Sam Edgemon Email and Phone Number

HighlightsDeveloped the SAS Approach for Enrollment Management for New and Continuing Students – this approach features a novel approach that succeeds where traditional methods fail-> Identified “At-Risk” Students-> Identified relevant Gateway Classes-> Estimated Class Seats (how many seats needed next term for specific classes)-> Transfer Student Analysis-> Developed “Decision Metrics” for New Students based on Application DataWorked with US Olympic Team to choose team based on analytical fact.Developed the "Star System" approach used by Collegiate Athletic Departments to increase Fan Engagement, Sell More Tickets, and Increase Donor Activity (new and current donors).-> Schools have stated substantial ticket sales (5,000 new season ticket buyers)-> Potential Donors are Identified-> Current Donors are OptimizedActed as "Director of Analytics" for the Department of Homeland Security's initiative to create a multifaceted biological surveillance system capable of detecting both natural and unnatural biological events – this work was reviewed by President Obama. Multiple agencies stated that the system surfaced outbreaks of disease faster than any other.Highlights:--> developed models that analyze data in real-time (manufacturing process)--> developed 56 up- and cross-sell models for premier car rental companies--> developed the ADM and 22 propensity-to-buy models for a large utility company--> developed Credit Risk models for an auto finance company--> developed a vendor management system for an insurance company--> developed a market basket analysis for large retailer using machine learning techniques--> developed path analysis for large bank using SAS Visual Analytics and Hadoop========================================Developed a course for the SAS Institute entitled "The SAS Model Factory."Was recognized as a "Volunteer Star" for external efforts regarding animal rescuesWas recognized with the "Cheers Award" for work with JMP Software

Developed risk models for several products: HELOC, Dealer Finance (Auto), Marine, and Unsecured loans. Developed the "Know Your Customer" Business Intelligence database. Used SAS on all projects.Highlight: Taking the initiative to develop the "Know Your Customer" database filled a significant void regarding customer intelligence.

Developed attrition and acquisition models using transactional (card) data. Developed the consumer purchase index, customer-value based segmentations, and a system of flagging "silent" attrition that was based on sudden shifts in purchase behavior (identified candidates for attrition before the went "out the door")The TSYS data warehouse manages approximately half the credit card transactions in the United States. This series of "Big Data" projects was completely accomplished with efficient SAS programming.Highlights--> The Consumer Purchase Index enabled a near "real-time" image of the economy--> developing the "silent attrition" method gave actionable insights into intentions of customers "before" they became an attrition statistic

Managed external vendors. Developed acquisition models. Designed and implemented customer satisfaction and loyalty initiatives. Used SAS to pull data from multiple data resources, develop models, and the ensuing graphics for presentations.Highlight: Led the effort to implement an analytically sound, decision-driving customer intelligence system that combined advanced modeling, survey data, and "silent shopping" data.

Developed "propensity to respond" models. Developed a method to enhance "B2B" opportunities utilizing clustering algorthms. Created "First Call Resolution" initiative that identified multiple opportunities for Call Center improvements.Highlight: the "First Call Resolution" initiative vastly improved Call Center performance.

Designed, developed and validated predictive risk models. Developed and designed the consumer risk database. Managed other quantitative analysts.Highlight: Developed the system for validating the bank's commercial risk models.

Statistical analysis for pharmaceutical companies. Built models to determine the effectiveness of drugs.Highlight--> Clinical data is "Big Data" in every respect - teaching the staff how to access data efficiently was considered a "game change" for Premier--> helped pharmaceutical companies to asses drug effectiveness using clinical data

Research and analysis on clinical data.Highlight: Used SAS Intranet software to present findings via the Internet (a big deal in 1999).

Developed risk models regarding Automobile loans and leases - and entire division of 200 people was built on this foundational work. Responsible for strategic planning.Highlights: Accredited with "saving the Automobile loan and lease business" at the bank. Designed the Consumer Risk database.

Analysis of consumer marketing for card customers.

Managed Department of Defense and Department of Energy projects. Supported Army, Navy and Air Force on projects in Europe and the Middle East. Environmental impact studies. "Q" cleared.Highlight: worked on the TOW missile project.