Jim Eggers Email and Phone Number

More than twenty years of experience in reporting, analytics and statistical analysis. I firmly believe it is not about the analysis or technique, it is about end users understanding and actually using your results. I think it is better to run a correlation analysis that people understand and can use then a neural network they do not. The analysis is often the easy part, cleaning the data, presenting results succinctly, explaining results are the hard part...and the art. I am a strong proponent of open source technologies. I am continually learning new techniques in predictive analytics. Deep learning & natural language processing enthusiast. Applications/Programming Languages: SAS, SPSS, R, IBM/SPSS Modeller ("Clementine"), SQL, Weka, Orange Data Mining, TableauTechniques:• Regression Analysis (Linear and Logistic)• Multivariate Analysis (Cluster analyses, Principal Components Analysis, Factor Analysis, Discriminant Analysis)• Data Mining (Association Analysis, Support Vector Machine, Decision Trees (CART, C5.0, CHAID), ensemble learning, random forest, machine learning, neural networks, Naive Bayes).• Text Mining• Web Mining