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Naoko Shimada

from Portland, OR
Age ~49
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Connected to:
Ayumi Shimada, 40Darek K Shimada, 48Gregg S Shimada, 46Hideki D Shimada, 93Jennifer N Shimada, 36Kaori Shimada, 57Keiko Shimada, 81Kimiko K Shimada, 76Konomi Shimada, 54Masao Shimada, 75

Naoko Shimada Phones & Addresses

  • 2911 N Halleck St, Portland, OR 97217
  • Seattle, WA
  • Olympia, WA

Work

Company: Comscore, inc. Feb 2016 to Apr 2018 Position: Senior lead data scientist

Education

School / High School: Portland State University 2009 to 2011 Specialities: Applied Statistics

Skills

Statistics • Statistical Modeling • Mathematica • R • Data Analysis • Sas • Analytics • Research • Data Mining • Latex • Predictive Modeling • Matlab • Physics • Segmentation • Microsoft Excel • Python • Sql • Data Science

Ranks

Certificate: Machine Learning Enginer Nanodegree

Industries

Internet

Resumes

Resumes

Naoko Shimada Photo 1

Naoko Shimada

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Location:
Portland, OR
Industry:
Internet
Work:
Comscore, Inc. Feb 2016 - Apr 2018
Senior Lead Data Scientist
Rentrak Aug 2015 - Jan 2016
Senior Information Scientist
Rentrak Aug 2013 - Aug 2015
Senior Statistics Research Analyst
Rentrak Aug 2011 - Jul 2013
Statistics Research Analyst
Portland State University Mar 2010 - Aug 2011
Graduate Research Assistant
Education:
Portland State University 2009 - 2011
Portland State University 2005 - 2009
Master of Science, Masters, Mathematics The Evergreen State College 2002 - 2004
Bachelors, Bachelor of Science, Mathematics
Skills:
Statistics
Statistical Modeling
Mathematica
R
Data Analysis
Sas
Analytics
Research
Data Mining
Latex
Predictive Modeling
Matlab
Physics
Segmentation
Microsoft Excel
Python
Sql
Data Science
Certifications:
Machine Learning Enginer Nanodegree
Machine Learning

Publications

Us Patents

Systems And Methods For Predicting Viewership And Detecting Anomalies

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US Patent:
20210084375, Mar 18, 2021
Filed:
Sep 15, 2019
Appl. No.:
16/571130
Inventors:
- Reston VA, US
Lin Qin - Camas WA, US
Naoko Shimada - Portland OR, US
Joseph Ruthruff - Damascus OR, US
Michael Vinson - Piedmont CA, US
International Classification:
H04N 21/466
H04N 21/442
H04N 21/45
G06K 9/62
Abstract:
Prediction models for managing viewership data are disclosed. An amount of time users are displayed content is initially obtained. The obtained amounts may be for each content distributor that distributes channels, for each of the channels with respect to which sets of content are displayed, for each of the sets that comprises content displayed during past periods, and for each of the displayed content. A set of features associated with each of the displays is obtained and a target period is selected from among the past periods. A model is used to predict an amount of time users were displayed content during the target period, for each of the sets, channels, and distributors, based on the obtained sets of features associated with the displays during the target period and on the obtained amounts for the displays during the past periods that precede the target period. A comparison, respectively for the same displays during the target period, of each of the obtained amounts to each of the predicted amounts is performed, and an anomaly is detected based on the comparisons. Finally, the anomaly is alerted.
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Naoko Shimada from Portland, OR, age ~49 Get Report