About Me
Professional experience in collecting, analyzing, and visualizing large data sets.
Quantitative and qualitative researcher with proficiencies in JavaScript, Python, Applied Machine Learning, Natural Language Processing, D3, R, SPSS, SQL, PostgreSQL, MongoDB, HTML, and CSS.
Progressive experience leading teams, budgeting, and creating new initiatives.
Outstanding skills in teaching and presenting research.
data visualization
I recently completed my M.S. degree in data visualization to enhance my research and design skills. My work uses a wide range of research methods including machine learning, geographic information systems, and statistics.
machine learning
As a researcher, I believe its important to stay current on new research methods. Therefore, I recently completed coursework and conducted research projects using machine learning.
GIS Visualization
In Spring of 2018, I worked with with NYU Museum Studies Program to create three prototype visualizations that map the location of tribal artifacts.