uplift-testing

🎯 This repo contains the work completed during the Quantium Data Analytics Job Simulation on Forage. The focus was to analyze customer transaction data, provide insights, and recommend data-driven strategies. Key areas include data preparation, customer segmentation, uplift testing, and reporting for decision-making.✨

📊 Quantium x Forage | Customer Segmentation • Pearson Correlation Matching • Uplift Testing on 3 Trial Stores | 245K transactions • 71K customers • $1.8M revenue | Python | SciPy | Pandas ✅

Experimentation and Uplift Testing using Python | Quantium Data Analytics Virtual Internship | Trial vs Control Store Analysis | Statistical Testing | Data Visualization | Business Insights

Completed Quantium's Data Analytics Virtual Experience Program on Forage, focusing on customer analytics, commercial insights, uplift testing, and data-driven business recommendations.

Retail customer analytics and uplift testing using Python — Quantium Data Analytics Job Simulation (Forage)