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Pranav Sharma

I build practical machine learning systems for decision support under uncertainty—forecasting, pricing analytics, and risk-aware decisioning.

All projects shown here are independent portfolio work built on public or synthetic data. No confidential employer data, code, methods, or client information is included.

Labs (Live Demos + Repos)

Forecasting Sandbox (Lite)

Benchmarking and model-selection workflows for time-series forecasting with transparent evaluation and reproducible comparisons.
→ Open Forecasting Sandbox

Pricing Decision Lite

Scenario-based pricing analytics under demand uncertainty with explicit, rule-based decision support.
→ Open Pricing Decision Lite

Decision Kernel Lite

Structured decision analysis using Expected Loss, Minimax Regret, and CVaR (tail-risk view).
→ Open Decision Kernel Lite

About

Compliance Note: This site contains personal portfolio content only. Views are my own and do not represent any employer. No proprietary or confidential information is included. All code and data used in projects are either public or synthetic, with no employer-specific information. This is independent work for demonstration purposes only.