Brendan Herger Hergertarian.com | 13herger@gmail.com | + 1 (415) 582-7457 1209 Page Street No. 7 San Francisco, Ca 94117 Selected Experience Data Scientist Data Innovation Lab @ Capital One (San Francisco, Ca.) 06/15 - Now Lead research team modeling for fraud problem space with class imbalance & adversaries; H2O.ai, GraphLab, SKLearn Deployed sub-millisecond real time model; Apache Apex Recommended distributed machine learning frameworks for general adoption at Capital One; H2O.ai, GraphLab, Apache Spark Various Technical Positions Lawfty (San Francisco, Ca.), RevUp Software (Redwood City, Ca.), Perkins + Will Architecture (San Francisco, Ca.) & Lawrence Berkeley National Lab. (Berkeley, Ca.) Front End Supervisor The Home Depot Pro (Colma, Ca.) 05/11 - 03/13 Positions held: Cashier, Special Services Assoc., Tool Rental Assoc. Supervised and trained a staff of 10-30 team members Education MS, Analytics University of San Francisco, July 2015 Relevant Coursework: Machine Learning, Adv. Machine Learning, Data Acquisition, Exploratory Data Analysis, Relational Databases, NoSQL Databases, Linear Regression Analysis, Time Series Analysis, Intro. SAS BS, Physics University of San Francisco, May 2014 Minors: Computer Sciences, Mathematics Honors: University Scholar, President of ΠΜΕ Math Honors Society Relevant Coursework: Software Development, Data Structures & Algorithms, Differential Eqn.’s, Linear Algebra, Graduate Econometrics Personal Projects Identified genre of Billboard Hot 100 songs using ensemble algorithm built with Support Vector Machine, Neural Network, Stochastic Gradient Boost, and Random Forest algorithms; Python, Pandas, R and Scikit-Learn Implemented Naive Bayes text classification algorithm and trained this algorithm to correctly label 83% of movie reviews; Python, numpy and Pandas Created database containing lyrics of Billboard Hot 100 songs since 1958; R, Python, Pandas and Beautiful Soup 4 Built a multi-threaded web scraper and search engine with web user interface; Java, MySQL and HTML5/CSS Built resume parsing package which extracts text, finds contact details, and checks for required keywords; Python and Pandas Online Hergertarian.com github.com/bjherger linkedin.com/in/bjherger hergertarian.wordpress.com/