: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:
• 🌐  
• ⚙️  
• 💻  

📝 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 OKCupid.com 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

Credit: Jiji C.

Last edited on: 06/03/2021