Randall Smith

For over 25 years, I have been providing a rare blend of data analytics and business expertise to Fortune 500 companies across a spectrum of industries, focusing on financial services, pharmaceutical, health care, insurance, web services, and CRM. I specialize in leveraging data and machine learning to solve complex business decisions with the goal of assessing risk, increasing sales, gaining market share, retaining customers, and saving money. In my data science and product management roles, I have become highly effective in working with cross-functional teams to expand business strategies into new applications and markets.

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Multivariate Linear Regression, Logistic Regression, Discrete Choice Modeling, Multinomial Logistic Regression, Probit Regression, Support Vector Machines, Machine Learning, Naïve Bayes, K-Nearest Neighbors, Decision Tree, CART, Random Forest, Boosting

Data Mining, Classification, Information Theory, Validation, A|B Testing, Hypothesis Testing, Web Scraping, Text Mining, Adaptive Conjoint Analysis

SAS, R, Octave, Python, SQL, UNIX

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