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Peter Rene Paradis, 743986 Bolinas Pl, Discovery Bay, CA 94505

Known as:
Peter R Paradis Peter Te Paradis Peter A Paradis Hubers Peter Paradis Pete R Paradis Peter R Hubers Peter P Hubers Peter Paracis Peter Paradis-Hubers Peter R Peter S

Peter Paradis Phones & Addresses

3986 Bolinas Pl, Discovery Bay, CA 94505    925-6268942   

3951 Mylinda Dr, San Jose, CA 95132    408-2598827   

Newbury Park, CA   

Manhattan Bch, CA   

Santa Clara, CA   

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Peter Paradis resumes & CV records

Resumes

Peter Paradis Photo 31

Peter Paradis

Location:
San Jose, CA
Industry:
Financial Services
Work:
Sci Solutions Oct 1999 - Jan 2013
Chief Architect San Francisco Finance/Technology Oct 1999 - Jan 2013
Senior .Vp Technology Superior Solutions Corporation Sep 1995 - Oct 1999
Chief Executive Officer Atwork Corporation Sep 1991 - Sep 1995
Director of Engineering
Education:
University of Maryland 1975 - 1976
Masters, Computer Science Northeastern University 1968 - 1973
Bachelor of Science In Mechanical Engineering, Bachelors, Computer Science, Engineering
Skills:
Printing Money, Microsoft Office, Customer Service, Microsoft Excel, Financial Analysis, Strategic Planning, Business Analysis, Project Management, Investments, Microsoft Word, Powerpoint, Business Strategy, Change Management, Process Improvement
Interests:
Management
Investors
Financing
So I Am Reasonability Risk Adverse
Customers
Peter Paradis Photo 32

Peter Paradis

Peter Paradis Photo 33

Peter Paradis

Publications & IP owners

Wikipedia

Peter Paradis Photo 34

Rock Machine

Well-known former members of the Rock Machine included Peter Paradis (who later testified for the Crown at the trials of other members), Richard "Bam-Bam" ...

Us Patents

Recommendation Machine

US Patent:
2014008, Mar 20, 2014
Filed:
Sep 12, 2013
Appl. No.:
14/025616
Inventors:
Thomas Johannes Oberlechner - San Francisco CA, US
Edward Casteel Milner - Dallas TX, US
Peter R. Paradis - San Jose CA, US
Julia Pitters - Vienna, AU
Assignee:
iMATCHATIVE Corp. - San Francisco CA
International Classification:
G06Q 30/02
US Classification:
705 1466
Abstract:
A machine may be configured as a recommendation machine that makes one or more recommendations to one or more users. The machine may provide a recommendation based on one or more psychometric profiles that correspond to a user, a product, a manager for the product, or any suitable combination thereof. The user may be a potential buyer of the product, and the manager for the product may fully or partially manage the product and consequently affect the value of the product. The user's psychometric profile may describe market understanding and risk tolerance possessed by the user, and the manager's psychometric profile may describe market understanding and risk tolerance held by the manager. Such psychometric profiles may be used to make recommendations of products. In addition, a psychometric profile for the product itself may be used in the making of such recommendations.

Method And Apparatus For Scheduling Appointments

US Patent:
2002013, Sep 19, 2002
Filed:
Oct 24, 2001
Appl. No.:
10/028093
Inventors:
Peter Paradis - San Jose CA, US
International Classification:
H04M001/66
US Classification:
379/200000
Abstract:
A method and system are presented where a server system is able to handle a majority of the processing work in determining and booking available schedule appointments between a patient's schedule and the schedules of the required resources (e.g., personnel, examination rooms, equipment, services, etc.). The server system includes local memory that stores a portion of patient and resource schedules from a database and handles task requests from a client system. Because the majority of the processing work is done at the server, the bandwidth of the connection between the client and server may be low (e.g., a 28.8 K modem), and the client does not necessarily need extensive memory and processing capabilities (e.g., a standard personal computer or PDA).

Methods And Systems For Finding Similar Funds

US Patent:
2016017, Jun 16, 2016
Filed:
Dec 15, 2014
Appl. No.:
14/570656
Inventors:
- San Francisco CA, US
Thomas Johannes Oberlechner - San Francisco CA, US
Peter R. Paradis - San Jose CA, US
Julia Pitters - Vienna, AT
International Classification:
G06Q 40/06
Abstract:
Systems and methods are presented for finding similar funds to a target fund in an investor's financial portfolio. In some embodiments, a method is presented. The method may include accessing target fund characteristics data describing former characteristics of a target fund. The method may also include accessing first comparison fund characteristics data describing present characteristics of a first comparison fund, accessing second comparison fund characteristics data describing present characteristics of a second comparison fund, generating a first difference metric indicating a measure of similarity between the former characteristics of the target fund and the present characteristics of the first comparison fund, generating a second difference metric indicating a measure of similarity between the former characteristics of the target fund and the present characteristics of the second comparison fund, ranking the first and the second difference metrics, and causing display of a visual presentation of the ranking by a graphical display.

Recommendation Machine

US Patent:
2015019, Jul 16, 2015
Filed:
Mar 25, 2015
Appl. No.:
14/668091
Inventors:
- San Francisco CA, US
Thomas Johannes Oberlechner - San Francisco CA, US
Edward Casteel Milner - Dallas TX, US
Peter R. Paradis - San Jose CA, US
Julia Pitters - Vienna, AT
International Classification:
G06Q 30/06
Abstract:
A machine may be configured as a recommendation machine that makes one or more recommendations to one or more users. The machine may provide a recommendation based on one or more psychometric profiles that correspond to a user, a product, a manager for the product, or any suitable combination thereof. The user may be a potential buyer of the product, and the manager for the product may fully or partially manage the product and consequently affect the value of the product. The user's psychometric profile may describe market understanding and risk tolerance possessed by the user, and the manager's psychometric profile may describe market understanding and risk tolerance held by the manager. Such psychometric profiles may be used to make recommendations of products. In addition, a psychometric profile for the product itself may be used in the making of such recommendations.

Possible Relatives

Cynthia M Paradis  David N Paradis  Dacia L Paradis  Daisy H Paradis  Debra L Paradis  Daniel T Paradis  Denis Paradis  Peter L Johnson  Peter J Stan  Peter Stanczak 

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