Designed qualitative primary research and completed 20+ in-depth interviews to analyze how culture, emotions, and social norms influence food choices, using open-ended questioning to minimize bias and uncover deeper behavioral insights.
Synthesized primary and secondary research to identify key drivers of consumer tastes such as health & wellness, cultural background, and sense of nostalgia, with these becoming the most influential variables.
Translated insights into marketing recommendations, including positioning healthier alternatives to cultural foods while addressing social pressures in food-related decision-making, showing real-world applications.
Developed a comprehensive market entry strategy for AI smart glasses, including product positioning, target segmentation, and competitive analysis within a new oligopoly market, including Meta and Samsung.
Evaluated AI-generated marketing recommendations and refined its 4Ps strategy by proposing improvements such as tiered product models and optimized pricing using a skimming strategy aligned with early adopter consumers.
Conducted market fit analysis, identifying barriers to entry like price sensitivity and consumer concerns, recommending distribution and promotional channels to maximize product adoption.
Built and evaluated a decision tree model using training, validation, and test datasets to predict customer response behavior, applying model tuning techniques to reduce overfitting and improve the model to generalize to new data.
Diagnosed model overfitting by analyzing misclassification rate and identifying inconsistencies in variable importance between datasets, demonstrating a strong understanding of model performance evaluation.
Predicted Credit Rating as the most significant variable, and recommended targeting audiences most likely to convert, translating data insights into actionable business decisions.
Nike and Adidas Website Analysis
Evaluated anchor texts and keywords for Nike’s and Adidas’s websites’ SEO, identifying weak product and landing pages.
Utilized ChatGPT to rank Nike and Adidas’s title tags, meta descriptions, and keyword effectiveness.
Analyzed 50+ keywords across group members and ranked keywords across performance, category relevance, and volume.
