexico

July 1984 - June 1986

Assistant Professor

Temple University

August 1983 - June 1984


Ph.D. (Statistics)

University of Wisconsin

August 1978 - May 1983

B. Sc. (Actuarial Sciences)

Universidad Nacional Autónoma de México

August 1974 - June 1978

  • Certification details not provided.
Villalobos, M. A. (1980). Statistical Methods for the Analysis and Quantification of Irregular Tire Wear. GM Research Lboratories, MA-7120.
Villalobos, M.A. (1990). Graphical Mean and Variance Analysis versus Signal to Noise Ratios for Parameter Design. GM Research Laboratories GMR-7120.
Lorenzen, T. J. and Villalobos, M. A. (1990). Understanding Robust Design, Loss Functions and Signal to Noise Ratios. GM Research Laboratories, GMR-7118.
Villalobos M.A. and Whaba G. (1983), Multivariate Thin Plate Spline Estimates for the Posterior Probabilities in hte Classification Problem. Communications in Statistics, Theory and Methods, Vol. 12, No. 13, pp. 1449-1479.