Graduate Student - Sociology and Statistics - University of Pennsylvania
Data Analysis/Quantitative Methods
Structural Equation Models (EFA, CFA)
Mixed/Hierarchical Models/Long. Analysis
Machine Learning (Neural Networks, SVM, Random Forests, SGB)
Sample Survey Methods
Geographic Information Systems (GIS)
Programming Languages, etc.
Although not a computer scientist, I have considerable computer programming experience. My language of choice is R, thanks to its applicability and wide-spread use in statistics. Closely related to the S language, R integrates programs for linear and nonlinear modelling, statistical tests, time-series/panel analysis, classification, clustering, and graphics. It also contains extensive tools for data munging and machine learning. I also have experience with Python. Check out my scripts on github!