|
(click to open PDF)
|
- Analyze high-volume workflows to identify and resolve operational bottlenecks
- Build validation checks to identify and correct data errors before downstream impact
- Design reporting frameworks that support audit readiness and operational consistency
- Create repeatable systems to standardize SOPs and reduce manual rework
| Project | Problem | My Approach | Result |
|---|---|---|---|
| Data Validation Tool | Manual data errors | Python-based automated validation rules | Cleaner data and reduced manual review |
| Compliance Audit Dashboard | Inconsistent reporting | SQL-based validation and reporting logic | Reliable, audit-ready reporting |
| Eligibility Case Review Tracker | Process inconsistencies | Structured data flagging and review workflows | Faster and more consistent case handling |
| SOP Generator | Documentation gaps | Automated Markdown-based SOP generation | Standardized and accessible documentation |
- Excel (structured reporting and validation support)
- SQL and Python (AI-assisted data validation and workflow support)
- Office 365 and SharePoint-based operational systems
- AWS Cloud Foundations coursework (2025)
- Google Prompting Essentials (2025)
- Experience across legacy and modern enterprise systems with strong data integrity and troubleshooting focus
Targeting remote roles in operations, QA, compliance, and data integrity.