Aetna
Underwriting Consultant
Aetna Feb 2006 - Mar 2010
Underwriting Specialist
Aetna Feb 2004 - Feb 2006
Underwriting Analyst
Aetna Sep 2001 - Mar 2004
Plan Benefit Consultant
Aetna Jan 2000 - Sep 2001
Medical Recovery Financial Consultant
Education:
Gwynedd Mercy University 2011 - 2015
Bachelors, Business Administration, Management, Business Administration and Management
Skills:
Reinsurance Brokers Property and Casualty Insurance Insurance Health Insurance Underwriting Claim Commercial Insurance Commercial Lines Casualty Claims Management Liability Life Insurance Workers Compensation Customer Service General Insurance Team Building Analysis Risk Management
Julie Castle - Raleigh NC, US Anne Loh - Flushing NY, US Carl Johnson - Cinnaminson NJ, US Bijukumar Krishnapillai - Edison NJ, US Sharon Scanlon - Hoboken NJ, US
Assignee:
Barclays Capital Inc. - New York NY
International Classification:
G06Q 10/00
US Classification:
705 30
Abstract:
A system and method provide transparency of costs allocated to a unit of an organization. The method includes steps to receive asset information for an application at a cost transparency engine and identify a direct dependency of the application and an indirect dependency of the application using the asset information for the application. An infrastructure cost for the application is determined based on the direct dependency, the indirect dependency, component consumption by the application, and a unit cost of a service supporting the component. A report is generated, via a reporting tool, presenting the infrastructure cost for the application.
Providing Navigation Functionality In A Retail Location Using Local Positioning Technology
- Charlotte NC, US Davindar Gill - Palatine IL, US Sharon Scanlon - Manahawkin NJ, US
International Classification:
G06Q 30/02 H04W 4/02
Abstract:
Methods and systems for providing navigation functionality in a retail location using local positioning technology are presented. In some embodiments, a customer assistance computing platform may receive one or more attributes associated with a beacon signal received by a customer computing device and an identifier associated with the customer computing device. Subsequently, the computing platform may determine an identity of a customer using the customer computing device. The computing platform then may determine a location of the customer using the customer computing device based on the one or more attributes associated with the beacon signal. Thereafter, the computing platform may generate one or more navigation instructions to guide the customer to another location. Then, the computing platform may send the one or more navigation instructions to the customer computing device.
Managing Customer Queues Using Local Positioning Technology
- Charlotte NC, US Don Cardinal - San Antonio TX, US Sharon Scanlon - Manahawkin NJ, US Davindar Gill - Palatine IL, US
International Classification:
G06Q 10/06
Abstract:
Methods and systems for managing customer queues using local positioning technology are presented. In some embodiments, a customer assistance computing platform may receive one or more attributes associated with a beacon signal received by a customer computing device and an identifier associated with the customer computing device. Subsequently, the computing platform may determine an identity of a customer using the customer computing device. The computing platform then may determine a location of the customer using the customer computing device based on the one or more attributes associated with the beacon signal. Thereafter, the computing platform may select at least one queue from one or more maintained queues based on the location of the customer. Then, the computing platform may update the at least one selected queue based on the identity of the customer to add the customer using the customer computing device to the at least one selected queue.
Configuring A Computing Device Using Local Positioning Technology
- Charlotte NC, US Don Cardinal - San Antonio TX, US David M. Grigg - Rock Hill SC, US Sharon Scanlon - Manahawkin NJ, US
International Classification:
G06Q 20/32 H04W 4/02
Abstract:
Methods and systems for configuring a computing platform using local positioning technology are presented. In some embodiments, a customer assistance computing platform may receive one or more attributes associated with a beacon signal received at the customer computing device and an identifier associated with the customer computing device. Subsequently, the computing platform may determine an identity of a customer using the customer computing device. The computing platform then may determine a location of the customer using the customer computing device based on the one or more attributes associated with the beacon signal. Thereafter, the computing platform may receive one or more configuration instructions based on the identity of the customer. Then, the computing platform may be configured based on the one or more configuration instructions.
