
Data Analyst
Eatura · Nov 2022 – Dec 2024
- Cleaned and validated order and customer datasets using Python (pandas) and SQL, removing duplicates, correcting inaccurate entries, and handling missing values for reporting.
- Built reusable SQL queries and Python scripts to automatically flag duplicates, nulls, and invalid values in data-quality checks.
- Investigated order-numbering and timestamp inconsistencies using SQL; analyzed acceptance, preparation, pickup, and delivery timestamps for sequencing errors and shared findings to support fixes.
- Reconciled platform and restaurant menu data using Python and Excel, matching items by name and ID to identify differences in items, prices, and descriptions.
- Checked ingredient and allergen fields for missing or incomplete information and summarized discrepancies by restaurant for correction.
- Developed Power BI and Tableau dashboards and reports to track operational KPIs and campaign performance and support business decisions.


