On my self-directed Logistics Operations Data Quality Audit & Analysis project, I audited a 14-table logistics dataset in Excel Power Query and Power Pivot, resolving data quality issues and a data modeling error. I also corrected source documentation that misstated row counts by more than 50%.
I used Power Query M and DAX to identify invalid records and diagnose a silent sixfold error in a Cost-Per-Mile measure. I reported findings on delivery reliability, cost-per-mile drivers, and route profitability, including results that did not show meaningful correlations, and verified outputs against raw files using Python and pandas.
At Raw Materials Research and Development Council (RMRDC), I reviewed correspondence, reports, and departmental documents for accuracy and completeness, and maintained electronic and paper filing systems. My background also includes economics research and conference presentations; I’m currently developing additional Power BI and SQL portfolio projects.
