Mississippi Jail Projections: Understanding the Bailable Population
Supports The Bail Project's expansion into Mississippi by analyzing the
pretrial population and identifying individuals eligible for bail assistance.
Scrapes jail roster data daily from 17 Mississippi counties
that publish records online.
Processes and feeds collected data into an interactive analysis tool for
insights.
Provides data-driven insights on jail demographics, bail amounts, and trends
based on county, charges, and other factors to help allocate resources
effectively.
Created website using GitHub Pages and React to connect
technologists
to socially impactful opportunities and provide a forum for impact-driven students to interact
(4,000 monthly users).
Selected in top 5% of teams to receive a $7,500 grant and mentorship
from
top serial entrepreneurs for Mozilla’s MVP Lab.
Won $30,000 grant from New America to expand the website and research
pathways
in public interest technology.
Interactive installation developed with Prof. Ben Aranda & Cooper Union
Architecture Seminar, allowing participants to test facial recognition and explore anonymity
in real-time.
Highlights ethical concerns surrounding surveillance, privacy, and countermeasures
against unauthorized tracking.
Data Science for Social Good, Cooper Union Elective
The following are group projects I worked on:
Analyzed Robinhood’s job placement programs by processing and visualizing data
from community
partner programs, performing correlation analysis, machine learning modeling (XGBoost, Random
Forest, SVM, Lasso), and demographic insights to identify key factors influencing job placement,
retention, and program effectiveness, helping optimize resource allocation and funding
decisions.
Developed data-driven and interactive projects for City Harvest to analyze and
visualize food insecurity trends in NYC, including a meal distribution website, a machine
learning model
predicting meal and supply gaps, and a tactile art installation raising awareness on food
insecurity, using data from City Harvest, FeedNYC, and Open Source NYC datasets.
Analyzed data from Grameen America, a nonprofit microfinance organization
founded by Muhammad
Yunus, to examine retention trends among members and identify key factors influencing long-term
participation.
The SAYFT System (Security at Your FingerTips) is an improved, flexible, and discreet security
system that provides an additional layer of protection against concealed weapons in the form of
metal detection.
The system comprises a metal detecting panel that can be hidden in different embodiments, such
as a door or rug. Each embodiment communicates wirelessly with a smartphone application and
features such as a camera, an automatic door lock, and a speaker, in order to provide the user
with more information about the potential danger of a situation.