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Sean P Geraghty, 638922 86Th St, Scottsdale, AZ 85258

Sean Geraghty Phones & Addresses

8922 86Th St, Scottsdale, AZ 85258    480-4834749   

10440 Dreyfus Ave, Scottsdale, AZ 85260    480-4834749   

Paradise Valley, AZ   

Manalapan, NJ   

31690 Glencoe Dr, Franklin, MI 48025   

Beverly Hills, MI   

Theodore, AL   

Houston, TX   

Carrollton, TX   

Monmouth, NJ   

Maricopa, AZ   

Work

Company: central states mortgage Address: 915 Harger Rd Phones: 630-7066405 (Office) 708-7154739 (Cell) 630-7066431 (Fax)

Mentions for Sean P Geraghty

Career records & work history

Real Estate Brokers

Sean Geraghty Photo 1

Lender

Specialties:
Purchase Loan, Refinancing, Home Equity
Work:
central states mortgage
915 Harger Rd
630-7066405 (Office), 708-7154739 (Cell), 630-7066431 (Fax)
Experience:
18 years
Description:
I've beena loan officer for 12 years, serving the credit union customer over most ofthose years. Our company is credit union owned and have great programs and service. Over the last few years we have expanded ourprogramsto the public, so you don't have to be a credit union member to take advantage of our products. Feel free to call me with your question withoutthe sales pitch...I feel if you don't become a customer now we will later.
Links:
Site

License Records

Sean J Geraghty

Licenses:
License #: E093615 - Expired
Category: Emergency medical services
Issued Date: Sep 13, 2012
Expiration Date: Sep 8, 2014
Type: Alameda County EMS Agency

Sean Geraghty resumes & CV records

Resumes

Sean Geraghty Photo 48

Co-Founder And Chief Wrangler

Location:
Phoenix, AZ
Industry:
Management Consulting
Work:
Wrangleworks
Co-Founder and Chief Wrangler
Pwc Jul 2013 - Jan 2018
Director
Price F(X) Jul 2013 - Jan 2018
Director, Pricing Science
Advanced Analytics Jul 2013 - Jan 2018
Principal
Vendavo 2008 - Jul 2013
Vice President, Pricing Science
Deloitte Jan 2006 - Aug 2008
Senior Manager
Khimetrics 2001 - 2006
Vice President and Principal Scientist
Education:
University of Houston 1983 - 1989
Doctorates, Doctor of Philosophy, Chemical Engineering
Skills:
Analytics, Pricing, Pricing Strategy, Business Intelligence, Segmentation, Management Consulting, Business Analytics, Competitive Analysis, Enterprise Software, Go To Market Strategy, Strategy, B2B, Product Management, Cross Functional Team Leadership, Business Analysis, Pre Sales, Market Analysis, Pricing Analysis, Predictive Analytics
Certifications:
Trifacta Wrangler Certification
Sean Geraghty Photo 49

Sean Geraghty

Sean Geraghty Photo 50

Sean Geraghty

Sean Geraghty Photo 51

Sean Geraghty

Sean Geraghty Photo 52

Sean Geraghty

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Sean Geraghty

Publications & IP owners

Us Patents

System And Methods For Calibrating Pricing Power And Risk Scores

US Patent:
8301487, Oct 30, 2012
Filed:
Mar 23, 2009
Appl. No.:
12/408868
Inventors:
Jamie Rapperport - Palo Alto CA, US
Jeffrey D. Johnson - San Francisco CA, US
Gianpaolo Callioni - Redwood City CA, US
Allan David Ross Gray - Menlo Park CA, US
Sean Geraghty - Scottsdale AZ, US
Vlad Gorlov - Park Ridge CA, US
Amit Mehra - Wheaton IL, US
Assignee:
Vendavo, Inc. - Mountain View CA
International Classification:
G06Q 99/00
US Classification:
705 735, 705 728, 705 732, 705400
Abstract:
A power and risk score calibrator is provided, which receives quantitative power and risk scores for each quantitative segment, and receives qualitative power and risk scores for each qualitative segment. The qualitative segment and the qualitative power and risk scores are defined by a user. The system generates consolidated segments. Then consolidated power and risk scores for each of the consolidated segments are generated, respectively. The gaps between the qualitative power and risk scores and the consolidated power and risk scores are reconciled. From these reconciliations, adjustment factors are generated, which are applied by pricing power and risk value calibrators. The system may also perform a drill down to explain the gap between the qualitative scores and the consolidated scores.

System And Methods For Generating Quantitative Pricing Power And Risk Scores

US Patent:
2009025, Oct 15, 2009
Filed:
Mar 23, 2009
Appl. No.:
12/408862
Inventors:
Jamie Rapperport - Palo Alto CA, US
Jeffrey D. Johnson - San Francisco CA, US
Gianpaolo Callioni - Redwood City CA, US
Allan David Ross Gray - Menlo Park CA, US
Sean Geraghty - Scottsdale AZ, US
Vlad Gorlov - Park Ridge NJ, US
Amit Mehra - Wheaton IL, US
International Classification:
G06Q 10/00
US Classification:
705 10
Abstract:
The present invention relates to a quantitative pricing power and pricing risk score generator and methods therefore, useful in association with an integrated price management system. Such a system may include a segment generator, a segment pricing power analyzer, and a segment pricing risk analyzer. The segment generator may receive or generate segments associated with a customer. Segment generation uses transaction level data which includes product attribute information, market data, and transaction history data. The segment pricing power analyzer and risk analyzer identify pricing power and risk factors, and assign raw scores to each factor, generates a weight for each raw score for each of the pricing power factors, and generates the quantitative pricing power and risk scores for each segment by computing a weighted average of the factors using the generated weights for each of the raw scores. Weights may be assigned according to default values or may be generated via an optimization.

System And Methods For Generating Price Sensitivity

US Patent:
2014000, Jan 2, 2014
Filed:
Jun 3, 2013
Appl. No.:
13/909068
Inventors:
Allen David Ross Gray - Menlo Park CA, US
Sean P. Geraghty - Scottsdale AZ, US
Vlad Gorlov - Park Ridge NJ, US
International Classification:
G06Q 30/02
US Classification:
705 735
Abstract:
The present invention relates to systems and methods for calculating a segment's sensitivity to price changes. A histogram distribution is generated for transaction frequency by price as the initial part of the sensitivity analysis. The shape of this histogram may be used to extrapolate a sensitivity measure. This can be done in two distinct ways: statistical regression or slope approximation. For statistical regression, the inverse of the cumulative distribution function is first calculated. The slope of this function is determined to be the sensitivity; the steeper the curve the more sensitive the segment is to price changes. The second technique approximates the slope of the right hand side of the histogram in order to determine sensitivity.

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