In the course of my professional and research experience, I have become proficient with a variety of computational tools and geospatial data analysis methods and programs. This has allowed me to model natural systems, identify and explore global patterns and phenomena, QA/QC data, ensure high quality and accurate data collection, and graphically represent analytical results, improve workflows, and efficiently manage large amounts of data. 
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Statistical Analyses

ANOVA/ANCOVA
Regression/Correlation
Logistic Regression
Generalized Linear Mixed Models
Cluster Analysis
Hierarchical Partitioning
Bayesian Statistics
Machine Learning


                                                          Graphics Examples from R and Python 
                                              (some labels have been changed for proprietary reasons)