I am a data scientist, outdoor enthusiast, and advocate for computer science education for all.
I taught high school math and computer science in Los Angeles public schools for five years, with a focus on culturally responsive pedagogy and college readiness. In Summer 2021, I completed an immersive Data Science and Engineering bootcamp at Metis, where I honed my skills in data wrangling, statistical modeling, and machine learning techniques.
I now serve as a Data Science Coach for Multiverse, a fast-growing ed-tech start-up that seeks to expand equitable pathways to high-paying tech careers for non-traditional learners.
You can find me carrying a stats book while backpacking across Yosemite -- or collaborating with like-minded educators over coffee and Zoom!
Topic Modeling with Jeopardy! Trivia
Performed topic modeling on 200K questions from Jeopardy! archives. Deployed a quiz app to help people study -- or just have fun!
Github | Final Report | Web App
Predicting Home Prices in Los Angeles
Compared linear, ridge, and polynomial regression models to predict LA home prices based on 10K scraped Zillow listings.
Exploring Subway Growth in Post-Pandemic NYC
Exploratory data analysis of NYC subway traffic with data manipulation using SQLite, Pandas, Seaborn, MatPlotLib, GeoPandas.
Instacart Basket Market Analysis
Predicted whether a user will add-to-cart by utilizing classification algorithms and engineering features to optimize f1-score.
Mapping Extreme Weather Events in the US
Used SQL to process 1.2 million weather events and engineered geospatial features to investigate the costs of climate change.
Culturally Relevant Teaching in CS Education
Develop peer-to-peer professional learning experiences focused on addressing equity and inclusion in CS classrooms.
Workshop 1 | 2 | 3
How to Thrive and Succeed in a Coding Bootcamp. Before You Begin...
by Elizabeth Naameh, August 2021