4777 Grouse Run Dr, Stockton, CA 95207 • 2094514443
2176 Canyon Creek Dr, Stockton, CA 95207 • 2094729823
Healdsburg, CA
2041 Olivera Rd, Concord, CA 94520 • 9258253361
Larkspur, CA
Richmond, CA
Elk Grove, CA
Roseville, CA
Lodi, CA
4777 Grouse Run Dr APT 141, Stockton, CA 95207
Work
Company:
Cascade capital management
Aug 2013
Position:
Data analyst (contract)
Education
School / High School:
University of San Francisco- San Francisco, CA
2013
Specialities:
MBA in International Business
Skills
Financial modeling • risk analysis • asset valuation • cost / benefit analysis • financial statement analysis • research analysis • team development • coaching • contract negotiation • real estate practice • Title IV funding requirements • non-profit grant writing • customer service • problem solving.
Kaushik Subramanian - Fremont CA, US Stuart Aitken - Pleasanton CA, US Jonathan Quinn - San Mateo CA, US
Assignee:
Safeway, Inc. - Pleasanton CA
International Classification:
G06Q 99/00
US Classification:
705 27
Abstract:
The present application discloses systems and methods for managing nutritional information which in some embodiments comprises a database coupled to a central processor, a storage module configured to store in the database a plurality of records comprising loyalty card data for products purchased with a loyalty card and nutritional information for products available for purchase with the loyalty card, and a plurality of records relating to after sale product information. These systems and methods may further comprise a data processing module configured to compare products purchased with a loyalty card with the after sale product information, and determine if there are conflicts and an output module for transmitting results, wherein the central processor is configured to generate a report based upon the information found in the storage module.
Adaptable Retail Pricing Environment And Electronic Exchange, Delivering Customized Retailer Opportunity Rewards And Discounts
David Edward Thomas - Dublin CA, US Jonathan G. Quinn - San Mateo CA, US Michael Robert Minasi - Burlingame CA, US Michelle Marian - San Ramon CA, US Mir Mohammad Aamir - Danville CA, US Tamara Ruth Pattison - Berkeley CA, US
International Classification:
G06Q 30/00 G06Q 10/00
US Classification:
705 729
Abstract:
An individualized discount and reward server includes one or more linked databases to store customer data associated with a loyalty program of a retailer. The server includes a processor to select a retail product purchased at least once by a loyalty customer. The processor determines, from at least a purchase history associated with the loyalty customer, an amount the loyalty customer spends on the selected retail product and an amount each customer from a plurality of customers forming a peer group spends on the selected retail product. Further, the processor compares the amount the loyalty customer spends on the selected retail product to the amount the peer group spends on the selected retail product to form a comparison result and allocate at least one customized offer to the retailer account according to at least the comparison result.
Adaptable Retail Pricing Environment And Electronic Exchange, Delivering Customized Mobile Shopper Rewards And Discounts
DAVID EDWARD THOMAS - Dublin CA, US JONATHAN G. QUINN - San Mateo CA, US MICHAEL ROBERT MINASI - Burlingame CA, US MICHELLE MARIAN - San Ramon CA, US MIR MOHAMMAD AAMIR - Danville CA, US TAMARA RUTH PATTISON - Berkeley CA, US
International Classification:
G06Q 30/00
US Classification:
705 1423
Abstract:
A mobile device including one or more linked memories to store a mobile application and customer data, the mobile application downloaded from a rewards server associated with a retailer, the customer data associated with a loyalty program of the retailer. The mobile device further includes a processor to display the mobile application via the user interface. The processor displays a log-in page permitting a customer to access at least one retailer account associated with the customer and displays a purchase price, via the mobile application, for at least one product associated with the retailer. The processor updates, upon reception of the customer input indicating selection of a payment option, the at least one retailer account to indicate a deduction of the displayed purchase price from at least one payment account.
David Edward Thomas - Dublin CA, US Jonathan G. Quinn - San Mateo CA, US Michael Robert Minasi - Burlingame CA, US Michelle Marian - San Ramon CA, US Mir Mohammad Aamir - Danville CA, US Tamara Ruth Pattison - Berkeley CA, US
International Classification:
G06Q 30/00
US Classification:
705 1425
Abstract:
An individualized discount and reward server includes one or more linked databases to store customer data, where the customer data includes at least one retailer account and purchase history associated with the customer. The server includes a processor to allocate at least one customized offer to the retailer account using at least the purchase history associated with the customer, where the at least one customized offer includes a loyalty adjustment changing a general market price point of a product in accordance with the customized offer. The processor redeems the customized offer upon receiving a purchase notification. The customized offer is redeemed by associating the product with the loyalty adjustment independent of the general market price point associated with the product at a time of reception of the purchase notification.
