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Wonmoh Lee

from Harrington Park, NJ
Age ~52

Wonmoh Lee Phones & Addresses

  • Harrington Park, NJ
  • New York, NY
  • Demarest, NJ
  • Fort Lee, NJ
  • Norwalk, CT

Work

Company: Ubs Dec 2017 Position: Director, r and d - artificial intelligence and emerging technologies

Education

Degree: Masters, Master of Arts School / High School: Columbia University Dec 1999

Skills

Predictive Modeling • Predictive Analytics • Analytics • Sas • Data Mining • Credit Cards • Segmentation • Financial Services • Database Marketing • Statistical Modeling • Marketing Analytics • Sas Programming • Loyalty Marketing • Business Analytics • Risk Analytics • Data Analysis • Strategy • Python • Sql • C# Wfp • Swift • Filemaker • Business Intelligence • Project Management • Technology Leadership • Microsoft Office • Microsoft Excel • Machine Learning • Recommendation Systems • Algorithms • Customer Segmentation Strategy • Campaign Management • Jupyter • Spark • Management • Statistics • Microsoft Powerpoint • R • Business Analysis • Microsoft Word • Oracle Database • Mysql • Teamwork • Leadership • Relational Databases • Database Development • Html • Cascading Style Sheets • Flask • Scala • Mindfulness • Psychology • Psychotherapy • Personal Development • Stress Management • Counseling Psychology • Psychological Assessment • Psychological Testing • Teaching • Group Dynamics • Clinical Research • Clinical Supervision • Family Therapy • Group Therapy

Industries

Financial Services

Resumes

Resumes

Wonmoh Lee Photo 1

Director, R And D - Artificial Intelligence And Emerging Technologies

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Location:
New York, NY
Industry:
Financial Services
Work:
Ubs
Director, R and D - Artificial Intelligence and Emerging Technologies

American Express Nov 2009 - Nov 2017
Senior Manager - Data Scientist, Decision Sciences Group, Business Insights

Independent Sep 2016 - Aug 2017
Database Application Developer

American Express Sep 2005 - Nov 2009
Senior Manager - Risk Management and Information Systems

Affinion Group Jun 2004 - Aug 2005
Statistician
Education:
Columbia University Dec 1999
Masters, Master of Arts
Columbia University May 1997
Master of Science, Masters
Columbia Engineering 1995 - 1997
Master of Science, Masters
University of California, Berkeley
Columbia University In the City of New York
Masters
Skills:
Predictive Modeling
Predictive Analytics
Analytics
Sas
Data Mining
Credit Cards
Segmentation
Financial Services
Database Marketing
Statistical Modeling
Marketing Analytics
Sas Programming
Loyalty Marketing
Business Analytics
Risk Analytics
Data Analysis
Strategy
Python
Sql
C# Wfp
Swift
Filemaker
Business Intelligence
Project Management
Technology Leadership
Microsoft Office
Microsoft Excel
Machine Learning
Recommendation Systems
Algorithms
Customer Segmentation Strategy
Campaign Management
Jupyter
Spark
Management
Statistics
Microsoft Powerpoint
R
Business Analysis
Microsoft Word
Oracle Database
Mysql
Teamwork
Leadership
Relational Databases
Database Development
Html
Cascading Style Sheets
Flask
Scala
Mindfulness
Psychology
Psychotherapy
Personal Development
Stress Management
Counseling Psychology
Psychological Assessment
Psychological Testing
Teaching
Group Dynamics
Clinical Research
Clinical Supervision
Family Therapy
Group Therapy

Publications

Us Patents

Merchant Recommendation System And Method

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US Patent:
20090271246, Oct 29, 2009
Filed:
Apr 28, 2008
Appl. No.:
12/110822
Inventors:
Eduardo J. Alvarez - Princeton NJ, US
Priyo B. Chatterjee - Jersey City NJ, US
Rachel Garrett - Brooklyn NY, US
Jeffrey J. Harouche - Great Neck NJ, US
Wonmoh A. Lee - Fort Lee NJ, US
Serguei Nikiforov - Forest Hills NY, US
Oguz S. Ozsahin - Lyndhurst NJ, US
Jason Santos - River Edge NJ, US
Prashant K. Sinha - East Brunswick NJ, US
Deep Thomas - East Brunswick NJ, US
Assignee:
AMERICAN EXPRESS TRAVEL RELATED SERVICES COMPANY, INC. - New York NY
International Classification:
G06Q 20/00
US Classification:
705 10
Abstract:
Automated generation of a merchant recommendation list is disclosed. When a financial processor obtains rich and relevant information related to consumers and merchants, collaborative filtering, profiling, clustering and predictive modeling techniques are combined to provide merchant recommendations to a consumer. The system analyzes consumer attributes which relate to target consumer attributes to create a target consumer cluster, creates associations based upon merchant attributes and the target consumer attributes and provides the feedback based on the associations.
Wonmoh Lee from Harrington Park, NJ, age ~52 Get Report