Sydney Greenspun - Computational Linguist

Hello, I'm Sydney Greenspun

Computational Linguist bridging language and technology

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About Me

I grew up in the suburbs of Los Angeles, CA. Being raised in such a linguistically diverse city inspired me to pursue a degree in linguistics. While studying for my bachelor's, I discovered my love for computer science through computational linguistics courses. I've since combined both passions through internships in frontend development, localization, and Natural Language Processing (NLP). I hold a B.A in Linguistics and an M.S in Human Language Technology from the University of Arizona, where I also completed a Graduate Certificate in Natural Language Processing.

My Skills

Here's a breakdown of the technical skills and tools I've acquired throughout my journey.

Programming & Scripting

  • Python NumPy, Pandas, Scikit-learn, TensorFlow
  • JavaScript Vanilla, DOM Manipulation
  • SQL Database Queries, Data Manipulation

Web Technologies

  • HTML5 Semantic Structure
  • CSS3 Flexbox, Grid, Responsive Design
  • Version Control Git, GitHub

Data & ML

  • Analysis Excel, Tableau
  • NLP Preprocessing, Training
  • ML Classify, Regress, Cluster

Tools & Platforms

  • IDEs VS Code, Jupyter Notebooks
  • Cloud Platforms
  • Project Management

Experience

Highlights of my professional journey and the roles I've held.

Localization Intern (Summer 2024)

  • Collaborated with a global team to localize media content for various international markets, ensuring cultural and linguistic accuracy.
  • Presenting complex AI data to clients using Excel and Powerpoint
  • Utilized internal tools and platforms like Tableau to track project progress, metrics, and bench marks.

Front End Intern (Summer 2025)

LetzChat

Projects

Wildfire

Wildfire Causes

#machinelearning #dataviz

Predicted the causes of wildfires with a dataset of over 2.3 instances.

  • Large scale Exploratory Data Analysis (EDA)
  • Random Forest Classifier
  • Feature engineering
Link to Project
Languages

Language Detection

#NLP #pre-processing-text

A model that predicts the language of inputted text based on data of over ten languages.

  • Tokenization and text pre-processing
  • Multinomial Naive Bayes model and vectors
  • 96% accuracy on testing data
Link to Project
Website

This Website

#HTML #CSS #Webdesign

This website was created with the help of LetzChat and consulting with W3Schools and AI

  • HTML5
  • CSS3
  • JavaScript
Link to Project Read Me
Translate

Ground-Up Translator

#API #JavaScript

Built my own website translator using Google Cloud Translate API. Along with that, it has features to do not translate certain words and to detect languages

  • Google Cloud API
  • REST API
  • Javascript
Link to Project Read Me
Languages

Language Wiki

#Python #SQL #Software Program

Created an interactive webpage that allows users to search and learn about languages

  • Ethical webscraping and SQL database implementations
  • Use of Docker, DB management programs, thorough testing
  • Python, JavaScript, HTML, Flask API
Link to Project

Contact

I'd love to connect! Feel free to reach out via the methods below.

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