1508 Kellen Way #223, Charlotte, NC 28210 • (540)5527244
4506 New House Dr, Charlotte, NC 28269 • (704)5962593
4506 New House Dr #223, Charlotte, NC 28269 • (704)5962593
2888 Hosta Dr, Charlotte, NC 28269
4902 Spring Lake Dr #E, Charlotte, NC 28212
1817 Newman Pl NW, Atlanta, GA 30318
309 Hunt Club Rd, Blacksburg, VA 24060 • (540)5527244
309 Hunt Club Rd #650, Blacksburg, VA 24060 • (704)5962593
6700 Hunt Club Rd E, Blacksburg, VA 24060
1205 Snyder Ln #1100D, Blacksburg, VA 24060
Work
Company:
Ibm
Jul 2012
Address:
Charlotte, NC
Position:
Senior managing consultant
Education
Degree:
MBA
School / High School:
University of North Carolina at Charlotte - Belk College of Business
2005 to 2007
Specialities:
Finance&Marketing
Awards
Six Sigma Blackbelt Certified, June 2010 • Risk and Reward Assessment Mechanism – US Patent approved innovation (IPC8 Class: AG06Q4000FI; USPC Class: 705 36 R • Matched Market Measurement Methodology (4M) – A unique methodology • Six Sigma Greenbelt Certified, April 2004 • Contact Center Operations Certified, Feb 2004 • Gold Medalist (7th rank holder University of Mysore, India, 1999) • Merit Scholarship holder, India, 1994
Agus Sudjianto - Matthews NC, US Michael Chorba - Charlotte NC, US Daniel Hudson - Charlotte NC, US Sandi Setiawan - Charlotte NC, US Jocelyn Sikora - Charlotte NC, US Harsh Singhal - Charlotte NC, US Kiran Vuppu - Charlotte NC, US Kaloyan Mihaylov - New York NY, US Jie Chen - Charlotte NC, US Timothy J. Breault - Huntersville NC, US Arun R. Pinto - Charlotte NC, US Naveen G. Yeri - Charlotte NC, US Benhong Zhang - Charlotte NC, US Zhe Zhang - Charlotte NC, US Tony Nobili - Charlotte NC, US Aijun Zhang - Ann Arbor MI, US
Assignee:
Bank of America Corporation - Charlotte NC
International Classification:
G06Q 40/00
US Classification:
705 36R, 705 35, 705 38
Abstract:
A data driven and forward looking risk and reward appetite methodology for consumer and small business is described. The methodology includes customer segmentation to create pools of homogeneous assets in terms of revenue and loss characteristics, forward looking simulation to forecast expected values and volatilities of revenue and loss, and risk and reward optimization of the portfolio. One methodology used for modeling revenue and loss is a generalized additive effect decomposition model to fit historical data. Based on the model, a segmentation procedure is performed, which allows for creation of groups of customers with similar revenue and loss characteristics. An estimation procedure for the model is developed and a simulation strategy to forecast and simulate revenue and loss volatility is developed. Efficient frontier curves of risk (e. g. , return volatility) and reward (e. g.
Agus Sudjianto - Matthews NC, US Michael Chorba - Charlotte NC, US Daniel Hudson - Charlotte NC, US Sandi Setiawan - Charlotte NC, US Jocelyn Sikora - Charlotte NC, US Harsh Singhal - Charlotte NC, US Kiran Vuppu - Charlotte NC, US Kaloyan Mihaylov - New York NY, US Jie Chen - Charlotte NC, US Timothy J. Breault - Huntersville NC, US Arun R. Pinto - Charlotte NC, US Naveen G. Yeri - Charlotte NC, US Benhong Zhang - Charlotte NC, US Zhe Zhang - Charlotte NC, US Tony Nobili - Charlotte NC, US Aijun Zhang - Ann Arbor MI, US
Assignee:
Bank of America Corporation - Charlotte NC
International Classification:
G06Q 40/00
US Classification:
705 36R, 705 35
Abstract:
A data driven and forward looking risk and reward appetite methodology for consumer and small business is described. The methodology includes account level historical data collection for customers associated with accounts as part of a portfolio. The account level historical data is segmented into groups of customers with similar revenues and loss characteristics. Segmented data is decomposed into seasoning, vintage, and cycle effects. Statistical clusters are formed based upon the data and effects. A simulation is applied to the statistical clusters and prediction data is generated. A simulation strategy to forecast and simulate revenue and loss volatility is developed. Efficient frontier curves of risk (e. g. , return volatility) and reward (e. g. , expected return) are created for the current portfolio under various economic scenarios.
