A platform-neutral analytical Skill that profiles messy data, selects case-adaptive methods, and produces source-backed visual reports for high-stakes decisions.
Open-source quantitative decision lab: test market assumptions, preserve negative results, and reproduce evidence.
FAIR cyber risk quantification toolkits by Laura Voicu: agent-based control simulation (FAIR-CAM), threat event frequency estimator (PyPI), LLM classification validator (PyPI), Monte Carlo risk engine with IRIS benchmarks.
Pre-built decision models serving as the base for Marketplace subscription apps.
A versioned decision operating system for uncertainty, evidence updates, and calibration.
Python SDKs for Nextmv
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.
A curated list of awesome Operations Research frameworks, solvers, libraries, software, books, courses, papers, datasets, conferences, and learning resources.
End-to-end café inventory project: clean transaction data, build daily item-level demand series, backtest strong baseline forecasters, generate next-30-day demand forecasts, convert forecasts into safety stock + reorder points, and validate policies with Monte Carlo stockout-risk simulations, wrapped in a Streamlit dashboard.
Reusable decision-science utilities for security by Laura Voicu: Monte Carlo, Bayes, Survival, VoI, light causal helpers.
A comprehensive ride-pooling simulation engine featuring VRP optimization (OR-Tools), dynamic pricing algorithms and ML-based demand prediction.
Reproduction code for "Taking Advice from ChatGPT"
When Not to Reconfigure: Sequential Expert Routing for Dynamic Warehouse Slotting under Non-Stationary Demand
Decision research for fashion retail demand forecasting, lifecycle state and markdown optimization.
Discovering commercial corridors from POI, road-network, and business-channel signals across multiple cities.
Board-Level Decision Intelligence Operating System. A future-state enterprise operating model for governing forecast confidence, commercial risk, recovery investment, capital allocation, and executive decision-making under uncertainty.
Elite decision intelligence platform — make better decisions with science, not gut feelings
A simple command line application that continuously exports data from Zendesk
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