Edmund E Freeman
|
1725 NE 115th Street |
(206) 362-5916 |
|
Seattle, WA 98125 |
efreeman@blarg.net |
Strong marketing analytic experience, both as a consultant and in-house.
Experienced with a broad range of advanced analytic techniques on large data sets.
Experience managing teams to excellent results in high-stakes projects.
Complete project skills, including design, analysis, management, and deriving business actions from the results.
VP, Statistical Modeling for Washington Mutual, October 2005 until present.
Manage a group of three modelers plus infrastructure contractors.
Oversee vendor projects to completion. The resulting system resulted in an estimated $220m a year in extra revenue.
Directed the model build for the RTP system. The resulting suite of models resulted in $62m extra revenue a year.
Statistical Risk Modeler for the Federal Home Loan Bank of Seattle, May 2004 to September 2005.
Managed mortgage research database and built foreclosure and prepayment models.
Designed and built a Monte Carlo simulation system for mortgage cash flow prediction.
Built a credit risk reporting package for the FHLB mortgage portfolio.
Built and managed a daily financial risk reporting data delivery system.
Is the company expert on statistical best practices.
Research Scientist for the Child Health Institute, November 2003 to May 2004.
Data analysis, data management, and data quality tasks for three ongoing projects.
Work with clinical and survey data.
Write methods sections and perform power calculations for grant writing.
Statistical Modeling Manager for AT&T Wireless, March 2001 to October 2003.
Full managerial oversight over a team of four other analysts.
Lead projects with as many as seven analysts.
Built a daily churn forecasting system accurate within 3%.
Built a customer Life Time Value system that radically changed the operating policies of AT&T Wireless and saved at least $30M a year in marketing costs, plus higher returns on programs.
Designed and lead the implementation of an analytic data mart for campaign analysis.
Lead the application of statistical understanding to the campaign process to ensure that campaign learning is maximized.
Identified over $12M in savings from ineffective programs.
Present findings to senior management.
Managed vendors to complete analytic projects.
Worked extensively with IS to complete projects.
Was the main company information source for statistics and data mining.
Discovery Consultant for NeoVista Software / Accrue Software, January 1997 to March 2001.
Built credit risk, fraud identification, attrition estimation, failure forecasts, customer segmentation, and retail optimization models using logistic regression, neural nets, decision trees, naïve Bayesian, factor analysis, and clustering methodologies, using credit, web log, point-of-sale, demographic, behavioral, and financial data.
Lead teams of analysts on projects.
Designed and implemented automated modeling software systems for neural nets, naïve Bayesian, and decision tree classifiers.
Designed and built data cleansing and inspection software tools.
Wrote and taught training sessions on the company’s software tools.
Wrote company guides for effective usage of the tools.
Participated in many pre-sales meetings to clients, and made many presentations to client management.
Was the main company information source for statistics and data mining methodology.
Statistician for Aetna Medicare, August 1995 to January 1997.
Lead the company shift from reactive, ad-hoc procedures to proactive, data driven procedures.
Designed and implemented analytic databases for policy analysis.
Created reports that were used throughout Aetna Medicare.
Identified over $250,000 in direct mis-billings through database searches.
Designed and developed software packages that were used company-wide.
Presented Medicare data in public forums.
Financial Report Writer for Bon Marche, August 1994 to August 1995.
Created, updated, and audited spreadsheet reports.
Wrote Visual Basic programs to automate report creation.
Assisted employees in the use of Excel and other software packages.
Teacher, University of Illinois at Urbana-Champaign, August 1989 to May 1994.
Developed materials for and taught Business Calculus, Advanced Calculus, and Linear Algebra (Linear Algebra included Linear Programming).
Teaching Assistant, University of Wisconsin-Milwaukee, August 1986 to May 1989.
Developed materials for and taught College Algebra.
Championing LTV at LTC, paper co-written with Gabor Melli, accepted for presentation at IEEE 2005.
Automated Exploratory Data Analysis for Efficient Data Mining, paper co-written with Jonathan Becher and Pavel Berkhin, presented at KDD-2000.
Organizational Information Systems and Technology Delegation, People-to-People Ambassador Programs, China, October 2000.
Researcher for Sustainable Seattle Indicators project. Researched issues. Analyzed data, and wrote articles.
Computer Experience: Programmed in SAS (10 years), Perl (6 years), Unix shell (4 years), SQL (8 years), PL/SQL (1 year), S (1 year), and Java (1 year). Used the SAS, DecisionSeries, S-Plus, and Minitab data analysis packages. Used the Unix, VAX, VMS, MVS, DOS, Windows, and Macintosh operating systems. Extensive experience with Excel, Word, Access, PowerPoint, StarOffice, and BusinessObjects.
Master of Science in Statistics, May 1994, University of Illinois at Urbana-Champaign.
All But Dissertation in Mathematics, University of Illinois at Urbana-Champaign.
Master of Science in Mathematics, May 1989, University of Wisconsin-Milwaukee.
Bachelor of Science in Mathematics, May 1984, University of Michigan.
Ed
Freeman Resume Page