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Andrew N Podosenov

from Chicago, IL
Age ~46
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Also known as:
Andrew M Podosenov, Andrew B
Phone and address:
440 N Wabash Ave APT 1004, Chicago, IL 60611
Related to:
Nicholas Podosenov, 70Irene Podosenov, 68
Connected to:
Diane M Podowski, 67Russell W Podowski, 69Michael F Podpeskar, 33James F Podpolucha, 69Beth A Podrasky, 44Kara L Podrasky, 49Stephen P Podratsky, 56Karl C Podratz, 81Leah T Podratz, 49Terry F Podratz, 73

Andrew Podosenov Phones & Addresses

  • 440 N Wabash Ave APT 1004, Chicago, IL 60611
  • Naperville, IL
  • Aurora, IL
  • Niles, IL
  • Champaign, IL

Work

Company: Citi Oct 2017 Position: Portfolio analytics

Education

Degree: Master of Science, Masters School / High School: Depaul University 2001 to 2005 Specialities: Applied Statistics, Actuarial Science

Skills

Analytics • Sas • Segmentation • Database Marketing • Predictive Modeling • Credit Cards

Industries

Financial Services

Resumes

Resumes

Andrew Podosenov Photo 1

Portfolio Analytics

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Location:
175 west Jackson Blvd, Chicago, IL 60604
Industry:
Financial Services
Work:
Citi
Portfolio Analytics
Enova International
Manager, Portfolio Analytics
Catalina Marketing
Director, Analytical Consulting
Leo Burnett Dec 2013 - May 2014
Manager, Optimization
Transunion Oct 2011 - May 2013
Manager, Consulting Solutions, Insurance Analytics
Education:
Depaul University 2001 - 2005
Master of Science, Masters, Applied Statistics, Actuarial Science University of Illinois at Urbana - Champaign 1997 - 2001
Bachelors, Bachelor of Science, Computer Science, Statistics
Skills:
Analytics
Sas
Segmentation
Database Marketing
Predictive Modeling
Credit Cards

Publications

Us Patents

Systems And Methods For Improving Prediction Of Future Credit Risk Performances

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US Patent:
20120278217, Nov 1, 2012
Filed:
Mar 29, 2012
Appl. No.:
13/434706
Inventors:
Xuebin Sui - Libertyville IL, US
Andrew Podosenov - Chicago IL, US
David Ellis - Chicago IL, US
Assignee:
TRANS UNION LLC - Chicago IL
International Classification:
G06Q 40/00
US Classification:
705 35
Abstract:
Systems and methods are provided for improving prediction of credit risk performances of a plurality of consumers, each consumer having a standard credit data file and score. According to a particular aspect, a method determines changes in credit data files of the plurality of consumers during a predetermined period of time, and combines change data with standard credit data. The method determines a set of credit elements that are predictive of credit risk performances of the plurality of customers by processing the combined change data and standard credit data, and identifies an incremental risk value for each of the plurality of consumers by supplementing the corresponding credit data file with the predictive set of credit elements. The method further generates a flag indicative of the identified incremental risk value for each of the plurality of consumers.
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Andrew N Podosenov from Chicago, IL, age ~46 Get Report