Modeling COVID-19 Spread at UCLA
Projecting Hospital Resources Required at UCLA during COVID-19
Developed story that maps hospitals in LA with information about the number of hospital beds and a chart projected into the future to estimate how the spread of COVID-19 within the UCLA community (if it opened up) would impact the local hospital capacity.
Timeline Comparing School's Responses to COVID-19
Developer a bar chart race showing the explosion of cases in the surrounding county of each college, with annotations for school's response events like switching to online instruction, postponing graduation, etc.
Mapping Opening Status of Local Businesses
Scraped information about local businesses and plotted on map using Leaflet.
Analysis of Presidential Candidates Using Their Twitter
Scraped twitter feeds of all US Presidential Candidates, and generated Personality Insights using IBM Watson's Personality Insights API. Also developed interactive bubble and bar charts using ChartJS, along with front-end component to display information about personality traits and keywords most frequently used by candidates
Hidden Student Costs
Effects of Fracking on Public Schools
Used QGIS to plot public schools and oil wells and create buffers of overlapping regions. Also created a choropleth map showing correlation between income distribution and the likelihood of a school being near an oil well
Analyzing Crime in Los Angeles
Worked with a dataset about crime in LA to derive meaningful insights and present a Medium post. Used Python libraries like pandas and matplotlib to describe factors that make you more likely to get arrested, including time, age, location and gender with highest frequency of arrests and a heatmap describing spread of crime created using ggplot in R.