• Cleaned and organized a database of sales and clients. Cleaning clientele data resulted in formatted addresses and contact info for marketing, as well as preprocessing for analysis and prediction. • Generated a geographical heat map of sales to determine good and poor performing areas in the market. Lead to 7+ marketing opportunities. • Gathered insights on sales trends via data visualization. Generated 7 insights on purchase patterns with 4 visuals. • Created an ML Model to predict the next purchase category using XGBoost and deployed it with Streamlit.