Overview
Processed 32M+ transactions and built interactive Tableau dashboards for retail analytics.
Role
Data Analyst
Project Details
Engineered a data reduction and sampling pipeline in Python (Pandas) to compress 32.4M grocery transaction records into a representatively scaled 12.9M row dataset while preserving basket composition integerity.
Developed derived metrics and applied Pareto (80/20) analysis to identify high-velocity SKUs and consumer purchasing patterns across 49K+ products.
Designed an interactive Tableau dashboard visualizing category demand, customer loyalty, and long-tail product distribution.
Interactive Dashboards
