Lucker P'14, P'16 Talks Careers
Posted on Monday, January 28, 2013
John Lucker P'14, P'16, a principal and partner of Deloitte Consulting LLP, will be at the Colleges on Thursday, Feb. 7 to deliver a presentation titled "Two Hot Careers for a Liberal Arts Graduate: Insurance and Consulting." The talk, which is free and open to the public, will begin at 7:30 p.m. in Trinity 305.
The following morning, Friday, Feb. 8, Lucker will host one-on-one appointments from 9 a.m. to 2 p.m. in Trinity 109. All HWS students are invited to schedule an individual meeting with Lucker by contacting The Salisbury Center for Career Services and Professional Development at email@example.com.
Lucker is Deloitte's Global Advanced Analytics and Modeling Market Leader and a leader for Deloitte Analytics. He also is a leader of Deloitte's Advanced Analytics and Modeling practice, one of the leading analytics groups in the professional services industry.
Lucker provides clients with end-to-end strategy, business, operational and technical consulting services in the areas of advanced business analytics, predictive modeling, data mining, scoring and rules engines, and numerous other advanced analytic business solution approaches. Lucker's clients are in many industries, including insurance, banking and financial services, retail, consumer products, telecomm, healthcare, life sciences, media, and hospitality, among others.
Lucker, who earned a B.A. and M.B.A. from the University of Rochester, has developed numerous unique advanced analytic business solutions and methods, as well as the technical implementation tools to realize the latent value of the solutions.
He often speaks about these topics for industry and professional organizations, and frequently writes for a variety of publications. In addition, Lucker is a co-inventor of U.S. Patent 8,036,919 for a "Licensed Professional Scoring System and Method," U.S. Patent 8,145,507 for a "Commercial Insurance Scoring System and Method," U.S. Patent 8,200,511 for a "Method & System for Determining the Importance of Individual Variables in a Statistical Model," and has two other predictive modeling patents pending.