Data Science Projects
Recent Projects
Racial Disparities in Chronic Illnesses?
This statistics based paper uses the CDC Chronic Indicators data to break down which factors have the most significant racial disparities and explores possible implications. Paper
Analyzing Maternal Mortality Legislation
Earned $2000 in scholarships from UCSD to create and execute a research project overseen by a faculty mentor during the 2021-2022 academic year. Used Python, Qualtrics, NVivo, and Markdown. Project Website
War Powers Effectiveness
Work as a Research Assistant since June 2021 for Patrick Hulme in Center for Peace and Security Studies. Project goal is to identify effectiveness of War Powers Act. Responsabilities include thematic analysis, assisting with visualization in R, and creating classifiers to analyze congressional speeches in Python. Final Website in Progress. cPASS Repository
Ad Analysis for EcoPackables
Through the UCSD American Advertising Federation chapter, I was a project manager for a collaboration with EcoPackables. I managed a team of 5 to perform data analysis on the client's current ad metrics, reccomend specific KPIs according to their goals/mission, and allocate a 60K budget to their marketing. Final Deliverable
Analytics for National Student Advertising Campaign 2021
I was a part of the media/analytics team on the UCSD competitive marketing team where we curated a comphrensive solution to reform Tinder's reputation. My responsabilities were to calculate KPIs, calculate projections, and allocate our resourcs amongst the team's different functions. This year we broke UCSD's record through our placement in the competition and I was elected to Chief Strategy Officer. Final Deliverable
GPT-3 Based Technical Assessment Tool
Worked with a team of 3 to build a technical preparation tool for students that was composed of a python preparation tool, SQL preparation tool, and chatbot to simulate a behavorial interview. Code + Demo
Where and when do major outages occur?
Through exploratory data analysis, missingness analysis, hypothesis testing, and visualization, this project delves into where and when major power outages tend to occur. Used KNN, Random Forest, and Decision Trees to create a model to preduct a cause of a power outage. Code + Data
Consumer Attitude Data Analysis During Covid in San Diego
I was on a team of undergraduates that worked with a thrift shop in San Diego to understand how they could adjust various aspects of their operations to account for the pandemic. I lead our data analysis portion, gathered ~300 portions to a custom survey in qualtrics from target demographic that was used as the foundation of the team's findings. Final Deliverable