Monica Rogati

Monica Rogati

Sunnyvale, California, United States
14K followers 500+ connections

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About

I'm a technical and strategic data science advisor. I often serve as a fractional data…

Activity

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Experience

  • Independent

    Sunnyvale, CA

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    Palo Alto, California, United States

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    San Francisco, California, United States

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Education

  • Carnegie Mellon University Graphic

    Carnegie Mellon University

    Applied machine learning; text mining.

    Thesis:
    Domain Adaptation of Translation Models for Multilingual Applications

    Feature selection for text classification. Cross-lingual information retrieval using parallel corpora; including full system implementation. Event Tracking; Machine Translation. DARPA GALE Distillation: grant proposal, end-to-end system design and specification, user study design, evaluation dataset design.

  • TA and lecturer for Data Structures and Algorithms (Java).

  • First in my graduating class (summa cum laude). Research in neural networks and NLP; TA for functional programming (Scheme).

Publications

Patents

  • Methods and systems for identifying similar people via a business networking service

    Issued US 8,972,414

    Techniques for identifying and presenting member profiles similar to a source member profile are described. With some embodiments, a general recommendation engine is used to extract features from member profiles, and then store the extracted features, including any computed, derived or retrieved profile features, in an enhanced member profile. In real-time, the general recommendation engine processes client requests to identify member profiles similar to a source member profile by comparing…

    Techniques for identifying and presenting member profiles similar to a source member profile are described. With some embodiments, a general recommendation engine is used to extract features from member profiles, and then store the extracted features, including any computed, derived or retrieved profile features, in an enhanced member profile. In real-time, the general recommendation engine processes client requests to identify member profiles similar to a source member profile by comparing select profile features stored in the enhanced member profile with corresponding profile features of the source member profile, where the comparison results in several similarity sub-scores that are then combined in accordance with directives set forth in a configuration file. Finally, the member profiles with the highest similarity scores corresponding with the user-selected member profile are selected, and in some instances, presented to a user.

    Other inventors
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  • Automated sentence planning in a task classification system

    Issued US 8,185,401

    Other inventors
    See patent

  • Trainable Sentence Planning System

    Issued US 7,729,918

    Other inventors
    See patent

  • Providing Recommendations to Members of a Social Network

    Filed US 13/780116

    Other inventors

  • Additional patents available from the USPTO

    US n/a

  • Methods and systems for exploring career options

    US US20120226623 A1

    Other inventors

  • Presenting Actionable Recommendations to Members of a Social Network

    US 13/780,198

    Other inventors

Honors & Awards

  • 100 Most Creative People in Business

    Fast Company

  • 2014 Big Data All-Stars

    Fortune Magazine

  • 2013 Enterprise Superstars

    VentureBeat

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