Headset - Data Engineer Intern
Improving Data Quality and Analytics for Cannabis Retail
At Headset, I improved data quality and analytics for the cannabis retail industry. I optimized Python scripts to detect duplicates in product tagging, established a company-wide SQL style guide, and built dashboards that visualized product usage trends. My work allowed clients to make informed decisions based on accurate and actionable insights.
Key Contributions
- Optimized Python scripts with regex to detect and document probable duplicates in product tagging.
- Created and enforced an internal SQL style guide with linting processes for consistent code readability.
- Developed SQL queries and client dashboards to track product usage and trends over time.
Technologies & Tools
PythonSQLRegexData VisualizationDashboards