Matthew AFOLABI
Data & Operations Analyst | SQL, Power BI, Python
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Retail Analysis in Python (pandas)
SQL analysis of a multi-table retail database answering five business questions — revenue, profit, margin, top customers, and sales trends using JOINs and aggregation.
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SQL Business Analysis — Retail
SQL analysis of a multi-table retail database answering five business questions — revenue, profit, margin, top customers, and sales trends using JOINs and aggregation.
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Retail Sales Analytics Dashboard (Power BI)
Interactive Power BI dashboard analysing two years of retail sales — revenue, profit, margins, top customers, and monthly trends. Built with data modelling and DAX measures.
Link: github.com/AYOOLUWA1996/retail-sales-analysis
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