Tyler Williams Email and Phone Number

Highly immersive Data Science program involving 400+ hours of training in data strategy and hands on experience in machine learning, big data, advanced statistics and analytics, Python and R development, various model ensembling and stacking strategies, deep learning, visualization, Unix, SQL, Git/GithubProjects:- Built pipeline to scrape unstructured data for various products from six different websites for a major lock producer. Performed NLP, including LDA and t-SNE, to provide company with insights from data- Predicted housing prices using two different meta-models. Each meta-model was composed of four optimized base models (Lasso, Ridge, Random Forest, Gradient Boosting). The first model was ensembled by averaging and the second was ensembled by stacking. Engineered features to improve performance of models- Scraped unstructured data on all ICOs that occurred in last two years. Analyzed time series data to calculate the expected value of investments using two different strategies: buy and hold, flipping- Built an interactive Shiny app allowing users to visualize where various species are located in North America, the distribution of species in 60 U.S. National Parks and compare parks using various metrics

- Ran a trading book speculating on intraday price movements while managing risk- Conducted research daily to generate trading ideas- Analyzed performance data to improve strategies