Speaker "Nery Castillo-Mcintyre" Details Back



Simplicity: Building a Winning Model with Open Source Tools


It is easy for data scientists to obsess over the fastest, greatest, latest, bestest, and other superlative software, but effective data science can also be done using simple algorithms. In this presentation, Nery will discuss how he and his teammate outperformed more than 300 data scientists around the world to win a predictive analytics competition using simple open source tools.


An attorney by license, data analyst by trade, and writer by vocation, Nery was first introduced to the field of predictive analytics through a number of guest columns that attempted to predict match outcomes on the basis of fighters' historical statistical data for his mixed martial arts blog in Spanish. Not long after, Nery started learning analytics in earnest, contributing to the winning entry to CrowdANALYTIX's employee attrition competition along the way. After three years as a stay-at-home dad, Nery rejoined the workforce as a Human Resources Reporting Analyst for SanDisk, where his primary responsibilities include developing predictive models for employee performance, change, and attrition.