Student
Remote
• U.F.C. Predictor project - created a Dash App that allows the user to select two Ultimate Fighting Championship fighters and predicts the winner with a good level of accuracy (sklearn, XGBoost, shap, pgpbox) - http://ufcpredict.stromsy.com/• Twitoff Project (making twitter probability predictions) - deployed a flask app allowing the user to enter text and determine which twitter account is more likely to tweet it (logistic regression, basilica.ai, redis) - http://twitoff.stromsy.com• AirPrice - Analyzed AirBnB listings in Berlin and utilized a XGBRegressor to determine the optimal price at which an owner should rent out their property - https://github.com/build-week-optimal-pricing/Data-science • Completed units on pandas, linear algebra, statistics, predictive modeling, NLP, and Keras