- Python / R / Stata / Matlab / Eviews - Vertica, Hadoop, SQL - Statistical modeling, extensive work in time series analysis: Markov Models, Regression, Monte Carlo Simulation - Machine Learning Algorithm development: Recommender Systems, Logistic Regression, Lasso/Ridge Regression, Decision Trees -Web Application Development: Flask, HTML/CSS

Data Scientist @ AppNexus technology powers the most innovative trading solutions and marketplaces for Internet advertising. It’s what the world’s most influential advertising and media companies build their businesses on, and what enables them to deliver the ads that deliver the content that people love. - Data Analysis at Scale - Algorithm Development - Database Manipulation From October 2013 to Present (2 years 3 months) Consultant @ Heitman Analytics has been North America’s most trusted mortgage reporting resource for more than 25 years. We provide financial professionals with the most accurate retail, wholesale, and correspondent mortgage rates, volume, fees, competitive intelligence analysis and reporting. From industry-wide data aggregation to specific topical and regional analysis of mortgage pricing, Heitman Analytics helps you make the most informed real-time lending and pricing decisions with the highest degree of certainty • Theorizes, designs and tests client specific econometric models to evaluate market elasticity and forecast volume response to pricing decisions for top 20 mortgage originators • Designs and modeled over 30 competitive intelligence reports targeted at executive level management to assist in pricing and product management specifically market share evaluation and price leadership response • Writes and publishes monthly market commentary on mortgage industry trends delivered directly to clients • Primary Analyst: “Competitive positioning and the use of Purchase Specials” a working paper to empirically evaluate market effectiveness of varying pricing strategies exhibited by the largest mortgage providers • Provides research specialty in: market price sensitivity, Competitor collusion, Competitor pricing simulation From September 2009 to October 2013 (4 years 2 months) Eugene, Oregon AreaAnalyst @ • Analyzed financing options for acquisition and construction of residential complexes targeted at low income buyers • Enhanced and expanded existing Net Present Value models to evaluate feasibility and required return of residential complexes while accounting for future interest rate and price fluctuation • Wrote and presented two multi-million dollar project proposals to executive team From June 2009 to September 2009 (4 months) Business Consultant @ Business Plan Development From March 2009 to September 2009 (7 months) Night Auditor @ Balanced Accounts Evening Manager Auditor From July 2008 to September 2009 (1 year 3 months)

BS, Finance, Economics @ University of Oregon From 2005 to 2009 MA, Econometrics @ University of Oregon From 2005 to 2009 Adam Petranovich is skilled in: Statistical Modeling, Product Management, Leadership, Analytics, Financial Modeling, Financial Analysis, Valuation, Corporate Finance, Analysis, Business Development, Economics, Loans, Market Analysis, Statistics, Econometrics, Python