- Pulled data from the Redshift database for an in-depth look at Instacart’s evening sales patterns.
- Optimized SQL queries for pinpointing products with >=5000 orders post-6PM,optimizing evening promotions. Employed SQLAlchemy, Pandas, and visual analytics (Matplotlib, Plotly) to devise a targeted product catalog, enhancing sales during low-traffic hours.
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Optimized SQL queries for pinpointing products with >=5000 orders post-6PM,optimizing evening promotions. Employed SQLAlchemy, Pandas, and visual analytics (Matplotlib, Plotly) to devise a targeted product catalog, enhancing sales during low-traffic hours.
aanchal898/Whats-trending-ft-Instacart
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Optimized SQL queries for pinpointing products with >=5000 orders post-6PM,optimizing evening promotions. Employed SQLAlchemy, Pandas, and visual analytics (Matplotlib, Plotly) to devise a targeted product catalog, enhancing sales during low-traffic hours.
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