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Jesse C Barbour, Age 63Austin, TX

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Known as:
Jess Barbour Lucy Barbour Jess Mcnight
Related to:
Lucy I Barbour 37

Jesse Barbour Phones & Addresses

Austin, TX

Seattle, WA

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Jesse Barbour resumes & CV records

Resumes

Jesse Barbour Photo 30

Chief Data Scientist

Location:
400 Yaupon Valley Rd, West Lake Hills, TX 78746
Industry:
Financial Services
Work:
Q2Ebanking Jun 2014 - Dec 2017
Director of Software Development Q2Ebanking Jun 2014 - Dec 2017
Chief Data Scientist Q2Ebanking Jun 2012 - Jun 2014
Software Development Manager Q2Ebanking May 2008 - Jun 2012
Software Developer The University of Texas at Austin May 2006 - May 2008
Graduate Student
Education:
St.edward's University 2004 - 2007
Bachelors, Bachelor of Science, Mathematics Penn State University
The University of Texas at Austin
Skills:
Sql, Microsoft Sql Server, Vendor Management, Business Analysis, Software Development, Python, Databases, Machine Learning, Artificial Intelligence, T Sql, Deep Learning, Fraud Detection, Recommender Systems, Cassandra, Javascript, Management, Project Management, Software As A Service, Web Development, Artificial Neural Networks, Distributed Systems, Spark, Hadoop, Natural Language Processing, Information Retrieval, Nosql, Neuro Linguistic Programming, Natural Language Processing
Jesse Barbour Photo 31

Jesse Barbour

Jesse Barbour Photo 32

Jesse Barbour

Publications & IP owners

Us Patents

System, Method And Computer Program Product For Real-Time Online Transaction Risk And Fraud Analytics And Management

US Patent:
2012010, May 3, 2012
Filed:
Oct 29, 2010
Appl. No.:
12/916210
Inventors:
Jesse Barbour - Austin TX, US
Adam D. Anderson - Austin TX, US
International Classification:
G06Q 40/00
US Classification:
705 44
Abstract:
Embodiments disclosed herein provide a behavioral based solution to user identity validation, useful in real-time detection of abnormal activity while a user is engaged in an online transaction with a financial institution. A risk modeling system may run two distinct environments: one to train machine learning algorithms to produce classification objects and another to score user activities in real-time using these classification objects. In both environments, activity data collected on a particular user is mapped to various behavioral models to produce atomic elements that can be scored. Classifiers may be dynamically updated in response to new behavioral activities. Example user activities may include login, transactional, and traverse. In some embodiments, depending upon configurable settings with respect to sensitivity and/or specificity, detection of an abnormal activity or activities may not trigger a flag-and-notify unless an attempt is made to move or transfer money.

System And Method For Information Retrieval For Noisy Data

US Patent:
2020038, Dec 3, 2020
Filed:
May 26, 2020
Appl. No.:
16/883623
Inventors:
- Austin TX, US
Jesse Lee Barbour - West Lake Hills TX, US
International Classification:
G06F 16/33
G06F 16/387
G06F 16/31
G06F 16/16
G06N 3/04
Abstract:
Embodiments of systems and methods for information retrieval are disclosed. Embodiments of such systems and methods may perform information retrieval based on a language model that is used to generate a single vector for the search terms of a query. Similarly, a single vector representation of each of the data records to be searched is obtained and the single vector representing the search terms of the query compared to the single vector of each data record to determine a similarity metric. The resulting similarity metrics associated with each of the data records can be used to rank, present or return one or more data records.

Possible Relatives

Cynthia Barbour  Dawn M Barbour  Dean S Barbour  Deanna B Barbour  Dale A Barbour  Debbie K Barbour  Danny D Barbour  Jesse A Johnston  Jesse J Stanton  Jesse W Stark 

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