👋 Welcome!
Thanks for stopping by. This portfolio highlights just some of the data science, analytics, and research work I have contributed to across different industries and teams. Each initiative has as a goal to solve a real business problem: improving customer experiences, unlocking revenue, or guiding smarter decisions with data.
While these examples reflect my passion for combining rigorous analysis with practical impact, they do not include detailed data or code due to confidentiality agreements. Instead, you'll find high-level summaries that speak to the business problems addressed, methodologies applied, and outcomes achieved. For technical deep dives (including hands-on modeling, code samples, and interactive visuals) please visit the The Build Room section.
Feel free to explore, and reach out if you’d like to learn more!
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
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.
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.