The problem
Packages sent to the wrong postal destination could create service failures and financial assessments. The business needed a repeatable way to identify where those failures were occurring, which customers and locations were involved, and the underlying causes.
My role
I designed and developed the analytical solution across data integration, SQL logic, historical structures, reporting, validation, and stakeholder communication. I worked with Quality, Operations, Master Data, Postal teams, Customer Service, and subject-matter experts to make sure the analytical logic matched actual network behavior.
Technical approach
- Integrated source data into SQL Server and designed reusable analytical structures.
- Developed SQL logic, views, stored procedures, and summary datasets for recurring analysis.
- Automated processing through ETL and scheduled jobs.
- Created reporting that allowed users to analyze issues by date, customer, distribution center, postal location, sort location, and reason.
- Validated causal classifications with operational and quality stakeholders before relying on them for corrective action.
Why the project mattered
The value was not simply another report. The solution created a common analytical view of a difficult operational problem and gave teams a way to repeatedly identify the drivers behind failures so they could target corrective actions.
Public technical recreation
A recreated dataset will demonstrate the SQL model, KPI logic, and Power BI analysis without exposing employer information.