Statistical Analysis and Modeling

Exploring Consumer Preferences for Instant Noodles

During my time as a Masters student, I conducted a comprehensive conjoint analysis utilizing Python programming to explore and understand consumer preferences, specifically focusing on MTR and Mayura instant noodles. This insightful analysis unveiled crucial factors influencing consumer decision-making processes within the instant noodles market. These revelations are crucial in crafting targeted and impactful marketing campaigns tailored to the needs and desires of the consumers for both brands, enabling a deeper understanding of market dynamics and facilitating strategic decision-making processes.