Naomi Baron

My Projects

USC Marshall AI Global Case Competition

3 Day Case Competition | Semi Finalists

Conducted user research, developed personas, drafted Product Requirement Document, and designed AI-Assisted workflow automation for text-based recommendation system.
Built AI foundation in Colab using NLP for text similarity analysis

Designed app wireframe and UI prototype in Figma

Python

Excel

Public Speaking

Collaboration

Figma

PowerPoint

Presentation Deck

Working Prototype Demo

Predicting Small Business Loan Defaults with Logistic Regression (R)

Analyzed a dataset of 900,000+ observations to identify factors influencing small business loan defaults, aiming to enhance risk assessment and lending decisions.
Conducted data cleaning and wrangling by removing outliers, correcting errors, and transforming variables for improved model performance.
Developed multiple logistic regression models with varying probability thresholds and predictor variables to predict loan defaults.
Assessed model effectiveness and identified key variables driving default risk.

Statistical Analysis

Data Wrangling

Data Cleaning

R

Regression

Translating technical findings into business contexts

Technical Report (Executive)

Mustang Consulting Final Deliverables

Due to signed NDA’s, client names and competitor names have been removed.

Led team of 8 consultants through 10-week client engagements to solve complex business problems
Created midpoint and final deliverable decks and presented insights to C-suite clients, ensuring clear and confident communication of data-driven recommendations

Research

Data Analysis

Tableau

User Testing

Leadership

Excel

Consulting

Public Speaking

Teamwork

Web Scraping

Survey Creation

PowerPoint