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PROFESSIONAL PROFILE

Business analytics professional with graduate-level training in machine learning, statistical modeling, SQL, Python, business intelligence, and data visualization. Experienced translating complex datasets into recommendations across pricing, marketing performance, consumer insights, revenue strategy, and operations.

Professional Experience

Paid Social Content Producer

Narrative Ads | Mar 2023 - Aug 2024

People Operations Coordinator

Meaningful Works | Jun 2022 - Mar 2023

Education

University of Southern California - Marshall School of Business

M.S. Business Analytics (STEM) | May 2026

Dean's List - all completed semesters.

University of Southern California - Marshall School of Business

B.S. Business Administration | May 2022

Marketing emphasis; Psychology minor; Magna Cum Laude.

Selected Analytics Projects

Predictive Pricing Optimization

Python, XGBoost, LightGBM, GLM, SHAP
  • Compared seven ML models; best classifier achieved ROC-AUC 0.7921.
  • Used SHAP to identify high-risk tenure segments and recommend risk-adjusted pricing.

Content Performance Analysis

Python, Regression, Clustering
  • Analyzed a 952-song dataset; regression R² = 0.464.
  • Identified playlist placement and seasonality as leading stream drivers (p < 0.001).

Regional Sales Revenue Insights

SQL, Tableau, Business Intelligence
  • Analyzed $23.1M in sales and 216% growth across five regions.
  • Identified a $277K territory gap and supported rep reallocation.

SmartStack AI

AI Operations and Business Strategy
  • Designed an AI-enabled warehouse optimization concept combining computer vision, process analysis, gamification, supplier reporting, and business-case development.

Sustainability Consumer Research

Qualtrics, Regression, Segmentation
  • Evaluated sustainability messaging and found quality and fit to be stronger purchase drivers; fair labor ranked highest among sustainability initiatives.