I'm a data scientist with a background in quantitative psychology, which makes me a rare bird and a valuable asset to data-driven companies. Here's how that happened: During my graduate work in experimental psychology, I became proficient in statistics and quickly started finding jobs that allowed me to hone my craft. Those experiences, combined with the ability to take classes for free, provided the perfect opportunity to become an expert in statistical methodology. In the past few years, I've found that my background in experimental psychology has been a huge advantage. That's because I'm able to clarify what my clients want and how we can best achieve those goals. I also am extremely skilled at adapting analyses to the needs of an experiment and my communications skills are far superior to other statistical consultants. Throughout my varied experiences, I’ve gathered a rich combination of skills that few other researchers will ever acquire in their lifetimes. I've previously published in peer-reviewed journals, including The American Journal of Public Health, Biological Psychiatry and the Biology of Mood and Anxiety Disorders.

Fellow @ + The Incubator program is extremely selective, with an acceptance rate less than five percent. + Intensive program designed to give advanced data science training to PhD level STEM scientists. + Covered regularization, web scraping, machine learning, natural language processing. + Utilized distributed computing techniques, including MapReduce and Spark. From March 2015 to June 2015 (4 months) Greater New York City AreaConsulting Data Scientist @ + Analyzed geolocation data for use in financial services. + Utilized R and SQL to perform clustering, regression, and mapping. + R packages included ggplot, ggmap, hclust, kmeans, and caret. From October 2014 to March 2015 (6 months) Manhattan, New YorkData Science Consultant @ As a Data Science consultant, I provide data-driven reports, focusing on statistical inference and predictive validity for businesses and research institutions. My clients have included 1010Data, MIT, Tufts University, Columbia University and NYU medical. Data Science Services: Common statistical analyses include Gradient Boosting Classifiers, Random Forests, OLS regression, logistic regression, poisson regression, structural equation modeling (SEM), factor analysis, principal components analysis (PCA), latent class analysis (LCA), ARIMA models, and unobserved component modeling. Research Design Services: A good study design is one of the most overlooked components in any data analysis and controlling for nuisance variables is much easier at this stage. In the past, I've designed surveys, conducted A/B testing, or even full experiments designed to evaluate a new product or technique. From November 2012 to March 2015 (2 years 5 months) Brooklyn, NYGraduate Research Assistant @ From September 2007 to July 2012 (4 years 11 months) Teaching Assistant @ From September 2007 to May 2012 (4 years 9 months) Research Assistant @ From January 2004 to May 2006 (2 years 5 months)

General AssemblyDoctor of Philosophy (Ph.D.), Psychology @ Tufts University From 2007 to 2012 Bachelor's Degree, Neuroscience @ Trinity College-Hartford From 2002 to 2006 Reid Offringa is skilled in: Python, R, Predictive Modeling, Data Visualization, Research, Statistics, Data Analysis, Teaching, Experimental Design, Qualitative Research, Research Design, Survey Design, Neuroscience, Mplus, Clinical Research, Data Collection, PowerPoint, University Teaching, Psychology, Program Evaluation, Molecular Biology, Science, Public Health, Writing, Editing, Grant Writing, Scientific Writing, SPSS, Machine Learning, General Linear Models