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In business analysis, the Apriori algorithm can be used to analyze transactional data and identify items frequently purchased together, such as pairs of items or sets of items. This information can inform marketing strategies, such as cross-selling or bundling products.
The goal of this EDA is to set a pricing strategy for an ecommerce company that not only brings in the most money but also draws in a good number of customers to purchase your products.
This project simulates driver allocation and surge pricing using Reinforcement Learning (Q-learning). The simulation models driver behavior, demand fluctuations, and pricing dynamics across multiple routes.
End-to-End SQL Data Engineering and 3-Page Power BI Executive Dashboard analyzing Retail Sales Performance, Supply Chain Concentration Risks and Product Price Elasticity
An interactive dashboard for analyzing retail campaign performance and identifying profit optimization opportunities through pricing strategy, discount guardrails, and product-level insights.
Production optimization for Rougir Cosmetics using Excel Solver and scenario modeling. Focused on cost minimization under labor and material constraints while protecting proprietary product lines.
ComputeFlow is a two-sided GPU finance platform that maximizes data center yield via dynamic pricing to unlock supply, while providing underserved AI MSMEs with ▎ embedded, usage-based credit lines to access reserved compute