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Anjali Midha Phones & Addresses

  • 17 Saint Thomasmore Dr, Winchester, MA 01890 (781) 721-5901
  • 17 Amberwood Dr, Winchester, MA 01890
  • Boston, MA
  • New York, NY
  • Medford, MA
  • Peabody, MA
  • 17 Saint Thomasmore Dr, Winchester, MA 01890

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Position: Service Occupations

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Resumes

Resumes

Anjali Midha Photo 1

Anjali Midha

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Location:
17 Saint Thomasmore Dr, Winchester, MA 01890
Industry:
Marketing And Advertising
Work:
Diesel Labs Jan 31, 2016 - Dec 9, 2016
Chief Executive Officer and Co-Founder

Twitter Jul 1, 2014 - Dec 1, 2015
Global Media and Agency Research Director

Twitter Feb 1, 2013 - Jul 1, 2014
Head of Research, East

Baam Oct 1, 2012 - Feb 1, 2013
Vice President, Brand Products and Analytics

Baam May 1, 2011 - Sep 1, 2012
Vice President, Professional Services and Analytics
Education:
Mit Sloan School of Management Jan 1, 2005 - Jan 1, 2007
Master of Business Administration, Masters, Business
Massachusetts Institute of Technology 2007
Winsor School
Tufts University
Bachelors, Bachelor of Arts, Economics
Skills:
Mobile Devices
New Media
Seo
E Commerce
Social Media
Web Video
Strategy
Analysis
Digital Strategy
Crm
Salesforce.com
Analytics
Web Analytics
Digital Marketing
Program Management
Marketing
Management
Competitive Analysis
Start Ups
Strategic Partnerships
Digital Media
Interests:
Kids
Cooking
Investing
Outdoors
Sweepstakes
Electronics
Home Improvement
Donor
Shooting
Gourmet Cooking
Sports
Reading
Automobiles
Golf
Home Decoration
Anjali Midha Photo 2

Anjali Midha

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Publications

Us Patents

Topic And Time Based Media Affinity Estimation

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US Patent:
20130018896, Jan 17, 2013
Filed:
Jul 13, 2012
Appl. No.:
13/548901
Inventors:
Michael Ben Fleischman - Somerville MA, US
Deb Kumar Roy - Arlington MA, US
Jeremy Rishel - Maynard MA, US
Anjali Midha - Winchester MA, US
Matthew Miller - Malden MA, US
Assignee:
BLUEFIN LABS, INC. - Cambridge MA
International Classification:
G06F 17/30
US Classification:
707748, 707E17044
Abstract:
An affinity server estimates an affinity between two different time based media events (e.g., TV, radio, social media content stream), between a time based media event and a specific topic, or between two different topics, where the affinity score represents an intersection between the populations of social media users who have authored social media content items regarding the two different events and/or topics. The affinity score represents an estimation of the real world affinity between the real world population of people who have an interest in both time based media events, both topics, or in a time based media event and a topic. One possible threshold for including a social media user in a population may be based on a confidence score that indicates the confidence that one or more social media content items authored by the social media user are relevant to the topic or event in question.

Topic And Time Based Media Affinity Estimation

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US Patent:
20140052740, Feb 20, 2014
Filed:
Oct 30, 2013
Appl. No.:
14/067589
Inventors:
Deb Kumar Roy - Arlington MA, US
Jeremy Rishel - Maynard MA, US
Anjali Midha - Winchester MA, US
Matthew Miller - Malden MA, US
Assignee:
Bluefin Labs, Inc. - Cambridge MA
International Classification:
G06F 17/30
US Classification:
707748
Abstract:
An affinity server estimates an affinity between two different time based media events (e.g., TV, radio, social media content stream), between a time based media event and a specific topic, or between two different topics, where the affinity score represents an intersection between the populations of social media users who have authored social media content items regarding the two different events and/or topics. The affinity score represents an estimation of the real world affinity between the real world population of people who have an interest in both time based media events, both topics, or in a time based media event and a topic. One possible threshold for including a social media user in a population may be based on a confidence score that indicates the confidence that one or more social media content items authored by the social media user are relevant to the topic or event in question.

