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ames_ia_home_prices

Cleaned and explored data to develop linear regression models with pipelines that accounted for up to 79% of variability in housing prices in Ames, Iowa

big_o_notation

forecasting_meal_delivery

Explored trends of a meal delivery service region using EDA and forecast sales with a SARIMAX model

growing_sat

Explored and visualized clean ACT/SAT datasets to identify areas of growth for the SAT College Board

subreddit_classification

Collected data using Pushshift's API to apply various NLP techniques, including Count Vectorizer, to develop a Multinomial Naive Bayes model which classified two subreddits with 98% accuracy

teamwork_aq_n_walkability

Worked with a team of data scientists to scrape and merge data, and build a linear regression model designed to determine if urban and suburban neighborhoods with high walkability had good air quality

waste_classification

Built a pre-trained neural network model with fine-tuning to classify the images of seven types of waste