Data-intensive software development
Last active: 05/13/2013
I have been developing software for data-intensive applications for over 15 years.
My experience includes business intelligence, data warehousing, Key Performance Indicator reporting, dashboards, Service Level Agreement tracking, application monitoring, recommendations, targeting, fraud prevention, risk analysis, optimization, machine learning, data mining, predictive analytics, funnel analysis, A/B tests, instrumentation, web analytics, and legacy code repair.
Technologies I love include Ruby, Python, MySQL, MongoDB, RSpec, Jenkins, Capistrano, CodeClimate, git, R, Weka, SPSS, Hadoop, AWS, S3, star schemas, ETL, refactoring, KISSmetrics, Google Analytics, Omniture, and agile processes.