
Data Analyst applying SQL, Python, and Excel to write 10–20 SQL queries and clean 25,000–49,999 rows, run EDA, and build reporting outputs for operations and customer analysis. Delivers analysis through 9–15 charts, pivot-based summaries, and charts that clarify trends in supply chain and churn behavior. Translates findings into concise recommendations that support business decisions.
SQL
Python
Pandas
Data Cleaning
KPI Reporting
Power BI
Excel dashboard design
DAX
Data visualization
Reporting automation
Power Query
Tableau
Data storytelling