Taylor Alexander Hines 845 Sutter St. Apt. 308 San Francisco CA 94109

(831) 359-6429 tayhines@yahoo.com Education University of California Berkeley: Bachelor of Arts in Statistics and Economics May 2015 • Honors: Distinction in General Scholarship (3.82 GPA), Phi Beta Kappa, Dean’s Honors • Courses: Linear Modeling, Machine Learning, Real Analysis, Behavioral Economics, Econometrics,

Stochastic Processes, Time Series, Structure and Interpretation of Computer Programs Qualifications

• Strong quantitative statistical abilities producing unique and insightful interpretations of data • Skilled in research, data gathering, modeling, inference and illuminating graphical representations • Proficient developing programs for cleaning, analyzing, and visualizing data using statistical and

general languages such as R, Python, and STATA, as well as experience with SQL, ggplot, and Pandas • Excellent verbal and written skills facilitating the communication of complex and technical ideas • Proven track record of strong leadership and initiative in corporate, non-profit, and educational settings

Recent Experience

Compass Lexecon, Oakland, CA July 2015 – Present Analyst • Perform qualitative and quantitative research for use in economic expert reports in support of litigation,

mergers, and regulatory matters, primarily in areas of anti-trust, competition, and licensing • Experience working with Fortune 500 clients in varied industries, e.g. telecom, technology, and biotech • Draft research memos summarizing industry background and case materials, e.g. depositions • Locate, assess, clean, and merge large scale datasets for various case related analyses • Synthesize large amounts of data into clear and concise summaries using statistical software • Perform economic and statistical analyses, including regression, simulation, distribution analysis, event

studies, market share and price calculations using computing software (STATA and Excel) • Create clear and convincing charts, tables, and graphics for senior staff, clients, and final expert reports • Present economic and statistical results to non-technical audiences, including clients and council • Extensively audit all work product in an environment where total accuracy is paramount

Projects

Machine Learning Final Project: SMS Text Spam Filter Fall 2014 • Constructed and assessed SMS Text Spam filters using various feature sets and classification models • Developed fast and efficient Python parser to record word frequencies and power features in text data • Segmented and delegated project sub-tasks among four person team, ensuring timely progress • Generated SVM and Random Forrest classification models using word frequencies and power features

(patterns useful in identifying Spam messages, e.g. currency symbols, phone numbers, and websites) • Evaluated model performance using confusion matrices, sensitivity analyses, and ROC curves Programming with Data Final Project: National Obesity Trends Fall 2013 • Led a team of four students, facilitating development of project as well as division of labor • Assessed and compiled large public data sets, settling on 175 variable, 3000 County USDA Food Atlas • Oversaw and managed each phase of project including data cleaning, analysis, and visualizations • Performed project analysis, constructing a highly significant multivariate regression model • Generated numerous graphical displays including national heat map, 3-D and bivariate plots

Interests

• Avid reader, passionate home cook, urban cyclist, live music enthusiast, and committed Snowboarder