Adaptable Retail Pricing Environment And Electronic Exchange, Delivering Customized Buyer Promotion Rewards And Discounts
David Edward THOMAS - Dublin CA, US Jonathan G. Quinn - San Mateo CA, US Michael Robert Minasi - Burlingame CA, US Michelle Marian - San Ramon CA, US Mir Mohammad Aamir - Danville CA, US Tamara Ruth Pattison - Berkeley CA, US
International Classification:
G06Q 30/00
US Classification:
705 1425
Abstract:
An individualized discount and reward server includes one or more linked databases to store customer data associated with a loyalty program of a retailer. The server includes a processor configured to select a retail product from a plurality of retail products associated with the retailer. The processor determines a first percentage indicating a percentage of time the loyalty customer purchases the selected retail product on promotion, and determines a second percentage indicating an average percentage of time a plurality of customers forming a peer group purchases the selected retail product on promotion. Further, the processor determines a comparison result by comparing the first and second percentages. Additionally, the processor allocates at least one customized offer to the retailer account associated with the loyalty customer according to at least the comparison result.
Adaptable Retail Pricing Environment And Electronic Exchange, Delivering Customized Buyer Promotion Rewards And Discounts
David Edward THOMAS - Dublin CA, US Jonathan G. QUINN - San Mateo CA, US Michael Robert MINASI - Burlingame CA, US Michelle MARIAN - San Ramon CA, US Mir Mohammad AAMIR - Danville CA, US Tamara Ruth PATTISON - Berkeley CA, US
International Classification:
G06Q 30/00
US Classification:
705 1425
Abstract:
An individualized discount and reward server includes one or more linked databases storing customer data including at least one retailer account and purchase history associated with the customer. The server including a processor to allocate at least one customized offer to the retailer account using at least the purchase history associated with the customer, the at least one customized offer including a loyalty adjustment changing a general market price point of a retail product in accordance with a competitor price. The processor further displays to the customer, via the interface, a display page including the at least one customized offer and an option for selection of the at least one customized offer. The processor also updates, upon reception of the customer input indicating selection of the at least one customized offer, the retailer account to indicate selection of the at least one customized offer.
Adaptable Retail Pricing Environment And Electronic Exchange, Delivering Customized Brand Switching Rewards And Discounts
David Edward THOMAS - Dublin CA, US Jonathan G. Quinn - San Mateo CA, US Michael Robert Minasi - Burlingame CA, US Michelle Marian - San Ramon CA, US Mir Mohammad Aamir - Danville CA, US Tamara Ruth Pattison - Berkeley CA, US
International Classification:
G06Q 30/00
US Classification:
705 1425
Abstract:
An individualized discount and reward server including one or more linked databases to store customer data associated with a loyalty program of a retailer, where the customer data including at least one retailer account and purchase history associated with a customer. The server further includes a processor to select a brand associated with an allocation category and determine an amount the customer spends on the allocation category. The processor determines a likelihood of brand switching indicating a likelihood of the customer purchasing the selected brand according to the purchase history associated with the customer. The processor also allocates one or more brand switching offers for the selected brand to the at least one retailer account associated with the customer for the selected brand based on at least the amount the customer spends on the allocation category and the likelihood of brand switching.
Stuart Aitken - Pleasanton CA, US Warren Lee - Mountain View CA, US Kaushik Subramanian - Fremont CA, US Jonathan Quinn - San Mateo CA, US
Assignee:
Safeway, Inc. - Pleasanton CA
International Classification:
G06Q 30/00
US Classification:
705 14
Abstract:
In one embodiment, computerized systems and methods for nutritional planning are disclosed that may comprise providing a database coupled to a central terminal, storing in the database a plurality of records comprising nutritional information related to products available for purchase using a loyalty profile, and associating in the database the nutritional information with products purchased using the loyalty profile. These systems and methods may further comprise identifying deficiencies in a nutritional profile and displaying products which compensate for deficiencies.
