Data Scientist with M.A. in sociology, B.A. in environmental sociology, and 5+ years' experience teaching statistics. Completed TripleTen's 10 month data science bootcamp and a real-world data science externship with DataSpeak. Currently accepting data analysis and statistics consulting projects May 2024.
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Deep learning, neural-network-driven web app that correctly classifies images as farm, solar field, neighborhood, or lake.
Web App - Project Overview - Project Code on Github
An AI customer service chatbot that uses Llama-2 and Retrieval Augmented Generation to answer questions based on information learned from a dataset.
Project Overview - Project on Github - App Code
Imbalanced classification project, using Pipelines, XGBoost, LightGBM, AdaBoost, and class balancing techniques to maximize ROC-AUC when predicting customer churn.
Project Overview - Project Code on Github
First place in the Jingle Bell Code Jam, December 2023. Analyzed geo-location data to optimize a route around the world, then collaborated with software engineers to deploy the solution on a webpage.
Project Overview - Project Code on Github
Regression machine learning project using Catboost and LightGBM to minimize RMSE and computation time when predicting used car prices.
Project Overview - Project Code on Github
Natural language processing project classifying moview reviews by polarity, using NLTK, spaCy, and BERT language processing.
Project Overview - Project Code on Github
Uses high-level plotly visualizations of coffee quality across the world to determine which region, variety, and altitude produce the best quality coffee.
Project Overview - Project Code on Github
Statistics and research methods tutoring for high school and college students levels introductory - advanced.