BUSINESS DEVELOPMENT INTERN Summary Obtain position analytics data science I enable data-driven decision-making help leaders solve problems. Highlights Proficient using Statistical Analysis Software (SAS), R, SAS Data Miner, SQL, Relational Databases, Microsoft Office programs. *Experienced statistical analyses, sampling techniques, research design, C-level presentations, professional writing skills. Experience Business Development Intern 05/2013 Current Company Name City State Enabled precision micro-targeting bid optimization Search Engine Marketing (SEM) zip-code level AutoTrader's clients. Used SAS R produce interactive choropleth Google map tracks page views, Sales, Market Share page views per client, identifies potential areas opportunity SEM marketing. Haystak Digital Marketing, AutoTrader company, estimates project increase revenues $3.5 million annually. Statistical Consultant 10/2012 12/2012 Company Name Used correlation procedure SAS analyze Zillow.com data housing attributes 141 homes Virginia Highland community determine Dekalb County's appraisals faulty statistically sound, led residents winning case county court. Statistical Consultant 05/2012 01/2013 Company Name City State Performed statistical analysis survey research concerning educational preferences students born post 1982 comparison students age groups. Found statistically significant differences chosen majors millenials non-millenials race using ANOVA T-test procedures SAS. Accomplishments Smart Search Engine Marketing" Summer 2013 Used SAS R analyze Sales, Vehicle Detail Page (VDP) counts, Market Share VDP counts, automotive brand, demographics, geography zip code. This determined zip codes micro-target Search Engine Marketing (SEM) Haystak Digital Marketing, rather marketing solely based 10 mile distance IP address dealership. The project estimates earn Haystak potential $3.5 million annual revenues. Using Logistic Regression Determine Credit Scores" Spring 2013 Used scoring, correlation, SQL, logistic procedures SAS 2.5 million record dataset Compucredit produce logistic regression model classify consumers "good" "bad" credit risks based 16 significant predictors. The model generates approximately $114k profit per 1,000 individuals scored. Homelessness Georgia" Fall 2012 Performed multiple linear regression using regression procedure SAS predict counts homeless persons per county Georgia. Lottery Sales per Person" found significant predictor. Education Bachelor Science Sociology Statistics May 2013 Kennesaw State University City State GPA: GPA: 3.45 GPA: 3.45 Sociology Statistics Skills automotive, C, com, Credit, client, clients, IP, marketing, Market, Microsoft Office programs, optimization, Page, predict, presentations, profit, Relational Databases, research, research design, Sales, SAS, sound, SQL, Statistical Analysis, professional writing, zip Additional Information HONORS AND ACTIVITIES Eagle Scout, Boy Scouts America President's List: Fall 2011, Fall 2012, Spring 2013 President, Alpha Kappa Delta Honor Society Sociology, Spring 2013 Study Abroad Program Paris Romania, Summer 2011