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Jingzi Tan

from Camas, WA
Age ~38
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Connected to:
Ainah U Tan, 38Al T Tan, 71Alan H Tan, 49Albert J Tan, 43Alena Y Tan, 52Alfian Tan, 52Amanda N Tan, 41Analysa V Tan, 35Anastasia Tan, 37Andi Tan, 35

Jingzi Tan Phones & Addresses

  • Camas, WA
  • Chicago, IL
  • Naperville, IL
  • Tucson, AZ

Work

Company: Ibm Dec 2017 Position: Senior data scientist, senior managing consultant

Education

Degree: Doctorates, Doctor of Philosophy School / High School: University of Arizona 2009 to 2013 Specialities: Philosophy

Skills

Matlab • Simulations • Data Analysis • R • Statistics • C++ • Python • Algorithms • Software Development • Analytics • Spss • Data Mining • Linux • Latex • Analysis • Machine Learning • Arena Simulation Software • Operations Research • Mathematical Modeling of Engineer System... • Supply Chain Optimization • Red Hat Linux • Ilog • Sas

Industries

Information Technology And Services

Resumes

Resumes

Jingzi Tan Photo 1

Senior Data Scientist, Senior Managing Consultant

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Location:
3550 north Lake Shore Dr, Chicago, IL 60657
Industry:
Information Technology And Services
Work:
Ibm
Senior Data Scientist, Senior Managing Consultant
Ibm
Data Scientist, Managing Consultant
Ibm Jun 2013 - Nov 2015
Senior Consultant
The University of Arizona Jun 2011 - Jan 2013
Research Assistant
Education:
University of Arizona 2009 - 2013
Doctorates, Doctor of Philosophy, Philosophy Huazhong University of Science and Technology 2004 - 2008
Bachelors, Bachelor of Science, Industrial Engineering
Skills:
Matlab
Simulations
Data Analysis
R
Statistics
C++
Python
Algorithms
Software Development
Analytics
Spss
Data Mining
Linux
Latex
Analysis
Machine Learning
Arena Simulation Software
Operations Research
Mathematical Modeling of Engineer Systems and Processes
Supply Chain Optimization
Red Hat Linux
Ilog
Sas

Publications

Us Patents

Market Share Prediction With Shifting Consumer Preference

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US Patent:
20180060886, Mar 1, 2018
Filed:
Aug 30, 2016
Appl. No.:
15/251378
Inventors:
- Armonk NY, US
Munish GOYAL - Yorktown Heights NY, US
Jingzi TAN - Chicago IL, US
Shobhit VARSHNEY - Somers NY, US
International Classification:
G06Q 30/02
G06F 17/30
Abstract:
Methods, computer program products, and systems are presented. The methods include, for instance: predicting a market share based on consumer preference shift based on inputs of including sales data of respective branded products in a market, product feature data, and product event data. Feature cluster switch rates are first estimated and then brand switch rate within a subject feature cluster is estimated. Future market share of a branded product having the subject feature cluster is predicted and reported.

Brand Equity Prediction

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US Patent:
20180060887, Mar 1, 2018
Filed:
Aug 30, 2016
Appl. No.:
15/251552
Inventors:
- Armonk NY, US
Munish GOYAL - Yorktown Heights NY, US
Jingzi TAN - Chicago IL, US
International Classification:
G06Q 30/02
G06Q 10/06
Abstract:
Methods, computer program products, and systems are presented. The methods include, for instance: evaluating a brand value as a function of numerous parameters as formulated by brand value dynamics, and by use of input data for accurate prediction of the brand value. A brand equity is estimated based on the brand value and brand values of all brands competing in the market.

Managing Adoption And Compliance Of Series Purchases

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US Patent:
20180060889, Mar 1, 2018
Filed:
Aug 30, 2016
Appl. No.:
15/251440
Inventors:
- Armonk NY, US
Raphael EZRY - New York NY, US
Munish GOYAL - Yorktown Heights NY, US
Jingzi TAN - Chicago IL, US
International Classification:
G06Q 30/02
G06F 19/00
Abstract:
Methods, computer program products, and systems are presented. The methods include, for instance: identifying a target customer population of a series product and dividing into segments by customer behaviors relevant to adoption of and compliance to a series of purchases of the series product. A marketing campaign strategy for each segment is devised and executed, and adoption rate and compliance rate is predicted by analytical modeling and later evaluated by actual sales data. Parameters used in predicting the adoption rate and the compliance rate are adjusted for accuracy.

Reinforcement Allocation In Socially Connected Professional Networks

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US Patent:
20170278110, Sep 28, 2017
Filed:
Mar 28, 2016
Appl. No.:
15/081979
Inventors:
- Armonk NY, US
Munish Goyal - Yorktown Heights NY, US
Jingzi Tan - Chicago IL, US
Shobhit Varshney - Somers NY, US
Assignee:
International Business Machines Corporation - Armonk NY
International Classification:
G06Q 30/02
G06F 19/00
G06F 17/30
Abstract:
A network of nodes is constructed from data obtained from a data source of a social medium. A node corresponds to a medical professional. From the data, a likelihood is determined of the node prescribing a product. From the data, for a period, a level of knowledge is computed of the node about the product. A change in the level of knowledge of the node from a previous period is determined. Using a change in a level of knowledge corresponding to each node in the network, an amount of knowledge reinforcement to be applied to each node in the network is computed. A knowledge reinforcement resource to perform knowledge reinforcement at a subset of the nodes is allocated according to a schedule, where the allocated knowledge reinforcement resource to the node has a correspondence with the change in the level of knowledge of the node.
Control profile
Jingzi Tan from Camas, WA, age ~38 Get Report