I’m a leading Boston-area predictive modeling guru with over 8 years of experience modeling and managing analytical development teams across a full spectrum of mathematical technologies and industries. I’m founder of the firm that ranks #1 on Google for “Predictive Modeling in Boston.” I am a certified SAS Programmer and certified SAS Predictive Modeler using Enterprise Miner. I also frequently present on predictive modeling in R. My greatest achievement was leading a multi-department, multi-institutional effort to construct a novel medical malpractice Enterprise Risk Management prototype usingSAS Enterprise Miner with custom coding for data mining models, SAS/STAT for statistical distribution computations, and Enterprise Guide for report generation.

CERTIFICATIONS
2009 Certified SAS Predictive Modeler
2009 Approved SAS Partner Demonstration Presenter
2008 Certified SAS Programmer 
2004 – Current MA-Certified Emergency Medical Technician: MA EMS ID: 878598

KEY SKILLS

• SAS Enterprise Miner
• SAS Enterprise Guide
• SAS Management Console
• SAS Multi-tier BI Implementations
• SAS Text Miner & Custom Code Nodes
• Professional Documenter & Speaker
• SAS, R, UNIX, SPSS, SQL, C#, VB, Python, PHP, MATLAB, MS Excel, MS Access
• Sales Engineer & SAS Demonstrations

PROFESSIONAL EXPERIENCE

Confidential, LLC 2010 - Present 
Founder

• Developed data mining models (GLMs and neural networks) to predict marketing targets for direct mail campaigns. ~16% of the prospect list yielded results expected by mailing the full list.
• Crowd-sourcing Technology Firm – Developed predictive & customer segmentation models (decision trees and GLMs) using web & salesforce.com data. Used text mining (term-document matrices with term roll-up) of web content to achieve ~50% more lift in predicting lead qualification.
• $6-Billion/yr Wall Street Finance. 1-year contract for production quant development using SAS/Base, SAS/STAT, SAS/GRAPH, R, Python, and Unix Shell Scripting in portfolio risk analytics. Contributions included reading and interpreting risk model specifications, writing production-level code to implement risk models into product, & collaborating on quality control with the goal of releasing fantastic risk analytics product.
• Founded Data Mining for Marketers – a Cambridge-based meetup (meetup.com) focused on analytics in marketing. Currently 200+ members. Most of my talks have received 5/5 stars by experts.
• Currently presenting on text mining of social media to track national sentiment towards political campaigns. Use K-nearest neighbor algorithms.

Confidential. 2007 – 2010 
SAS Analytics Practice Manager

• Helped build new SAS analytics department for 18-year old data consulting firm and helped lead it to achieving an approximate 1,350% increase in net revenue as measured between July 2007 and December 2009.
• Notable Contracts
• One of NY tri-state area’s Largest Malpractice Insurers: Working aside the VP and Chief Actuary of a large malpractice insurer, designed a novel medical malpractice Enterprise Risk Management System prototype in SAS. Used SAS Enterprise Miner, SAS/STAT, SAS/GRAPH, Enterprise Guide. Components built:
• Solution to predict probability of a physician making a mistake over the next year using parameter driven processes. Registered stored processes (parameterized macros) via Management Console.
• Solution to instantly price custom insurance products using simulation theory. Estimate reducing pricing time from 1 full actuarial day down to 7 seconds per request.
• Integrated Enterprise Miner with stored processes created from SAS code in two directions. Embedded Enterprise Miner models into Enterprise Guide nodes and SAS stored processes into Enterprise Miner.
• MA-Based Malpractice Insurer: Provided statistical training and led overhaul of SAS analytical modeling environment to support prediction of clinicians at-risk of malpractice in an entire MA-based Medical System. Provided training on switching from legacy code to Enterprise Guide.
• National Healthcare Regulatory Agency: Oversaw implementation of server-based Base SAS / Stat / Graph to support analysis and monitoring of healthcare data across the US.
• State Healthcare Contractor: Developed analytical reports to monitor CMS healthcare performance metrics for regulatory submission.
• Long-term Care Analysis Firm: Managed development of SAS Business Intelligence to support health risk forecasting and pricing. Designed SAS stored processes solution that reduced client pricing response time from 3 days down to less than 4 minutes by streaming simulation results into formatted reports for immediate dispersal to clients. Leveraged SAS ODS and SAS Add-in for MS to create PDFs and PowerPoints.
• Major RI Health Insurer: Led assessment and delivered report to guide the development of a new medical analytics department that uses predictive models to ensure consistent delivery of services and identification of high-risk members and providers.
• Direct Marketing Firm: Led SAS VDD implementation/ consulting to run enterprise mail order operation. Provided statistical guidance for estimating value of marketing campaign targets.
• Nationally-Recognized Newspaper: Managed implementation of multi-machine SAS Enterprise Miner installation and configuration on Solaris to support prediction of subscribers at-risk for not paying. Configured SAS Management Console to optimize multi-tier environment.
• Served as pre-sales engineer and lead on eight major consulting accounts, with 5/8 yielding repeat business.
• Lead designer of analytical demonstrations focused on SAS Enterprise Miner & Text Miner. Approved SAS Demo-er.
• Led 2008 Healthcare Analytics Conference at the SAS office in Boston’s Prudential Center. Co-presented with late industry-pioneer Dr. Patricia Cerrito on applications of text mining.
• Presenter at the 2008 BASUG meeting on predictive modeling. As a result of my presentation and demonstration of how to use text mining of clinician notes to predict patient outcomes, I was subsequently invited to speak as a guest at HESUG and Ingenix to audiences that exceeded 100 international analysts.
• Speaker at the 2008 New England Statistics Symposium and the 2008 New England Healthcare Analytics Conference.

Confidential. 2005 – 2007 
Director of Data Analytics

• Collaboratively led company from unknown with no clients to an emerging global provider of hospitality forecasting solutions in less than two years with clients that include Hyatt International, Sheraton, Starwood, Pan Pacific, etc.
• Founded & managed US East-Coast office in Bedford, NH. Oversaw proposals, implementations, and publications. As the result of a financial turn-around made possible, in part, by our forecasting technology, the Pan Pacific Hotel in San Francisco, CA sold for $95 million just three years after its purchase for $45 million.
• International Hotel/Motel & Restaurant Show 2006 Editors’ Choice Awards Finalist for “Innovation of the Year,” and most read article in Hotels Online for June 2008.
• Feature articles concerning my work and its industry impact have been published by others in top industry publications, such as the March 2007 issue of Food Service and Hospitality, the May 2007 issue of Hotels (Magazine of the Worldwide Hotel Industry), and the winter 2007 edition of the Cornell Hotel School magazine.
• The University of Denver Business School and NYU’s Tisch Center for Hospitality Management were reported to have incorporated our work into their respective academic programs.

Confidential 2004– 2005 
Statistics Course Material Developer / Mentor to Ph. D. Candidates

• Developed Hospitality Management Statistics course materials for the world-renowned school, teaching weekly recitation classes, grading, and holding office hours. Mentored Ph. D. candidates in Quantitative Methods using SAS.
  

EDUCATION
Bachelor of Science with Distinctions in Research & Teaching.
Double-Major in Statistics/ Biology

• Pertinent Coursework: Statistical Theory, Probability Theory, Statistical Methods I & II, Linear Algebra, Statistical Genomics & Bioinformatics, Calculus I, II, III.
• Used Base/SAS, SAS/STAT, SAS/GRAPH in performance of my honors thesis; accepted by the Department of Biological Statistics & Computational Biology.