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Welcome Banner


:woman:  About Me

  • 😄 Pronouns: She/Her/Hers
  • 🔭 I’m currently working on: an NLP sentiment analysis project
  • :heart: My favorite language: SQL
  • 🌱 I’m currently learning: nueral nets and Mandarin
  • 👯 I’m always looking to collaborate with: scientist from any field
  • 💬 Ask me about: anything, I am happy to help
  • 🌍 I support: Latinas in Tech, AllStar Code, The Foundation to Decrease Worldsuck
  • 💜 Interests: philosophy, travel, dachshunds, internet culture, video games, Star Trek
  • ⚡ Fun fact: My ultimate dream is to be on Star Trek and dawn a yellow uniform. 🖖

🛠  Tech Stack

  • :space_invader: Python POSTGRESQL MSExcel
  • 🌐   HTML5 CSS JavaScript
  • ⚙️   Git GitHub Markdown
  • 💻   Windows iOS

📝 Recent Projects

Using Dating Profiles to Predict Occupation:

Machine learning prediction model using logistic regression to predict a users observations using the various features used on their OKCupid dating profile. Data collected from in the San Francisco Area.
Libraries Utilized: Scikit-Learn, Pandas, Statsmodel, Numpy, Matplotlib, Seaborn, Scipy

Kings County Housing Price Prediction:

Linear regression modeling for housing price prediction in King County, WA, USA, which is the greater Seattle Area.
Libraries Utilized: Scikit-Learn, Pandas, Statsmodel, Numpy, Matplotlib, Seaborn

Yelp ETL Project Analysis:

EDA of Yelp API data for Flatiron School Data Science Immersive Program.
Libraries utilized: Pandas, Numpy, Matplotlib, Seaborn

🤝🏻  Connect with Me

LinkedIn  Twitter  Medium  Gmail 

stats card guy


Credit: Jiji C.

Last edited on: 06/03/2021

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