Data Science Fellow
San Francisco, California, Us
Applied data wrangling, statistical inference, machine learning, and data storytelling to 20+ Jupyter Notebooks with Python/pandas. Published articles on Medium. Designed new metrics including the first comprehensive 3-point basketball statistic, 3NG, to rank NBA shooters by accuracy and volume. "Helpful Book Reviews" (Logistic Regression, CountVectorizer, Confusion Matrix) and "Predicting Cab Fare" (Neural Nets, Random Forests, LightGBM) were reviewed by an industry expert. Completed 20 DataCamp certifications covering Deep Learning, Scikit-learn, Network Analysis, Unsupervised Learning, NLP, A/B Testing, SQL, and more. Areas of study include Regularization, Recommender Systems, Naive Bayes, Time Series Analysis, Customer Segmentation, and MapReduce. Won Springboard prize for correctly estimating number of phone calls.