🔍 Case Studies
Selected work examples of my work in data science, AI, and research across a variety of industries and teams. Each project was designed to solve a real business challenge, whether by improving customer experiences, unlocking new revenue streams, or enabling smarter decision-making with data.
While I can’t share proprietary data or code due to confidentiality agreements, each summary outlines the core problem, the approach taken, and the impact achieved. These examples highlight how I blend rigorous analysis with practical, results-driven execution.
Feel free to explore, and reach out if you’d like to connect or dive deeper.
Measuring Causality and Creative-Level contribution without relying on identity
Leveraging Bayesian Structural Time Series in a Counterfactual framework and XGBoost with SHAP to measure campaign impact in bottom line performance and creative-level attribution. All without relying on identity methods.
Audiences, Moments, and Flavors: Identifying Low-Hanging Opportunities for Pringles US
Leveraging a myriad of data sources to address a core business problem from multiple perspectives.
The three dimensions of media measurement planning: Type A, B, and C
Three easy ways of categorizing the complexity of measurement planning you are about to undertake.
Data-Driven Business Partnership Inspiration: “Mobility” versus “Busy”
Mobility Visualization Tool to Identify Non-Obvious Business partnerships during Summer and EOY seasons.
Global Passion Points
Mass-survey development and propensity scoring to identify audience passion points used to inform a global brand re-launch
DISCLAIMER: I’ve anonymized or simulated any sensitive data to respect confidentiality, but the thinking, methods, and outcomes remain true to the work.
Confidentiality & Proprietary Information: This work reflects personal contributions to past projects in a professional setting. All data shown has been anonymized, simulated, or modified to protect company confidentiality. Any sensitive business insights, internal metrics, or strategic frameworks have been altered or removed.
Intellectual Property & Distribution: All visualizations, code, and commentary are intended solely for personal portfolio demonstration purposes. Reproduction, redistribution, or use of this material for commercial or academic gain without explicit written permission is strictly prohibited.
No Endorsement: The companies or clients referenced herein do not endorse this portfolio, nor are they responsible for its content.
Non-Disclosure Compliance: This portfolio complies with relevant NDAs and employment agreements. Any similarity to proprietary materials is unintentional and coincidental.