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Scott Heimendinger Phones & Addresses

  • 1900 1St Ave APT 1201, Seattle, WA 98101
  • 2300 N 58Th St, Seattle, WA 98103
  • 201 Galer St #316, Seattle, WA 98109
  • Leavenworth, WA
  • Woodinville, WA
  • Redmond, WA
  • Bethesda, MD
  • Pittsburgh, PA
  • Studio City, CA
  • Mercer Island, WA

Work

Company: Anova culinary Sep 2020 Position: Chief marketing officer

Education

Degree: Bachelors, Bachelor of Science School / High School: Carnegie Mellon University 2001 to 2005 Specialities: Information Systems

Skills

Evangelism • Sous Vide • Product Development • Product Design • Brand Development • E Commerce • Marketing • Business Analysis • Program Management • Business Intelligence • Blogging • Data Warehousing • Software Project Management • Software Development • Data Analysis • Microsoft Excel • .Net • Php • Wordpress • Microsoft Sql Server • Leadership • Business Development • Marketing Strategy • Entrepreneurship • Graphic Design • 3D Rendering • Sharepoint • Retail Packaging • Retail Sales • Adobe Creative Suite • Adobe Acrobat • Illustrator • Photoshop • Keyshot • Premiere • After Effects • Computer Aided Design • Mechanical Engineering • Photography • Macro Photography • Motion Control • Visual Effects • Video Editing • Video Production • Video Post Production

Languages

French

Interests

Diy • Physics • Cooking • Data Analysis • Research • Molecular Gastronomy • See 1 • See Less • Food Photography • Modernist Cuisine • Sous Vide • Food • Food Science

Industries

Food Production

Resumes

Resumes

Scott Heimendinger Photo 1

Chief Marketing Officer

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Location:
3 Bayard Rd, Pittsburgh, PA 15213
Industry:
Food Production
Work:
Anova Culinary
Chief Marketing Officer

Gir Get It Right Mar 2016 - Jun 2016
Consultant

Modernist Cuisine Mar 2016 - Jun 2016
Technical Director

Sansaire Mar 2012 - Mar 2016
Co-Founder and Chief Marketing Officer

Modernist Cuisine Jan 2012 - Jun 2015
Director of Applied Research
Education:
Carnegie Mellon University 2001 - 2005
Bachelors, Bachelor of Science, Information Systems
Skills:
Evangelism
Sous Vide
Product Development
Product Design
Brand Development
E Commerce
Marketing
Business Analysis
Program Management
Business Intelligence
Blogging
Data Warehousing
Software Project Management
Software Development
Data Analysis
Microsoft Excel
.Net
Php
Wordpress
Microsoft Sql Server
Leadership
Business Development
Marketing Strategy
Entrepreneurship
Graphic Design
3D Rendering
Sharepoint
Retail Packaging
Retail Sales
Adobe Creative Suite
Adobe Acrobat
Illustrator
Photoshop
Keyshot
Premiere
After Effects
Computer Aided Design
Mechanical Engineering
Photography
Macro Photography
Motion Control
Visual Effects
Video Editing
Video Production
Video Post Production
Interests:
Diy
Physics
Cooking
Data Analysis
Research
Molecular Gastronomy
See 1
See Less
Food Photography
Modernist Cuisine
Sous Vide
Food
Food Science
Languages:
French

Publications

Us Patents

Providing Associations Between Objects And Individuals Associated With Relevant Media Items

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US Patent:
8645359, Feb 4, 2014
Filed:
Sep 30, 2010
Appl. No.:
12/895673
Inventors:
Scott Martin Heimendinger - Seattle WA, US
Assignee:
Microsoft Corporation - Redmond WA
International Classification:
G06F 7/00
G06F 17/30
G06F 17/00
US Classification:
707722, 707736, 707914, 707915
Abstract:
In an embodiment, a computer-implemented method uses one or more search references to identify media items that correspond with the one or more search references and one or more individuals associated with each media item. The method of one embodiment provides a searching and identification service that uses one or more images as one or more search key inputs to identify relevant images of a media collection, including associating information of any depicted individuals with search key inputs. In one embodiment, a computing system operates to provide an association, reporting, and/or display service as part of managing an asset by using one or more search references to search through an image collection as part of determining how a product or service is being used by characterizing an association between each individual associated with the image and the one or more search references.

Flattening Multi-Dimensional Data Sets Into De-Normalized Form

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US Patent:
20100131457, May 27, 2010
Filed:
Nov 26, 2008
Appl. No.:
12/324538
Inventors:
Scott Heimendinger - Seattle WA, US
Assignee:
Microsoft Corporation - Redmond WA
International Classification:
G06F 17/30
US Classification:
707602, 707E17044, 707E17056, 707E17006
Abstract:
Performance metrics data in a multi-dimensional structure such as a nested scorecard matrix is transformed into a flat structure or de-normalized for efficient querying of individual records. Each dimension and header is converted to a column and data values resolved at intersection of dimension levels through an iterative process covering all dimensions and headers of the data structure. A key corresponding to a tuple representation of each cell or a transform of the tuple may be used to identify rows corresponding to the resolved data in cells for further enhanced query capabilities.