Canyon Construction Company - Durango, Colorado since Aug 2011
Lead Laborer
The Ski Surgeon Aug 2010 - Jun 2011
Store Manager
Real Estate Equity Loans, Inc. Mar 2007 - Nov 2009
Executive Loan Officer
Education:
Arizona State University 2003 - 2005
Crespi Carmelite High School 2000 - 2003
High School Diploma
Aug 2013 to 2000 Data Analyst (Contract)ITT Technical Institute Concord, CA Jul 2010 to Jul 2012 Finance Team LeadThe Nines Team at Keller Williams Realty Stockton, CA Oct 2008 to Jul 2010 Business AnalystSeniors First Inc. Stockton, CA Feb 2007 to Jul 2008 Development Analyst
Education:
University of San Francisco San Francisco, CA 2013 to 2015 MBA in International BusinessUniversity of San Francisco San Francisco, CA 2012 to 2014 Masters of Science in Financial AnalysisUniversity of the Pacific Stockton, CA 2004 to 2007 Bachelors of Arts in Finance and Real Estate
Skills:
Financial modeling, risk analysis, asset valuation, cost / benefit analysis, financial statement analysis, research analysis, team development, coaching, contract negotiation, real estate practice, Title IV funding requirements, non-profit grant writing, customer service, problem solving.
Youtube
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Googleplus
Jonathan Quinn
Lived:
Marin, CA Sacramento, CA Stockton, CA
Education:
University of San Francisco - Financial Analysis, University of the Pacific - Finance
Relationship:
Engaged
Jonathan Quinn
Education:
Erie Community College - Communications
Jonathan Quinn
Education:
North Park University - Sociology
Bragging Rights:
Rescued a group of 14 lost people in the Amazon. Wore a cape to the 1987 Oscars
Jonathan Quinn
Jonathan Quinn
Jonathan Quinn
Jonathan Quinn
Jonathan Quinn
Flickr
News
In Caleb Williams, will the Bears finally find their next franchise quarterback?
Hohensee, Steve Bradley, Jim Harbaugh, Peter Tom Willis, Will Furrer, Steve Walsh, Erik Kramer, Dave Krieg, Rick Mirer, Steve Stenstrom, Moses Moreno, Shane Matthews, Cade McNown, Jim Miller, Chris Chandler, Henry Burris, Kordell Stewart, Rex Grossman, Craig Krensel, Chad Hutchinson, Jonathan Quinn
The Redskins have won the past seven meetings between these two teams, dating back to 2004, when Bears quarterback Jonathan Quinn (yes, Jonathan Quinn) went 10-of-22 for 65 yards in a 13-10 Skins victory. Jay Cutler threw four interceptions in a 17-14 loss to the Skins in 2010. Matt Barkley threw fi
to acquire more than its lowly average of 5.1 yards per play. Despite that awful number, the Jets still are over a yard ahead of the Bills, who manage just 4.0 per play. No team has averaged less since the 2004 Bears, led by Chad Hutchinson, Craig Krenzel, Jonathan Quinn and Rex Grossman. #SexyRexy
Date: Nov 08, 2018
Category: Headlines
Source: Google
Here's Matt Nagy's cheat sheet for his first Bears press conference
ears fans can handle the truth. I mean, theyve handled the McCaskeys and Phillips and Fox and Dowell Loggains and Marc Trestman and Phil Emery and Mel Tucker and John Shoop and Jonathan Quinn and Craig Krenzel and Cade McNown and Jay Cutler and Lovie Smith saying Rex is our quarterback. And more
After a series of forgettable backups under Lovie Smith - Caleb Hanie or Jonathan Quinn, anyone? - the Bears signed McCown when Cutler was hurt 2 years ago. He played well enough then to stick around, and his familiarity with his receivers and coach Marc Trestman's system was evident. McCown may not
Date: Nov 05, 2013
Category: Sports
Source: Google
Houston Texans 13, Chicago Bears 6: A Critical Reassessment
It would still go on in the pouring rain even after Cutler was sidelined, and it wasn't pretty. The Bears lost on Sunday because Jason Campbell was bad -- not Caleb Hanie/Craig Krenzel/Jonathan Quinn bad, but not good enough to score the single touchdown the Bears needed to tie the game. Such is li
Over the final 20 minutes, the Bears scored 35 points. Forget any concerns over the Bears playing down to their level of competition against a Jaguars team that looked like a 2-14 team quarterbacked by the second coming of Jonathan Quinn. Overlook the silly, destructive mistakes Gabe Carimi made on
Date: Oct 07, 2012
Category: Sports
Source: Google
Instead of bumbling Tyler Palko, Caleb Hanie's Bears might have to deal with ...
I know what Hanie is: He is a lot better than Kansas Citys Tyler Palko. To put it in perspective for Bears fans, Palko walks among Jonathan Quinn, Craig Krenzel and Chad Hutchinson in the Land of Bad.