Maelle Vance

Seattle, Washington, United States Contact Info
508 followers 500+ connections

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Activity

Experience & Education

  • Microsoft

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Volunteer Experience

  • Django Girls Graphic

    Coach

    Django Girls

    Education

    Volunteer as a coach during Django Girls Seattle workshop to teach women to build their first Python app from scratch.

Courses

  • Algorithmic Toolbox, Coursera

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  • Introduction to Bioethics, EdX

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  • Python Data Structures, Coursera

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  • United States Health Policy, EdX

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  • Vaccinology, Institut Pasteur

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Projects

  • PyPhon

    - Present

    The Pyphon [pronounced py-phone] is a smartphone built on a Raspberry Pi and the Django Framework.

    The Pyphon can send and receive sms as well as make and receive calls.
    It was built using Raspberry Pi3 with Raspbian Jessie OS, PiTFT Touch Screen, a mini USB Microphone, Python, Django, Django REST framework, Postgres, JQuery, Bootstrap, Twilio, Ngrok, Heroku, Unittest, Travis CI, Coveralls

    Source code and documentation available at: https://github.com/pyphonic/Pyphon

    Other creators
  • PyListener

    Visual communication tool in the form of a web-based app intended for use in-browser on mobile platforms to assist users with communication disabilities.
    The user can manage their own pictograms and contact list. When a sentenced is finished, the user can share it with his interlocutor via text display, email or SMS.

    Built with Python, Pyramid, Postgres, Pytest, Yagmail and Twilio.

    Other creators
    See project
  • Friend or Freeze

    A mobile-focused sentiment analysis app that lets users search the area they live to determine whether local Twitter users are having good or bad days, and how likely they may be to make a friend.

    The user will be returned a "Positive, Negative or Neutral" outcome with several tweet examples along with them.

    App built with JavaScript, Twitter, SQL, Express, Google Maps API, OAuth, HTML5, CSS, jQuery, Handlebars, Page.js and Chart.js

    Project deployed at:…

    A mobile-focused sentiment analysis app that lets users search the area they live to determine whether local Twitter users are having good or bad days, and how likely they may be to make a friend.

    The user will be returned a "Positive, Negative or Neutral" outcome with several tweet examples along with them.

    App built with JavaScript, Twitter, SQL, Express, Google Maps API, OAuth, HTML5, CSS, jQuery, Handlebars, Page.js and Chart.js

    Project deployed at: https://friend-or-freeze.herokuapp.com/

    Other creators
    See project

Languages

  • French

    Native or bilingual proficiency

  • English

    Native or bilingual proficiency

  • German

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