Retrieve data for various multi-factor asset pricing models.

This article reframes pricing as a negotiation rather than a prediction, showing how price emerges from tensions between product reality, market dynamics, and buyer behavior. It introduces negotiation-aware ML, value decomposition, and equilibrium modeling to build transparent, human-aligned pricing systems.

An explainable modeling system that analyzes cryptocurrency prices as equilibrium outcomes shaped by market forces. This simulator computes force decompositions, equilibrium bands, tension scores, and scenario-based what-if simulations to reveal how demand, supply, volatility, liquidity, and speculation negotiate price.

The expanding adoption of cloud computing services by businesses has transformed IT infrastructure and data management in the computing space. Cloud computing offers advantages such as availability, scalability, and costeffectiveness, making it a favored choice for businesses of all sizes

Quantitative analytic toolkit covering natural gas pricing, storage valuation, loan default risk modeling, and credit rating bucketization, with reusable helpers & visual workflows for pricing and risk teams exploring energy and consumer credit data.

Evaluated the cost-effectiveness of IaaS and PaaS by assessing setup costs, operational expenses, scalability, and deployment complexities. Deployed a recruiting system on AWS, Azure, Heroku, and GCP, and conducted performance tests with Locust. Findings guide businesses on choosing between IaaS and PaaS for optimal cloud deployment.