Adeyemi Ajao

Adeyemi Ajao

San Francisco, California, United States
18K followers 500+ connections

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About

Managing Partner, Base10 Partners

Co-Founder of Identified (Acquired by Workday)…

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Activity

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Experience

  • Base10 Partners Graphic

    Base10 Partners

    San Francisco Bay Area

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    San Francisco Bay Area

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    Madrid

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    San Francisco

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    Madrid, Community of Madrid, Spain

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    Madrid

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    London, United Kingdom

Education

  • Stanford University Graphic

    Stanford University

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    Took Andrew Ng Machine learning course. Complemented with coursework in Data Science, Python & R Programming.

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    Full scholarship awarded by the Ramon Areces foundation for academic excellence.

    (http://www.fundacionareces.es/fundacionareces/portal.do?TR=C&IDR=340)

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    Activities and Societies: Completed coursework at London School of Economics (U.K.), Georgetown University, Emory University, University of California San Diego (U.S.), Goethe Institut Freiburg (Germany)

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Patents

  • METHOD FOR SYSTEMATIC MASS NORMALIZATION OF TITLES

    Filed US 13/953,444

    This relates to methods and systems for normalizing raw text entities so as to easily search, analyze, and aggregate entities that are semantically equivalent. Entity normalization may be done by breaking raw entities into sets of n-grams, assigning attributes and labels to each n-gram, and using these attributes and labels to map each raw entity to a corresponding canonical entity. A raw entity may be any string of text, prior to any processing. An n-gram may be a set of one or more contiguous…

    This relates to methods and systems for normalizing raw text entities so as to easily search, analyze, and aggregate entities that are semantically equivalent. Entity normalization may be done by breaking raw entities into sets of n-grams, assigning attributes and labels to each n-gram, and using these attributes and labels to map each raw entity to a corresponding canonical entity. A raw entity may be any string of text, prior to any processing. An n-gram may be a set of one or more contiguous words contained within a entity. An attribute may represent one aspect of the semantics of a entity. A label may be a word that is assigned to an attribute and may provide information related to that attribute. Together, the labels and attributes can capture key semantic information about a entity. A canonical entity may be a entity that is used to represent a set of semantically similar raw entities

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Honors & Awards

  • Additional Honors & Awards

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    * Recognized by U.S. Immigration as "Alien of Extraordinary Ability". Awarded Green-Card 2012
    * Awarded Fundacion Ramon Areces 2009 full scholarship to attend Stanford GSB
    * Awarded British Petroleum 2005 Scholarship for sustainable development
    * Selected for the Procter & Gamble 2004 European Information Technology Seminar

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