Mike Maeda
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Nov - Dec 2025

Sales Data Analysis Pipeline

PythonSQLStatisticsData Analysis
Problem

Could real retail sales data justify a premium-pricing strategy? I set out to test the relationship between unit price and transaction value with statistical rigor.

What I built

Cleaned and transformed a 17,000+ row retail dataset, then ran regression modeling and exploratory feature analysis across multiple variables to build a reproducible statistical workflow.

Impact
  • Built a reproducible analysis flow from raw transaction data to business insight.
  • Used regression modeling and exploratory analysis to test pricing assumptions.