Financial Account Related Trigger Feature For Detecting Changes In Financial Ratios
Naveen G Yeri - Charlotte NC, US Timothy J Bendel - Charlotte NC, US David Joa - San Bruno CA, US Deepak Verma - Middletown DE, US Yanghong Shao - Charlotte NC, US Srihari Rao Gatpa - Andhra Pradesh, IN Jade Michelle Le Vo-Dinh - Charlotte NC, US David Neil Joffe - Charlotte NC, US
Systems and methods for producing and maintaining account related triggers are provided herein. The systems and methods may be utilized for monitoring of one or more accounts of a financial institution. Triggers may be executed to monitor financial account ratios. Offers may be triggered based on the account ratios or changes in the account ratios.
Timothy J. Breault - Huntersville NC, US Ulrich A. Bruns - Rock Hill SC, US John Delmonico - Wakefield RI, US Shelly X. Ennis - Matthews NC, US Ruilong He - Charlotte NC, US Glenn B. Jones - Harrisburg NC, US WeiCheng Liu - Huntersville NC, US Elaine C. Marino - Coventry RI, US Arun R. Pinto - Charlotte NC, US Meghan A. Steach - Charlotte NC, US Agus Sudjianto - Matthews NC, US Naveen G. Yeri - Charlotte NC, US Benhong Zhang - Charlotte NC, US Zhe Zhang - Charlotte NC, US Tony Nobili - Charlotte NC, US Shuchun Wang - Charlotte NC, US Hungjen Wang - Charlotte NC, US Aijun Zhang - Ann Arbor MI, US
Assignee:
BANK OF AMERICA CORPORATION - Charlotte NC
International Classification:
G06Q 40/00
US Classification:
705 36 R
Abstract:
A data driven and forward looking risk and reward appetite methodology for consumer and small business is described. The methodology includes customer segmentation to create pools of homogeneous assets in terms of revenue and loss characteristics, forward looking simulation to forecast expected values and volatilities of revenue and loss, and risk and reward optimization of the portfolio. One methodology used for modeling revenue and loss is a generalized additive effect decomposition model to fit historical data. Based on the model, a segmentation procedure is performed, which allows for creation of groups of customers with similar revenue and loss characteristics. An estimation procedure for the model is developed and a simulation strategy to forecast and simulate revenue and loss volatility is developed. Efficient frontier curves of risk (e.g., return volatility) and reward (e.g., expected return) are created for the current portfolio under various economic scenarios.
Financial Account Related Trigger Feature For Offering Service Discounts
DAVID JOA - San Bruno CA, US TIMOTHY J. BENDEL - Charlotte NC, US YANGHONG SHAO - Charlotte NC, US DAVID NEIL JOFFE - Charlotte NC, US NAVEEN G. YERI - Charlotte NC, US
Assignee:
BANK OF AMERICA CORPORATION - Charlotte NC
International Classification:
G06Q 30/02 G06Q 40/02
US Classification:
705 1417
Abstract:
Systems and methods for producing and maintaining account related triggers are provided herein. The systems and methods may be utilized for marketing service savings opportunities to a customer of one or more accounts of a financial institution. Triggers may be executed to monitor outbound transactions for services. The outbound transactions may be compared to a control. The financial institution may then determine a service savings opportunity offer to present to the customer.
Financial Account Related Trigger Feature For Triggering Offers Based On Financial Information
Yanghong Shao - Charlotte NC, US Timothy J. Bendel - Charlotte NC, US David Joa - San Bruno CA, US Naveen G. Yeri - Charlotte NC, US Deepak Verma - Middletown DE, US Bibhudatta Jena - Hyderabad, IN Kunal Makin - Charlotte NC, US Srihari Rao Gatpa - Hyderabad, IN Jade Michelle Le Vo-Dinh - Charlotte NC, US David Neil Joffe - Charlotte NC, US
International Classification:
G06Q 30/02
US Classification:
705 1449
Abstract:
Systems and methods for producing and maintaining account related triggers are provided herein. The systems and methods may be utilized for triggering offers based on financial information of one or more accounts of a financial institution customer. Triggers may be executed to monitor hardship trends. If a hardship is identified, the financial institution may present a hardship offer to the customer for assistance.
