Genenal Assembly
Feb 2019 - May 2019
Completed General Assembly’s full-time, Data Science Immersive, which included over 500 hours of instruction and professional training. Utilized a hands-on approach to focused on real-world applications of Python, Data Mining, NLP, Supervised and Unsupervised Learning. Developed a portfolio of individually and collaboratively focused in-class projects using: Python to clean and sort Iowa Housing Data to build a model for finding real estate features to predict housing prices with 90% accuracy; Reddit’s API to build a model to predict where comments from 2 subreddits originated using Natural Language Processing.