- Charlotte NC, US Sharon Scanlon - Manahawkin NJ, US Davindar Gill - Palatine IL, US David M. Grigg - Rock Hill SC, US
International Classification:
G06Q 20/32 H04W 4/02 G06Q 30/00
Abstract:
Systems, methods, apparatuses, and computer-readable media configured to determine a location of a user, identify the user and provide additional services based on the determined location and/or identity are provided. In some examples, the identity of a customer may be determined based on detection of a signal by a personal computing device of the customer. One or more associate users associated with that customer may be identified and a location of the associate user may be transmitted to the customer user. In other examples, a category of an identified customer may be determined and an associate user equipped to work with that determined category of customer may be identified.
Providing Targeted Advertising Using Local Positioning Technology
- Charlotte NC, US Sharon Scanlon - Manahawkin NJ, US Don Cardinal - San Antonio TX, US David M. Grigg - Rock Hill SC, US
International Classification:
G06Q 30/02 H04W 4/04
Abstract:
Methods and systems for providing targeted advertising using local positioning technology are presented. In some embodiments, a customer assistance computing platform may receive one or more attributes associated with a beacon signal received by a customer computing device and an identifier associated with the customer computing device. Subsequently, the computing platform may determine an identity of a customer using the customer computing device. The computing platform then may determine a location of the customer using the customer computing device based on the one or more attributes associated with the beacon signal. Thereafter, the computing platform may select, based on the identity of the customer and the location of the customer, advertising content to be presented to the customer using the customer computing device. Then, the computing platform may send the selected advertising content to one or more recipient computing devices.
Providing Navigation Functionality In A Retail Location Using Local Positioning Technology
- Charlotte NC, US Davindar Gill - Palatine IL, US Sharon Scanlon - Manahawkin NJ, US
International Classification:
G06Q 30/02 H04W 4/02
Abstract:
Methods and systems for providing navigation functionality in a retail location using local positioning technology are presented. In some embodiments, a customer assistance computing platform may receive one or more attributes associated with a beacon signal received by a customer computing device and an identifier associated with the customer computing device. Subsequently, the computing platform may determine an identity of a customer using the customer computing device. The computing platform then may determine a location of the customer using the customer computing device based on the one or more attributes associated with the beacon signal. Thereafter, the computing platform may generate one or more navigation instructions to guide the customer to another location. Then, the computing platform may send the one or more navigation instructions to the customer computing device.
Predicting And Responding To Customer Needs Using Local Positioning Technology
- Charlotte NC, US Sharon Scanlon - Manahawkin NJ, US Kim Stittsworth - Charlotte NC, US David M. Grigg - Rock Hill SC, US Davindar Gill - Palatine IL, US
International Classification:
G06Q 30/06 H04W 4/02 G06Q 20/32
Abstract:
Methods and systems for predicting and responding to customer needs using local positioning technology are presented. In some embodiments, a customer assistance computing platform may receive one or more attributes associated with a beacon signal received by a customer computing device and an identifier associated with the customer computing device. Subsequently, the computing platform may determine an identity of a customer using the customer computing device. The computing platform then may determine a location of the customer using the customer computing device based on the one or more attributes associated with the beacon signal. Thereafter, the computing platform may determine one or more predicted needs of the customer. Then, the computing platform may generate a notification based on the predicted needs of the customer and may send the notification to the customer computing device.
Dr. Scanlon graduated from the Georgetown University School of Medicine in 1986. She works in Chevy Chase, MD and specializes in Internal Medicine. Dr. Scanlon is affiliated with Suburban Hospital.
Sharon Scanlon, a 22-year breast cancer survivor, and her daughter Tatia George participated in their eighth and sixth race respectively, while Georges daughter, Katy Smith, 11, went on her first race.