Topic And Time Based Media Affinity Estimation

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US Patent:
20220335077, Oct 20, 2022
Filed:
Apr 11, 2022
Appl. No.:
17/717887
Inventors:
- Cambridge MA, US
Deb Kumar Roy - Arlington MA, US
Jeremy Rishel - Maynard MA, US
Anjali Midha - Winchester MA, US
Matthew Miller - Malden MA, US
International Classification:
G06F 16/40
G06F 16/435
G06Q 50/00
G06Q 30/02
Abstract:
An affinity server estimates an affinity between two different time based media events (e.g., TV, radio, social media content stream), between a time based media event and a specific topic, or between two different topics, where the affinity score represents an intersection between the populations of social media users who have authored social media content items regarding the two different events and/or topics. The affinity score represents an estimation of the real world affinity between the real world population of people who have an interest in both time based media events, both topics, or in a time based media event and a topic. One possible threshold for including a social media user in a population may be based on a confidence score that indicates the confidence that one or more social media content items authored by the social media user are relevant to the topic or event in question.

Topic And Time Based Media Affinity Estimation

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US Patent:
20200372059, Nov 26, 2020
Filed:
Aug 13, 2020
Appl. No.:
16/993216
Inventors:
- Cambridge MA, US
Deb Kumar Roy - Arlington MA, US
Jeremy Rishel - Maynard MA, US
Anjali Midha - Winchester MA, US
Matthew Miller - Malden MA, US
International Classification:
G06F 16/40
G06F 16/435
G06Q 50/00
G06Q 30/02
Abstract:
An affinity server estimates an affinity between two different time based media events (e.g., TV, radio, social media content stream), between a time based media event and a specific topic, or between two different topics, where the affinity score represents an intersection between the populations of social media users who have authored social media content items regarding the two different events and/or topics. The affinity score represents an estimation of the real world affinity between the real world population of people who have an interest in both time based media events, both topics, or in a time based media event and a topic. One possible threshold for including a social media user in a population may be based on a confidence score that indicates the confidence that one or more social media content items authored by the social media user are relevant to the topic or event in question.

Topic And Time Based Media Affinity Estimation

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US Patent:
20180018327, Jan 18, 2018
Filed:
Jul 27, 2017
Appl. No.:
15/662106
Inventors:
- Cambridge MA, US
Deb Kumar Roy - Arlington MA, US
Jeremy Rishel - Maynard MA, US
Anjali Midha - Winchester MA, US
Matthew Miller - Malden MA, US
International Classification:
G06F 17/30
G06Q 30/02
G06Q 50/00
Abstract:
An affinity server estimates an affinity between two different time based media events (e.g., TV, radio, social media content stream), between a time based media event and a specific topic, or between two different topics, where the affinity score represents an intersection between the populations of social media users who have authored social media content items regarding the two different events and/or topics. The affinity score represents an estimation of the real world affinity between the real world population of people who have an interest in both time based media events, both topics, or in a time based media event and a topic. One possible threshold for including a social media user in a population may be based on a confidence score that indicates the confidence that one or more social media content items authored by the social media user are relevant to the topic or event in question.

Topic And Time Based Media Affinity Estimation

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US Patent:
20150193437, Jul 9, 2015
Filed:
Mar 20, 2015
Appl. No.:
14/664719
Inventors:
- Cambridge MA, US
Deb Kumar Roy - Arlington MA, US
Jeremy Rishel - Maynard MA, US
Anjali Midha - Winchester MA, US
Matthew Miller - Malden MA, US
International Classification:
G06F 17/30
Abstract:
An affinity server estimates an affinity between two different time based media events (e.g., TV, radio, social media content stream), between a time based media event and a specific topic, or between two different topics, where the affinity score represents an intersection between the populations of social media users who have authored social media content items regarding the two different events and/or topics. The affinity score represents an estimation of the real world affinity between the real world population of people who have an interest in both time based media events, both topics, or in a time based media event and a topic. One possible threshold for including a social media user in a population may be based on a confidence score that indicates the confidence that one or more social media content items authored by the social media user are relevant to the topic or event in question.
Anjali C Midha from Winchester, MA, age ~45 Get Report