Behavior-based consumer segmentation and predictive modeling using R for AXANTEUS client analysis.
Taiwan spirits market analysis: cleaning, profiling, K-means, temporal/brand patterns, industry scorecard.
K-means clustering and chi-square hypothesis testing on 3,000 consumer survey respondents, identifying motivation-based segments for a food product client. Individual contribution to a graduate consulting capstone.
Consumer segmentation analysis of Spotify usage (n=330) — hierarchical & k-means clustering, hypothesis testing, and cluster profiling to identify distinct user segments.
Data science project analyzing GLP-1 drug markets and Food-as-Medicine trends using ARIMA forecasting, clustering, ML prediction models, NLP sentiment analysis, and Streamlit dashboards.
Behavior-based consumer segmentation and predictive modeling using R for AXANTEUS client analysis.
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