Naveen G. Yeri - Charlotte NC, US Timothy J. Bendel - Charlotte NC, US David Joa - San Bruno CA, US Vikas Mishra - Pune, IN Deepak Verma - Middletown DE, US Yanghong Shao - Charlotte NC, US Parul Bajaj - Hyderabad, IN Srihari Rao Gatpa - Hyderabad, IN Li Wei - Weddington NC, US David Neil Joffe - Charlotte NC, US
Assignee:
BANK OF AMERICA CORPORATION - Charlotte NC
International Classification:
G06Q 30/02
US Classification:
705 1449
Abstract:
Systems and methods for reviewing accounts to enhance user relationships and prevent account loss are provided herein. In the systems and methods, account data associated with one or more account of a first financial institution are received and the account data is stored in a storage device; triggers are identified based on the account data, where the triggers include one or more transactions; external account activity of one or more accounts associated with a second financial institution is determined based on the one or more transactions; and a product recommendation is provided to a user associated with one or more accounts of the first financial institution based on the identified external activity. The systems and methods further provide determining a shift in internal account usage of the one or more accounts associated with the first financial institution based on the one or more transactions.
Providing Offers In Response To Determination Of Triggers
NAVEEN G. YERI - Charlotte NC, US Timothy J. Bendel - Charlotte NC, US David Joa - San Bruno CA, US Vikas Mishra - Pune, IN Deepak Verma - Middletown DE, US Yanghong Shao - Charlotte NC, US Bibhudatta Jena - Hyderabad, IN Srihari Rao Gatpa - Hyderabad, IN Li Wei - Weddington NC, US David Neil Joffe - Charlotte NC, US
Assignee:
BANK OF AMERICA CORPORATION - Charlotte NC
International Classification:
G06Q 30/02 G06Q 40/02
US Classification:
705 1453
Abstract:
Systems and methods for providing offers associated with one or more accounts of a financial institution is provided herein. The system receives account data associated with the one or more accounts; stores the account data in a storage device; identifies account activity for at least one of inbound transactions or outbound transactions based on the account data; and identifies triggers comprising opportunities for providing offers based on the account activity. The system then provides an offer to the user based on the trigger. In some embodiments, the trigger is based on inbound transaction but in other embodiments the trigger is based on outbound transactions. The offer can be specifically related to another party associated with the trigger, e.g., the recipient of a payment, or the offer can be based on the time, amount, or location of the trigger. A computer program product is also provided.
IBM - Charlotte, NC since Jul 2012
Senior Managing Consultant
Bank of America Dec 2009 - Jul 2012
SVP: Sr Quantitative Research Associate
Bank of America Nov 2006 - Nov 2009
VP: Risk Management Analyst, Strategic Risk Analytics
Bank of America Jan 2005 - Oct 2006
VP: Market Information Manager, Global Marketing
Bank of America Feb 2003 - Dec 2004
AVP: Operations Research Analyst
Education:
University of North Carolina at Charlotte - Belk College of Business 2005 - 2007
MBA, Finance&Marketing
Virginia Polytechnic Institute and State University 2000 - 2002
MS, Industrial Engg-Operations Research
National Institute of Engg., Mysore 1995 - 1999
Bachelor of Engineering, Industrial and Production Engineering
Honor & Awards:
Six Sigma Blackbelt Certified, June 2010
Risk and Reward Assessment Mechanism – US Patent approved innovation (IPC8 Class: AG06Q4000FI; USPC Class: 705 36 R
Matched Market Measurement Methodology (4M) – A unique methodology
Six Sigma Greenbelt Certified, April 2004
Contact Center Operations Certified, Feb 2004
Gold Medalist (7th rank holder University of Mysore, India, 1999)
Merit Scholarship holder, India, 1994
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