Curious, hands on data-wrangler, statistician, and visualizer; Fascinated less with computers than with systems of people and the quantitative potshards and coprolites they leave behind; Interested in building useful empathetic tools in an iterative and data-informed environment. Writes clearly, thinks strategically, works methodically, and always digs deeper; Quick study on new technology; Goofy laugh.Toolkit evolving, but presently working with:- Python based tools for data analysis, management, processing, and visualization (iPython, pandas, matplotlib, numpy, scipy, etc.);- Database design, data modeling, data architecture, data integration, and ETL in an cloud-based linux server environment (AWS RDS and EC2);- Machine Learning tools and statistical techniques for data mining, prediction and model validation (pandas, numpy, scipy, statsmodels, scikit-learn, R, SPSS);- Static and web-based interactive visualization tools (d3.js, flask, chartio, ggplot, matplotlib, Illustrator, DataGraph) for communicating and reporting quantitative insights to right and left-brained folks alike;- Social media data from streaming and RESTful APIs (facebook, twitter, instagram, tumblr, pinterest, vine, and google+);- Social Network Analysis and graph theory tools (networkx, gephi, sigma.js) for identifying social communities and influencers;- Natural Language Processing tools for preprocessing text data for sentiment and topic modeling (nltk, scikit-learn);- Social Media listening tools (Crimson Hexagon, Radian6);- Media and web analytics tools (Google Analytics, Omniture, WebTrends) and research methodologies (segmentation, funnel analysis, retention, etc.) for generating media, UX, content and audience insights;- Syndicated financial and consumer research tools (Bloomberg Terminal, Thompson, MRI, comScore)