Creative problem solver with a passion for data visualization, analytics and process improvement. A firm believer in the power of data to get new insights and implement business improvements.
Tableau, Power BI, Python, SQL, MongoDB, HTML, CSS, Javascript, Git
Using the Ames House Prices dataset to formulate a machine learning model to predict housing sale prices via regression techniques, features selection and regularization. We will then use our selected model to help end users predict future house prices via our website.
Code Live DemoUsing unsupervised algorithms, specifically clustering algorithms, to create a report that includes what cryptocurrencies are on the trading market and how they could be grouped to create a classification system for the Advisory Services Team at Accountability Accounting.
Code Live DemoUsing Leaflet.js Application Programming Interface (API) to populate geographical maps with GeoJSON earthquake data from a URL. Each earthquake will be visually represented by a circle and color, where a higher magnitude will have a larger diameter and will be darker in color. In addition, each earthquake will have a popup marker that, when clicked, will show the magnitude of the earthquake and the location of the earthquake.
Code Live Demo