Exploring market maker models for e-commerce dynamic pricing
Neural network using cross entropy loss for price calculations on cinema dynamic pricing system.
This project implements a real-time dynamic pricing model for urban parking lots using advanced data analytics. It leverages live and historical data to automatically adjust parking fees based on multiple parameters such as demand, occupancy levels, time of day, location, and nearby events.
Built a discrete-event simulation of BoxCar, a fictional ride-sharing platform, to evaluate rider service quality and driver earnings, and to test whether the company's original operating assumptions matched its real operational data. Collaborative project with Jackson Cramer and Michael Tiller for Simulation (MATH11028) at UoE. Awarded 76%.
A Dynamic Pricing framework integrating Monte Carlo simulations for demand uncertainty analysis and Response Surface Methodology (RSM) to optimize pricing strategies and maximize revenue.
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