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Angela Zhang, 32465 Great Rd, Stow, MA 01775

Angela Zhang Phones & Addresses

Stow, MA   

Goleta, CA   

Berkeley, CA   

Woodbury, MN   

Winchester, MA   

2335 Dwight Way, Berkeley, CA 94704    510-6473603   

Work

Position: Executive, Administrative, and Managerial Occupations

Education

Degree: High school graduate or higher

Mentions for Angela Zhang

Career records & work history

Real Estate Brokers

Angela Zhang Photo 1

Angela Zhang, Westford MA - Agent

Work:
Westford, MA
978-7612733 (Phone)
Interests:
Reading
cooking
travle
social and interior design.
About:
ユPassion, dedication and professionalism. ユAward Winning Agent and Top Producer. Re/MAX Executive Club in 2011. 2010 Bronze Individual Top Producer Agent. RE/MAX 100% Club in 2010. 2009 Silver Individual Top Producer Agent. RE/MAX 100% Club in 2009. 2008 Bronze Individual Top Producer Agent. Re/MAX Executive Club in 2008. 2007 Plantinum Individual Top Producer Agent. 2006 Bronze Individual Top Producer Agent.
Angela Zhang Photo 2

Angela Zhang, Danville CA - Agent

Specialties:
Short sales
Residential sales
First time home buyers
Distressed properties
Work:
Keller Williams Realty
Danville, CA
510-3644023 (Phone)
License #01740059
Certifications:
GRI
ABR
CRS
e-PRO
CDPE
CNE
Client type:
Home Buyers
Home Sellers
Property type:
Single Family Home
Condo/Townhome

Angela Zhang resumes & CV records

Resumes

Angela Zhang Photo 36

Angela Zhang - St. Louis, MO

Work:
Wells Fargo Advisors May 2013 to 2000
Analyst, Risk Management Project
SUNEDISON Inc - St. Louis, MO Jun 2013 to Aug 2013
Summer Intern, Financial Planning and Analysis
WELLS FARGO ADVISORS - St. Louis, MO Sep 2012 to Dec 2012
Analyst, Olin Practicum
DELL (CHINA) COMPANY LIMITED - Xiamen, CN Aug 2011 to Sep 2011
Summer Intern, Financial Planning and Analysis
Education:
WASHINGTON UNIVERSITY, OLIN BUSINESS SCHOOL - St. Louis, MO 2012 to 2013
Master of Science in Finance
XIAMEN UNIVERSITY - Xiamen, CN 2008 to 2012
Bachelor of Science in Statistics
Skills:
Bloomberg, SAP, SQL, Java, Matlab, C, R language, VBA, Eviews, SPSS, SAS
Angela Zhang Photo 37

Angela Zhang - Fremont, CA

Work:
Presidio Bank Sep 2012 to 2000
Central Services Specialist
California State University East Bay - Hayward, CA Sep 2011 to Apr 2012
Graduate Teaching Assistant
Education:
Shichuan University - Sichuan, China 2009 to 2013
BA in English
Santa Clara University - Santa Clara, CA 2012 to 2012
Certificate of Advanced Accounting Proficiency in Accounting
California State University East Bay - Hayward, CA 2010 to 2012
MBA in Finance
Angela Zhang Photo 38

Angela Zhang - St. Louis, MO

Work:
WELLS FARGO ADVISORS - St. Louis, MO Sep 2012 to Jan 2013
Analyst, OLIN CEL Practicum: Acquisition Consulting Project
XIAMEN UNIVERSITY Sep 2011 to Jun 2012
Research Assistant, Data
DELL (CHINA) COMPANY LIMITED - Xiamen, CN Aug 2011 to Dec 2011
Summer Intern, Finance Department
XIANGYU GROUP - Xiamen, CN Jun 2011 to Aug 2011
Summer Intern, Investment Management Department
Education:
WASHINGTON UNIVERSITY, OLIN BUSINESS SCHOOL - St. Louis, MO 2012 to 2013
Master of Science in Finance
XIAMEN UNIVERSITY - Xiamen, CN 2008 to 2012
Bachelor of Economics in Statistics
Skills:
C++; Matlab; SAS Programming; Credit; Data Analysis; Financial Risk; Microsoft Office; Modeling; Quantitative Finance; Financial Modeling; R; Time Series Analysis; Microsoft Excel; MATLAB; Regression Analysis; Bloomberg Terminal; Portfolio Management; Financial RIsk Management

Publications & IP owners

Us Patents

Deep Learning Based Approach For Oct Image Quality Assurance

US Patent:
2023001, Jan 19, 2023
Filed:
Jul 12, 2022
Appl. No.:
17/862991
Inventors:
- Westford MA, US
Ajay Gopinath - Bedford MA, US
Humphrey Chen - Acton MA, US
Kyle Edward Savidge - Medford MA, US
Angela Zhang - Stow MA, US
Gregory Patrick Amis - Westford MA, US
Assignee:
LightLab Imaging, Inc. - Westford MA
International Classification:
G06T 7/00
G16H 50/20
G16H 30/40
Abstract:
Aspects of the disclosure relate to systems, methods, and algorithms to train a machine learning model or neural network to classify OCT images. The neural network or machine learning model can receive annotated OCT images indicating which portions of the OCT image are blocked and which are clear as well as a classification of the OCT image as clear or blocked. After training, the neural network can be used to classify one or more new OCT images. A user interface can be provided to output the results of the classification and summarize the analysis of the one or more OCT images.

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