Lead engineer for Treasury’s shared virtual analytics environment (250+ users). Deliver secure, data-driven .NET solutions, Python/R runtime governance, dimensional modeling, and automation across Azure/Power BI.

• Own configuration, governance, testing, and packaging for Python/R across Azure VMs; automate secure package deployments and present change requests to Cybersecurity.
• Built an AD password-expiry notification service + access dashboard (LDAP + T-SQL + Database Mail) showing security groups (incl. nested), DB permissions, and SSRS roles—used for audits and self-service troubleshooting.
• Designed daily ETL + dimensional models (SSIS/SQL) for IRS ITM Learning powering 100+ reports/dashboards; documented in Markdown and transitioned to Azure DevOps for O&M.
• Wrote a C#/.NET data-quality comparator that web-scrapes IRS report metadata, reconciles Treasury’s HR warehouse, persists diffs to SQL, and visualizes KPIs via Power BI.

Drove HR analytics modernization and enterprise reporting—architected data models, automated ETL, and delivered high-impact dashboards consumed by executives and analysts.

• Led the transition of IRS training analytics to Treasury’s warehouse; authored deltas/ETL requirements and consolidated 20+ PL/SQL scripts into a daily SQL model powering 50+ Power BI dashboards over 20M rows.
• Developed .NET + SQL programs to reconcile HR payroll data across three enterprise systems; bi-weekly diffs drove architecture fixes and improved data integrity across platforms.
• Published and maintained six HR dashboards with 50k+ cumulative views by 500+ stakeholders—self-service analytics reduced ad-hoc requests and cycle time.
• Built automated COVID-19 data pipelines (JHU GitHub + CDC APIs) to ingest, transform, and publish datasets via SQL jobs/shared drives.

Built decision-support tools, automated analytics, and workforce visualization used by leadership each pay period.

• Replaced ~$3M legacy tool with a custom org-charting app (Visio/SharePoint/Excel/VBA) encoding IRS HR hierarchy rules; trained teams and drove adoption.
• Automated the ‘Workforce Snapshot’ Tableau product—ten charts previously compiled quarterly now refresh every pay period.
• Delivered R-based analyses and automation for outliers/forecasts; scripted performance-plan timeliness reporting from SharePoint flat files.
• Built a UI-Automation + HTML Object Library scraper to ingest 457 paginated HR records automatically into curated datasets.

Subject-matter expert and knowledge-management leader for the Exempt Organizations program; training, policy, and process improvement.

• Led knowledge network analysis and training for EO; delivered technical training to 250+ agents, cutting related field questions by >50%.
• Automated KM metrics/reporting (monthly/quarterly/annual) enabling program effectiveness tracking.
• Authored official guidance adopted by the Service (guide sheets + three issue snapshots) and released publicly.
• Acted as front-line manager and SME across multiple 501(c) domains; briefed senior leaders and coordinated complex resolutions.

MBA with a 4.0 GPA; emphasis in finance, strategy, and analytics.

BS in Accounting with strong foundations in financial reporting, auditing, taxation, and information systems.