An AI-powered Digital Twin MVP for optimizing data center placement in Thailand, factoring in climate, sea temperature profiles, energy, land costs, and cooling efficiency.
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Updated
Jun 2, 2026 - Jupyter Notebook
An AI-powered Digital Twin MVP for optimizing data center placement in Thailand, factoring in climate, sea temperature profiles, energy, land costs, and cooling efficiency.
Enterprise Bayesian Marketing Mix Modeling (MMM) engine built with PyMC. Implements geometric adstock carryover, Hill saturation curves, 94% HDI ROAS credible intervals, and a SciPy SLSQP non-linear budget reallocation optimizer under risk constraints.
A quantitative fixed-income trading pipeline and historical backtester that uses Nelson-Siegel-Svensson (NSS) non-linear optimization to exploit arbitrage opportunities using the Pakistani Revaluation data for fixed-income bonds (PKRV).
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