Melissa Santos
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🎓Education

BS Computer Science at University of California, Riverside
September 2015 - June 2019
Overall GPA: 3.33 Major GPA: 3.56

💻My Projects

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Proximity 

    Built with:

Proximity is a location based webapp mimicking the social app Nearby. Developed by a team of 4 over a 10 week period using Agile methodology.

  • Tracks location upon login and can shows nearby users.
  • Marketplace that gives users a convenient way to buy and sell.
  • Feed that shows the posts of friends and nearby people.

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Twitter Search 

    Built with:

TwitterSearch is webapp for querying geotagged Tweets. Tweets are scrapped using Python Twitter Tools and stored locally. The tweets are then indexed by ElasticSearch and stored in a database. Users can then query the tweets with optional distance and sorting parameters.


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Mechanic Shop Database 

    Built with:

A database management system that helps keep track of important business information for a fictious mechanic shop. It keeps track of current customers, vehicles, and employees. The system is built in Java and uses a PostGreSQL database. It uses a command line interface.

📕Skills

Programming Languages

  • Python
  • C++
  • C
  • Javascript

Markup Languages

  • HTML5
  • CSS3
  • LaTex

Frameworks

  • Django
  • Bootstrap

Tools

  • Git
  • Vim
  • Linux
  • Visual Studio