Click here to access my GitHub project portfolio:


🔢 Claude skills for mathematical visualization 🔢

🏆 Won 1st place and $1,000 prize at Vanderbilt’s AI Showcase Competition 2026 🏆

  • In this project, I built two Claude skills that help students understand formal mathematical algorithms through pseudocode extraction and step-by-step numerical examples
  • Skills: Python, LaTeX, Claude skill development, formal mathematical algorithms


🍽️ Brooke’s Meal Planner AWS Agent 🍽️

  • In this project, I built an agentic LLM-powered web app that helps a single person plan weeknight dinners, reduce food waste, and generate grocery lists with real package sizes and store-specific prices
  • Skills: Python, AWS (Lambda, DynamoDB, Bedrock), agentic AI, REST API integration (Spoonacular, Kroger), HTML/CSS, web development


🚕 NYC taxi demand prediction with distributed Spark 🚕

  • In this project, I built a distributed Spark pipeline on Google Cloud Dataproc to predict hourly taxi pickup demand from 12.75 million NYC Yellow Taxi trips
  • Skills: Python (PySpark, MLlib), distributed computing, Google Cloud Dataproc, feature engineering, linear regression, decision tree, random forest


🚫 Naive Bayes spam detection web app and Chrome extension 🚫

  • In this project, I built an email spam detection system using a Naive Bayes model implemented from scratch, deployed as both a Flask web app and a Chrome browser extension
  • Skills: Python (Flask), machine learning from scratch, natural language processing, Chrome extension development, web development


💻 Email sentiment analysis tool 💻

  • In this project, I built a BERT-powered flask app designed for individuals with cognitive disabilities
  • Skills: Python (Flask), natural language processing, transformers, web development, HTML, CSS, UI/UX design


🩻 Pneumonia diagnosis using chest x-ray images 🩻

  • In this project, I performed SVD and fine-tuned 4 classification models to identify pneumonia in x-ray scans
  • Skills: Python (NumPy, Pandas, Scikit-Learn, OpenCV), image processing, dimension reduction by singular value decomposition, logistic regression, random forest, k nearest neighbors, support vector machines, hyperparameter tuning


🩺 Predicting life expectancy using PCA and LASSO regression 🩺

  • In this project, I performed PCA and built a LASSO regression model to predict life expectancy
  • Skills: R (Tidyverse, GGplot2), data wrangling, dimension reduction by principal component analysis, LASSO regression, data visualization, statistical significance/normality testing


🌙 Predicting sleep efficiency using linear regression 🌙

  • In this project, I built a linear regression model to predict sleep efficiency
  • Skills: R (Tidyverse, GGplot2), data wrangling, linear regression, data visualization, statistical significance/normality testing


💧 TDEC water quality data analysis 💧

  • In this project, I identified temporal, spatial, and seasonal water quality trends using 33 years of data across 86 monitoring sites in Tennessee
  • Skills: Python (Pandas, Seaborn, Matplotlib), data wrangling, data visualization, data analysis