Multidisciplinary Business Systems and Data Analyst skilled at translating business needs into robust technical solutions, with a focus on understanding and communicating the “whys” behind an issue. Strong information technology professional with a Bachelor of Science in Industrial Engineering, Lean Six Sigma Green Belt, and a recently completed Data Analytics and Visualization certification.
| Project Title | Description | Tools Used | Link to Project |
|---|---|---|---|
| SCOTUS Votes | Analysis and Prediction of Supreme Court Case Outcomes Based on Historical Case Data | Python with Sci-Kit Learn, Pandas, Jupyter Notebook; Tableau; HTML; Bootstrap/CSS | SCOTUS Votes (GitHub) |
| National Credit Health | ETL (Extract - Transform - Load) of national financial debt and credit data, pre-processing and database creation (SQLite), and retrieving data to create interactive graphs and maps and display in web article format. | Python, Flask, Plotly, Leaflet, SQLite | National Credit Health (GitHub) |
| CitiBike Data | Using CitiBike bike share data from Jersey City to create a visualization story in Tableau. | Tableau | CitiBike Jersey City (Tableau) |