Retail basket analysis and customer segmentation
– Conducted deep-dive analysis on 500k+ retail transactions using Apriori and FP-Growth to discover
cross-sell opportunities, identifying high-lift product associations and seasonal purchase patterns.
– Performed RFM customer segmentation, improving potential cross-sell rate by 18%, and built interactive
dashboards.
– Tech Stack: Python (pandas, NumPy, mlxtend, scikit-learn), SQL, Tableau, plotly.