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Laura Zuchlewski Phones & Addresses

  • 20122 Fremont Ave N, Seattle, WA 98133
  • Shoreline, WA
  • 37 Westbourne Dr, Tonawanda, NY 14150 (716) 870-3374
  • Buffalo, NY
  • 37 Westbourne Dr, Tonawanda, NY 14150

Work

Company: Pagerduty Jul 2016 Position: Data scientist

Education

Degree: Master of Science, Masters School / High School: University of Washington 2007 to 2008 Specialities: Applied Mathematics

Skills

Visual Studio • Software Engineering • Windows Azure • Distributed Systems • Software Design • C# • .Net • Test Automation • Software Development • Database Design • Scrum • Agile Methodologies • Sql • Xml

Industries

Computer Software

Resumes

Resumes

Laura Zuchlewski Photo 1

Data Scientist

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Location:
Seattle, WA
Industry:
Computer Software
Work:
Pagerduty
Data Scientist

Pagerduty Feb 1, 2016 - Jul 2016
Data Science Contractor

Microsoft Aug 2008 - Oct 2014
Software Engineer 2
Education:
University of Washington 2007 - 2008
Master of Science, Masters, Applied Mathematics
University at Buffalo 2003 - 2007
Bachelors, Bachelor of Science, Mathematics
Skills:
Visual Studio
Software Engineering
Windows Azure
Distributed Systems
Software Design
C#
.Net
Test Automation
Software Development
Database Design
Scrum
Agile Methodologies
Sql
Xml

Publications

Us Patents

Real-Time Adaptive Operations Performance Management System

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US Patent:
20180285798, Oct 4, 2018
Filed:
Nov 6, 2017
Appl. No.:
15/804949
Inventors:
- San Francisco CA, US
Ophir Ronen - Seattle WA, US
Laura Ann Zuchlewski - Seattle WA, US
International Classification:
G06Q 10/06
G06N 5/04
G06N 99/00
Abstract:
Embodiments are directed to managing operations. If Operations events are provided, event clusters may be associated with one or more Operations events, such that the Operations events may be associated with the event clusters based on characteristics of the Operations events. Metrics including resolution metrics, root cause analysis, notes, and other remediation information may be associated with the event clusters. Then a modeling engine may be employed to train models based on the Operations events, the event clusters, and the resolution metrics, such that the trained model may be trained to correlate and predict the resolution metrics from real-time Operations events. If real-time Operations events may be provided, the trained models may be employed to predict the resolution metrics that are associated with the real-time Operations events. If model performance degrades beyond accuracy requirements, new observations may be added to the training set and the model re-trained.
Laura A Zuchlewski from Shoreline, WA, age ~39 Get Report