Carolina V BarcenasAustin, TX

Carolina Barcenas Phones & Addresses

Austin, TX

Cedar Creek, TX

Lynnwood, WA

Orange Park, FL

10807 Redmond Cv, Austin, TX 78739 (512) 585-5969

Mentions for Carolina V Barcenas

Carolina Barcenas resumes & CV records

Resumes

Carolina Barcenas Photo 30

Customer Service Representative

Location:
10807 Redmond Cv, Austin, TX 78739
Industry:
Financial Services
Work:
Visa
Svp, Visa Research
Visa
Vice President
Visa Mar 2015 - Nov 2017
Senior Director, Data Science
Paypal Jan 2008 - Feb 2015
Director of Smb Risk Management, Debit and Collections
Austin Logistics Aug 2001 - Dec 2007
Director of Analytic Consulting
Tecnológico De Monterrey Jul 1999 - Sep 2001
Dean of Science and Enginnering
Experian Jan 1998 - Apr 1999
Project Analyst - Credit Scoring and Modeling Group
Synnex Concentrix Corp Jan 1998 - Apr 1999
Customer Service Representative
Education:
Georgia Institute of Technology 1993 - 1997
Doctorates, Doctor of Philosophy, Statistics
Georgia Institute of Technology 1992 - 1994
Master of Science, Masters, Applied Statistics
Tecnológico De Monterrey 1990 - 1992
Master of Science, Masters
Tecnológico De Monterrey 1987 - 1990
Bachelors, Bachelor of Science, Physics, Engineering
Skills:
Analytics, Predictive Analytics, Statistics, Financial Risk, Statistical Modeling, Credit Cards, Management, Risk Management, Analysis, Credit Risk, Segmentation, Strategy, Fraud, Portfolio Management, Data Mining, Business Analysis, Credit, Business Intelligence, Predictive Modeling, Payments, Sas, Product Management, Business Analytics, Fraud Prevention, Risk Analytics, Decision Trees, Quantitative Analytics, Logistic Regression, Optimization, Credit Scoring, Sas Programming, Loans
Languages:
English
Spanish
Carolina Barcenas Photo 31

Customer Service Representative

Location:
Austin, TX
Work:
Synnex Concentrix Corp
Customer Service Representative
Education:
Polytechnic University of the Philippines 2002 - 2006
Bachelors, Education, Business, Teacher Education
Carolina Barcenas Photo 32

Carolina Barcenas

Publications & IP owners

Us Patents

Seller Url Monitoring Systems And Methods

US Patent:
2013028, Oct 24, 2013
Filed:
Mar 28, 2013
Appl. No.:
13/852984
Inventors:
Sahib Bal - San Jose CA, US
Giselle Nevada - Pflugerville TX, US
Carolina Barcenas - Austin TX, US
International Classification:
G06Q 10/06
US Classification:
705 736
Abstract:
Systems and methods for monitoring seller URLs are described. The methods include receiving a merchant URL associated with a merchant site, extracting content from a Web page associated with the merchant URL, and determining actionable changes related to a payment provider service on the merchant site.

System, Method, And Apparatus For Self-Adaptive Scoring To Detect Misuse Or Abuse Of Commercial Cards

US Patent:
2018035, Dec 6, 2018
Filed:
Jun 2, 2017
Appl. No.:
15/612495
Inventors:
- San Francisco CA, US
Carolina Barcenas - Austin TX, US
Chiranjeet Chetia - Round Rock TX, US
Steven Johnson - Lakewood CO, US
Manikandan Nair - Austin TX, US
International Classification:
G06Q 40/00
G06F 7/08
G06F 7/02
G06Q 10/06
Abstract:
Provided is a system, method and computer readable medium for detecting at least one non-compliant commercial card transaction for a plurality of transactions received from a merchant, and for generating at least one score for a received transaction, based at least partially on a scoring model, to determine whether a transaction is non-compliant. The scoring model includes at least one score determined by unsupervised learning with feedback from score influencing rules, case disposition data, transactional data, historical data and old scoring models and automatically modifying, at predefined intervals, the scoring model based on current score influencing rules and case disposition data. Machine learning is programmed to score the model based at least partially on a probability-based outlier detection algorithm and a clustering algorithm and to provide a case presentation system for audit and review of scored transactions and to receive input comprising case disposition data and score influencing rules.

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