Sensory Outputs For Communicating Data Values

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US Patent:
20100134261, Jun 3, 2010
Filed:
Dec 2, 2008
Appl. No.:
12/326122
Inventors:
Scott M. Heimendinger - Seattle WA, US
Assignee:
Microsoft Corporation - Redmond WA
International Classification:
G08B 6/00
G08B 3/10
US Classification:
3404071, 3403845
Abstract:
Architecture for communicating data values that enables visually impaired persons to perceive a non-image indicator corresponding to the data values. For example, an organized data set such as a chart or a graph can be displayed on a computer monitor or other user interface output component. A user employs a mouse or other user input component to select a data value from the organized data set. A non-image indicator such as an audible tone can be generated to correspond to the selected data value. A spread of audible tones corresponding to the organized data set is assigned across a range between a maximum data value and a minimum data value. A tonal separation is assigned between audible tones sufficient to enable the user to discern a pitch variation and corresponding change in data value.

Automatically Tagging Images With Nearby Short Range Communication Device Information

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US Patent:
20100194896, Aug 5, 2010
Filed:
Feb 4, 2009
Appl. No.:
12/365817
Inventors:
Scott Heimendinger - Seattle WA, US
Assignee:
Microsoft Corporation - Redmond WA
International Classification:
H04N 5/225
US Classification:
3482071, 348E05024
Abstract:
Digital cameras are enabled to tag pictures with short range transmitter information from nearby devices. After uploading to a personal computer, a photo application further tags a user profile identifier matching the short range transmitter information. Tagged pictures are stored in a server for presentation. Any user with nearby device identifier or the nearby device itself can authenticate themselves to the server for automated access to tagged pictures.

Contribution Based Chart Scaling

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US Patent:
20110050702, Mar 3, 2011
Filed:
Aug 31, 2009
Appl. No.:
12/550635
Inventors:
Scott M. Heimendinger - Seattle WA, US
Assignee:
Microsoft Corporation - Redmond WA
International Classification:
G06T 11/20
US Classification:
345440
Abstract:
Charts are automatically scaled based on contributing data members. A relatable context of scale is provided by presenting a select group of lowest data members as a combined group such as a combination bar in a bar chart in response to smaller screen size, display area, resolution, and comparable factors. Further information on combined data members may be provided in a condensed graphic format such as a histogram. Value axes of the chart are scaled automatically to enhance visibility and detail of combined data members.

Predictive Data Caching

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US Patent:
20110055202, Mar 3, 2011
Filed:
Aug 31, 2009
Appl. No.:
12/550539
Inventors:
Scott M. Heimendinger - Seattle WA, US
International Classification:
G06N 5/02
G06F 17/30
G06F 12/08
G06F 15/18
US Classification:
707721, 711126, 707E17014, 711E12017, 706 12, 706 14, 706 21, 706 52
Abstract:
A predictive model is employed to schedule preemptive queries based on frequently utilized query paths in hierarchically structured data. The predictive model determining queries likely to be executed by a user or organization is generated and dynamically modified based on user or organization profiles, usage history, and similar factors. Queries are then executed according to a predefined schedule based on the predictive model and results cached. Cached results are provided to a requesting user more rapidly saving network and computing resources.

Gesture-Controlled Data Visualization

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US Patent:
20110115814, May 19, 2011
Filed:
Nov 16, 2009
Appl. No.:
12/618797
Inventors:
Scott M. Heimendinger - Seattle WA, US
Jason G. Burns - Bellevue WA, US
Assignee:
Microsoft Corporation - Redmond WA
International Classification:
G09G 5/00
US Classification:
345619, 345440, 345173
Abstract:
Architecture that establishes a set of gestural movements that can be made by a finger (by any other input device) on a touch display that allows a presenter to perform basic analytic functions of a data visualization such as a chart or a graph having one or more graphical elements for selection. The analytic functions can include changing the presentation format of the chart, choosing to include or exclude certain data, and/or displaying the details of a data point, for example. The gestures facilitate at least making changes to the chart (or graph) from one display method to another, such as to a pie chart, to a bar chart, to a line chart, etc., the selection of multiple elements of the data visualization, exclusion of all but selected elements therefrom, and the presentation of detailed information about an element.

Smart Defaults For Data Visualizations

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US Patent:
20120023101, Jan 26, 2012
Filed:
Jul 21, 2010
Appl. No.:
12/840447
Inventors:
Scott Heimendinger - Seattle WA, US
Jason Burns - Bellevue WA, US
Patrick J. Baumgartner - Kirkland WA, US
Assignee:
Microsoft Corporation - Redmond WA
International Classification:
G06F 17/30
US Classification:
707737, 707802, 707804, 707E17005, 707E17007
Abstract:
Smart defaults are provided for data visualization by creating a default layout of rows, columns, filters, and comparable elements that improve a user's experience in finding relevant answers within the data. Usage history of the ways that users look at data in various data sources, user specific information, and inferred relationships between a current user and similar users are used to determine elements relevant to visualization of data for a particular user such that the visualization process may be automatically started, and a relevance model is formed/adjusted based on these factors. Queries may also be executed in a preemptive fashion based on the relevance model and results provided to a requesting user more rapidly enhancing user experience with networked data visualization.
Scott M Heimendinger from Seattle, WA, age ~41 Get Report