Data Scientist
Lisa Cannon is a Data Scientist with a Master’s degree in statistics from Sam Houston State University. Her Master’s thesis work was on Principal Component analysis of MIDI files. Another two years of graduate studies were competed at Southern Methodist University, where she conducted research on Hierarchical LinearModeling of education data. Lisa worked for CitiMortgage forecasting loan loss by means of decision trees and by developing a loan level default forecast model usinglogistic regression.
While at PROS Revenue Management, Lisa provided simulation and graphical analytics support to software customers by means of a Bayesian demand forecasting model.
While obtaining a certificate in Data Analytics from Rice University, she implemented linear regression analysis with the Murican Labs to determine the relationship between the percent of population vaccinated and life expectancy and infant mortality.
In her most recent work with Project Canueza, she created a loan level default forecast of Fannie Mae loans by finding the simplest model using only the most influential values and indicators to predict the likelihood of loan loss. Lisa is also an accomplished professional aerial dance performer and instructor.