Project Overview
Built SQL-based extraction and analysis pipelines, then translated findings into visual, decision-ready business summaries.
Business Performance & Trend Analysis
Data cleaning and exploratory analysis to surface seasonality, outliers, and growth opportunities.
Key Metrics
12-month trend coverage
15+ patterns identified
Executive-ready reports
Workflow
- Extracted and validated data with SQL and quality checks.
- Performed EDA on seasonality, trend shifts, and anomalies.
- Developed visual summaries for planning and review meetings.
Outcomes
- Improved planning with clearer trend visibility.
- Flagged outliers affecting business interpretation.
- Delivered concise recommendations for stakeholders.
Tech Stack
Python
SQL
Pandas
Excel
Plotly