Deterministic and Stochastic Dynamic Programs for optimization of Supply Chain
Creating Supply & Demand during tough times of lockdown caused by COVID-19
A spare engine placement generator based on a Finite-Horizon Markov Decision Process
Sales forecasting dashboard using Power BI, LSTM models, and SHAP for explainable insights
Monthly demand forecasting using SARIMA + Bayesian Optimisation (Optuna TPE). Walk-forward validated against seasonal naïve, ETS, and AutoARIMA baselines.
Demand shaping through pricing and promotion optimization
GenAI demand planner v2 with multimodal data fusion
Stochastic model to predict event probability and forecast store demand using Python
Product demand cannibalization model for new product launch impact
End-to-end supply chain analysis using SQL and Excel — uncovering delivery performance, fulfilment efficiency, product profitability and order priority insights across 2,500 orders.
AI demand orchestrator for unified demand planning across channels
The complete guide to demand forecasting - from moving averages to transformers
PPE and essential goods demand spike forecasting using change-point detection
Warehouse wave planning order release
Supply chain scenario planning tool with what-if analysis capabilities
The goal of this project was to explore demand forecasting using R, analyze trends, seasonality, and create ARIMA models to predict future demand. This README provides an overview of the project and its structure.
Zero-dependency demand forecasting for seasonal businesses. Pure statistics, no ML, no cloud costs.
Demand regime change detection
Aggregate production planning linear programming
Demand orchestration platform unifying S&OP with execution
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