Welcome
In May of 2018, I received an M.S. degree in Data Visualization from Parsons School of Design. After completing my degree, I became a fellow for the Zolberg Institute on Migration and Mobility and worked for the International Rescue Committee in the Middle East. Currently, I am working as a Data Scientist at New American Economy, a bipartisan research and advocacy organization fighting for smart federal, state, and local immigration policies. This portfolio includes several data visualization projects that I completed as a professional data scientist and graduate student.
Aging Workforce
From our biggest cities to the heartland, immigration is increasingly important in keeping many parts of America growing. I designed this data visualization as a data scientist at New American Economy. The purpose of this data interactive is to highlight the importance of immigrants in the U.S. workforce by breaking down population data by age for every year between 2000 and 2018
Immigrant Essential workers at Risk
Many immigrants serve as frontline medical and essential workers in our nation’s response to the COVID-19 crisis. This data interactive highlights the occupations most at risk of coronavirus infection by taking into account the worker’s physical contact with others and on-the-job exposure to disease and infection. Using these same measures, we examine how many of these jobs are also jobs in which immigrant workers tend to work at higher rates.
New American Fortune 500
Immigrant entrepreneurs have long been an important part of America’s economic success story. Some of the largest and most recognizable American companies were founded by immigrants or the children of immigrants, including household names such as Apple and Costco, as well as newcomers to the Fortune 500 list like TD Ameritrade and Corteva.
Stem Education
Using unsupervised machine learning (K-means clustering) and natural language processing, I identified seven professional identity themes of 466 math and science teachers.
Jordan’s Refugee Population
Jordan (population 9.7 million) serves an important role for the international community by receiving high numbers of refugees from the region. This visualization allows the user to explore both the population size and percentages of these populations for the eleven countries with the highest levels of migration from 1991-2016.
syrian Refugee Healthcare
As part of my Zolberg Fellowship, I studied the healthcare seeking behavior of Syrian refugees living in Jordan. The purpose of my study was to describe how urban Syrian refugees make healthcare decisions for themselves and their family members while navigating through a fragmented healthcare system. This visualization organizes the comments from interviews and focus groups from my study. I wrote several entries about my experience in Jordan on my blog.
UNDP Project
In Fall of 2017, I developed and presented an interactive web-based data visualization using D3 for the United Nations Development Programme that highlighted the differences in education between males and females in sub-Saharan Africa.
Shadow Lines
In Spring of 2018, I worked with NYU’s Museum Studies Program using GIS data to design interactive maps that locate Native American artifacts for three tribal communities within the U.S. Three prototypes were created using three different GIS visualization tools.
Entrepreneur Genome
For The New School Entrepreneur Genome Project, I used JavaScript to collect data from LinkedIn to create an interactive data visualization with D3 to identify common titles of over 1800 New School alumni entrepreneurs as initial steps to a multi-year research project with a goal to create a website that highlights the social and cultural influences of New School alumni who became entrepreneurs.
World's Best City
This project visualizes city quality of life indices to help the user decide and choose the world's best city. Fourteen cities were selected for this project based on three popular top ten lists: Conde Nast Traveler, Economist Intelligence Unit, and Pricewaterhouse Cooper. Once selected, eight indices from Numbeo’s Quality of Life Quarterly Report and the United Nations were used to create radar graphs for each city.