Below is a list of all my significant projects, and a list of articles I've written. Please feel free to reach out to me if
you have any questions!
The NSCH is a household survey that produces national
and state-level data on the physical and emotional health of children 0 - 17 years old in the United States.
In the NSCH survey data is a question that asks:
- Has a doctor or other health care provider EVER told you that this child has… Attention Deficit Disorder or
Attention-Deficit/Hyperactivity Disorder, that is, ADD or ADHD?
In this project, I create a tool that can give the probability that a child from the NSCH survey has ADHD, but is
undiagnosed.
The (fictional) Cyclops Hospital Network (CHN) has 31 locations where pediatric patients who potentially have viral or bacterial pneumonia may seek diagnosis and care. Given certain symptoms and the severity of those symptoms, many of those patients will undergo X-ray imaging of the chest.
Given that a CHN radiologist has a maximum of 12 hours to review these images and the initial assessment of the imaging
is done by either an emergency room physician or an urgent care practitioner, who may be less accurate in diagnosing
pneumonia via imaging, CHN wishes to create a decision support tool (DST) using a neural network in order to check the
assessment of the emergency room and urgent care physicians.
The fictional mayor of the fictional city, Goat city, TN, is ordering Covid vaccines, and is fully aware that not
everyone will choose to get vaccinated. Goat city wants to know how many Covid vaccines they should be ordering. They
hired my team, the Flatiron GOATS, to assist them with this task.
The city of Seattle is looking to improve low property value neighborhoods. They want to know which neighborhoods would
benefit the most from the grants, and what the grants should be used for. We used a dataset of individual houses
from King County in Washington state. Using this data, we used linear regression modeling to make recommendations to
the city of seattle on which features of a home will increase the property value the most.
The goal of this project is to provide actionable insights to the head of Microsoft's new fictional movie studio.
We used data from Box Office Mojo, IMDB, Rotten Tomatoes, TheMovieDB, and The Numbers. After analyzing the data the
group decided to recommend a genre of movie to make, which month to release the movie in, and how long the movie should be.
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent