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Alex K Lun

from Weehawken, NJ
Age ~46

Alex Lun Phones & Addresses

  • 250 Henley Pl UNIT 207, Weehawken, NJ 07086 (201) 866-0719
  • 30 63Rd St, New York, NY 10023
  • 3117 Broadway, New York, NY 10027
  • 12354 Nesmith Dr, Houston, TX 77035
  • 2431 Lancashire Dr, Ann Arbor, MI 48105
  • 3117 Broadway APT 27, New York, NY 10027

Resumes

Resumes

Alex Lun Photo 1

Global Digital Payments Analytics

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Location:
New York, NY
Industry:
Consumer Services
Work:
American Express Aug 2013 - Jan 2016
Senior Manager - Us Global Merchant Services Analytics

Citi Aug 2013 - Jan 2016
Global Digital Payments Analytics

American Express May 2012 - Aug 2013
Senior Manager - Global Merchant Risk Management

American Express Apr 2010 - May 2012
Senior Manager - Consumer Group Strategic Analysis and Testing, Charge Portfolio and Online Analytics

American Express Mar 2006 - Apr 2010
Manager - Ccsg Strategic Analysis and Testing, Fee Services Analytics
Education:
Queen's University
Masters, Management
Diocesan Boys' School
Columbia University In the City of New York
Masters
University of Michigan
Bachelors, Electrical Engineering
Skills:
Analytics
Segmentation
Credit Cards
Sas
Data Analysis
Sql
Business Analysis
Portfolio Management
Risk Management
Data Mining
Analysis
Management
Predictive Modeling
Statistical Modeling
Financial Modeling
Strategy
Financial Services
Financial Analysis
Business Strategy
Business Intelligence
Project Management
Product Management
Analytical Skills
Languages:
English
Mandarin
Cantonese
Alex Lun Photo 2

Alex Lun

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Location:
New York, NY
Industry:
Investment Banking
Alex Lun Photo 3

Alex Lun

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Publications

Us Patents

Systems And Methods For Tailoring Marketing

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US Patent:
20130246177, Sep 19, 2013
Filed:
Mar 11, 2013
Appl. No.:
13/794226
Inventors:
Alex Lun - New York NY, US
Assignee:
American Express Travel Related Services Company, Inc. - New York NY
International Classification:
G06Q 30/02
US Classification:
705 1453
Abstract:
The systems and methods described herein may be used to recommend an item to a consumer. The methods may comprise determining, based on a collaborative filtering algorithm, a consumer relevance value associated with an item, and transmitting, based on the consumer relevance value, information associated with the item to a consumer. A collaborative filtering algorithm may receive as an input at least one of: a transaction history associated with the consumer, a demographic of the consumer, a consumer profile, a type of transaction account, a transaction account associated with the consumer, a period of time that the consumer has held a transaction account, a size of wallet, a share of wallet, and/or the like. The method may further comprise generating a ranked list of items based upon a plurality of consumer relevance values, transmitting a ranked list of items to a consumer, and/or re-ranking a ranked list of items based upon a merchant goal.

Ranking Merchants Based On A Normalized Popularity Score

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US Patent:
20170228777, Aug 10, 2017
Filed:
Apr 24, 2017
Appl. No.:
15/494940
Inventors:
- New York NY, US
ALEX LUN - New York NY, US
Assignee:
American Express Travel Related Services Company, Inc. - New York NY
International Classification:
G06Q 30/02
G06Q 30/06
Abstract:
The systems and methods may be used to recommend an item to a consumer. The methods may comprise determining, based on a collaborative filtering algorithm, a consumer relevance value associated with an item, and transmitting, based on the consumer relevance value, information associated with the item to a consumer. A collaborative filtering algorithm may receive as an input a transaction history associated with the consumer, a demographic of the consumer, a consumer profile, a type of transaction account, a transaction account associated with the consumer, a period of time that the consumer has held a transaction account, a size of wallet, and/or a share of wallet. The method may further comprise generating a ranked list of items based upon consumer relevance values, transmitting a ranked list of items to a consumer, and/or re-ranking a ranked list of items based upon a merchant goal.
Alex K Lun from Weehawken, NJ, age ~46 Get Report