Maia Brenner

Maia Brenner

United States
9K followers 500+ connections

About

Builder and dreamer with 8+ years of hands-on experience in AI/ML.

Data-driven…

Activity

Join now to see all activity

Experience

  • Flipzen Graphic

    Flipzen

    Nueva York y alrededores

  • -

  • -

    Remoto

  • -

    Estados Unidos

  • -

    Montevideo, Uruguay

  • -

    Uruguay

  • -

    Montevideo, Uruguay

  • -

    Barcelona y alrededores, España

  • -

    Uruguay

  • -

    Uruguay

  • -

  • -

Education

  • Barcelona School of Economics Graphic

    Barcelona Graduate School of Economics

    -

    -

    Relevant courses: Machine Learning, Stochastic Models and Optimization, Data
    Warehousing and Business Intelligence, Topics in Big Data Analytics.

    Degree awarded by Universitat Pompeu Fabra and Universitat Autònoma de Barcelona

  • -

    -

  • -

    -

Licenses & Certifications

Volunteer Experience

  • Math and English teacher

    Nirvana School, Pondicherry, India

    - Present 10 years

    Education

  • Youth Movement Leader

    Jazit Hanoar

    - 2 years

    Education

Publications

  • Women in congress: an analysis of topic differences between genders through Natural Language Processing

    Barcelona Graduate School of Economics

    The purpose of this paper is to discover the differences between men and women regarding the topics discussed in the United States Congress. This paper explores both the
    distribution of topics discussed among men and women in terms of frequency as well as
    how those topics are discussed from a content perspective. In order to do so, Natural Language Processing techniques have been applied to a unique data set which comprised of
    the daily records of the United States Congress from the…

    The purpose of this paper is to discover the differences between men and women regarding the topics discussed in the United States Congress. This paper explores both the
    distribution of topics discussed among men and women in terms of frequency as well as
    how those topics are discussed from a content perspective. In order to do so, Natural Language Processing techniques have been applied to a unique data set which comprised of
    the daily records of the United States Congress from the 97th session (1981-1983) to the
    114th session (2015-2016). A Structural Topic Model with more than 2,500,000 documents have been estimated identifying that, even when controlling for the party, chamber,
    year, state and whether the candidate won in a close election, Congresswomen talk significantly more about Health, Budget/Taxes, Infrastructure and Technology, Emergency Relief/Refugees, Foreign Governments, Agriculture/Water, Election Reform, Human Rights,
    and Crime, while Congressmen talk significantly more about The Constitution, War, The
    Economy/Natural Disasters, Funding of Departments and National Parks. Furthermore,
    within topics women are more likely to focus on how the legislation they are discussing
    will affect citizens and individual lives, whereas men focus on the general discussion and
    administrative aspect of the legislation. These differences appear to be consistent over the
    past four decades

    See publication
  • Gender gap in the choice of upper secondary courses in Uruguay

    Instituto de Economía, Facultad de Ciencias Económicas y Administración, Universidad de la República

    In order to contribute in the understanding of the factors that account for the underrepresentation of women in STEM fields and courses in Uruguay; discrete choice models (probit) and multinomial logistic models have been estimated using a retrospective survey applied in 2014 to Uruguayan young students who took the PISA test in 2009. Demonstrating that there is an existing leaky pipeline.

    See publication

Courses

  • University of Tel Aviv

    -

Languages

  • Español

    Native or bilingual proficiency

  • Ingles

    Native or bilingual proficiency

  • Portugués

    Professional working proficiency

  • Hebreo

    Elementary proficiency

More activity by Maia

View Maia’s full profile

  • See who you know in common
  • Get introduced
  • Contact Maia directly
Join to view full profile

Other similar profiles

Explore top content on LinkedIn

Find curated posts and insights for relevant topics all in one place.

View top content

Add new skills with these courses