A comprehensive starter kit for A/B testing and causal inference with simulations, statistical tests, and visualizations. Perfect for data scientists, students, and professionals learning experimental design.
Official research portfolio of Nabal Kishore Pande covering Decision Systems, Research Frameworks, Execution Intelligence, Scholarship Preparation Intelligence, Open Research, Knowledge Architecture, Evidence-Based Publishing, Books, Frameworks, and Research Infrastructure.
Research analysis of NBA load management strategies, stakeholder incentives, and competitive tradeoffs.
Bayesian Analysis to forecast demand for small, high-cost inventory data under covariate scarcity
Multivariate cost-performance optimization of paper plane dynamics. Factorial ANOVA study in R to balance material costs with flight duration
A hybrid decision intelligence tool that combines rigorous statistical planning (A/B & Causal Inference) with AI-powered execution. Prevents bad tests and automates the math.
Mixed-variable optimisation as a metric product space — supplementary code for a manuscript on transient categorical geometry and a hierarchy of local optimality.
Why hiring committees, VC partners, and grant panels keep getting it wrong — and how to engineer around it. A math + simulation + LLM trilogy on multi-stage selection.
Collection of case studies and theoretical frameworks in business analytics and strategy. Projects span CLV modeling, price optimization, diffusion models, and STP analysis, applying structured reasoning to real-world business problems.
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