Data Scientist
New York, Ny, Us
Created several projects ranging from regression analysis of illegal torrent files, digit recognition/classification of numbers in photographs, to natural language processing of resume cosine similarity during a twelve-week intensive data science bootcamp. Worked through a number of problems using data mining, supervised (support vector machines, decision trees, random forests, k-nearest neighbors) and unsupervised (natural language processing, k-means) machine learning estimators, statistical inference, Bayesian statistics, big data processing, and cloud computing.■ Libraries utilized: Python, Scikit-Learn, SciPy, NumPy, Pandas, BeautifulSoup, Selenium, PostgreSQL, MongoDB, Apache Hadoop, and Spark