These selected projects highlight my ability to apply marketing analytics to real-world challenges involving brand perception, consumer behavior, and digital engagement. From evaluating car brand preferences through statistical analysis, to dissecting lifestyle branding at Chipotle, to leveraging AI for sales behavior classification, my work bridges data science and strategy to deliver measurable marketing impact.
Whether developing predictive insights, evaluating campaign performance, or distilling consumer trends from complex datasets, I focus on transforming data into clear, actionable strategies that drive results.
Consumer Behavior Analysis – Leveraging survey data and statistical testing (ANOVA, regression, chi-square) to uncover what influences purchase decisions and brand preference.
AI-Enhanced Insight Generation – Using machine learning and text classification tools to tag sales behaviors, identify conversational signals, and evaluate model performance in real time.
Brand Strategy Insights – Exploring how emotional branding, social validation, and digital experiences shape loyalty and perception.
Marketing Channel Evaluation – Assessing digital touchpoints such as social media, influencer campaigns, and mobile apps to measure engagement.