Paul C. Cannon

796 GRIFFIN ST, REXBURG, ID 83440 ∙ (314) 556-2350 ∙ PAULCCANNON@GMAIL.COM

Work Experience

Data Science Faculty, Brigham Young University - Idaho, Jan 24-Present

  • Equip undergraduates to become legendary in Data Science-related careers and cultivate sound thinkers able to navigate an industry in constant flux

Visiting Faculty, Brigham Young University - Idaho, Sep 21-Dec 23

  • Teaching Data Science Programming (Python and R) and Statistics

Global Manufacturing Excellence Manager, May 20-Aug 21

  • Drive adoption and integration of new analytics in Global Vegetables Production

Senior Data Science Lead; Bayer, Oct 19-May 20

  • Engage with unit leads and scientists globally to influence key decisions impacting the Product Supply
  • Drive development and adoption of predictive analytics in Global Seed Production Innovation

Manufacturing Technology Analytics Lead; Monsanto/Bayer, Apr 16-Oct 19

  • Lead core team of Data Scientists to develop and implement data-driven technologies in manufacturing globally
  • Global Seed Technology, Statistician and Six Sigma Lead; Monsanto, Jun 12-Apr 16
  • Provide statistical expertise to Global Manufacturing
  • Lead instructor for training Six Sigma Black Belts

Statistician/North America Six Sigma Lead; Monsanto, Aug 07-Jun 12

  • Manage Six Sigma program and training in North America; continuous improvement project management; mentor trainees

World Health Organization (WHO), Temporary Adviser, Jan-Aug 07

  • Advised WHO statisticians on use of a new methodology for the Study on Global Aging and Adult Health

Statistician, BYU Brain Imaging Lab; Dept. of Psychology, Oct 06-Aug 07

  • NIH grant investigating neuropsychological abnormalities in Autistic patients
  • Tutored PhD candidates and consulted on dissertations

Research Assistant

  • Statistical Natural Language Model and authorship identification

Teaching Assistant, Brigham Young University, Statistics Department 4 Years;

  • Stochastic Processes, Statistical Computing, Multivariate Methods, Engineering Statistics

Statistical Clerk, US Department of Energy, Washington DC, May-Aug 04

  • Energy Information Administration (EIA) Statistics and Methods Group

Skills

Predictive Modeling:

  • Machine Learning with scikit-learn and TensorFlow+keras in Python
  • Multivariate methods, hierarchical models, generalized linear mixed models, supervised and unsupervised learning in R

Data organization and manipulation:

  • Python Pandas, R Tidyverse

Data Visualization

  • seaborn, plotly, altair in Python
  • GGPlot in R

Statistical Design

  • Experimental Design, Six Sigma

Certifications and Honors

  • Bayer Science Fellow
  • Bayer Product Supply Senior Expert
  • Six Sigma Master Black Belt

Education

  • Brigham Young University
    • MS Statistics 2008, GPA: 3.81
    • BS Statistics, Business Management minor
  • Joint Program in Survey Methodology Junior Fellow, University of Michigan/University of Maryland, Summer 2004
Back to top