Rahul Singh

Demand Forecasting & Inventory Optimization — Cut Simulated Stockouts from 20% to 11% The Problem

A recurring pain point for retail and e-commerce businesses: how much stock to hold per product, and when to reorder — without either running out (lost sales) or over-ordering...

A/B Testing & Causal Inference — 64,000-Customer Email Campaign Analysis (Hillstrom Dataset) A full randomized-experiment analysis, built to show the difference between running a statistical test and running one correctly — including catching and fixing my own methodology bug...

Marketing Campaign ROI Dashboard — Budget Reallocation from Real Facebook Ad Data Built a full-cycle marketing analytics project: took a real anonymized company's Facebook ad campaign data (1,143 ads, ~$58.7K spend) and turned it into a budget reallocation recommendation backed by statistical testing, not just intuition.