Julie Gi Kim

Advised the owner on business workflow optimization and built a tailored end-to-end construction business application in English and Spanish, covering intake through project close-out, plus a bilingual company website with lead intake. Automated LLM-based estimate parsing and cleanup into customer-ready documents, project scope and payment scheduling, contract generation, and per-project business

Led analytics products informing enterprise decisions across regulatory compliance, IT asset management, and cloud financial operations, owning the work from requirements through delivery and stakeholder briefing. Architected and maintained production Python and PySpark data pipelines on GCP feeding enterprise cloud data warehouses.

Deployed computer-vision ML models (CNN/DNN) to GCP for scalable species-prediction inference and built Python/Django dashboards to visualize model results for the ML team.

Architected and rebuilt scalable public-health data engineering pipelines and analytics platform infrastructure for the Bill & Melinda Gates Foundation, enhancing enterprise reporting and data accessibility. Delivered secure, compliant data solutions for PG&E and translated business objectives into technical requirements for Kaiser Permanente.

Led the NCAL OR Data Governance Committee, defining data standards and unifying metrics across Performance Improvement. Built 10+ operational and financial dashboards for surgical services leadership and implemented data-quality controls.

Led the T-Mobile AI chatbot performance and transition analytics project, delivering dashboards that drove data-driven optimization of customer experience and agent efficiency.

Defined and implemented an enterprise-wide data-asset-management strategy, improving data governance, discoverability, and reuse across business units. Delivered cloud analytics solutions for a top-tier banking client, supporting data-driven decisions and process optimization.

Built BI and analytics solutions automating reconciliation and compliance testing for U.S. Department of Defense audit-readiness.

Led enterprise data migration and analytics for federal clients (DoD, HHS, DHS), including SQL Server migration, and built NLP classification models for NIH.

Built data pipelines and visualizations for Medicaid beneficiary analytics across state consulting engagements (MT, VT, RI).

Performed reporting and financial analytics for clinical quality, patient safety, and oncology administration using SAP Business Objects.

Master of Science in Applied Economics from the Krieger School of Arts & Sciences.

Bachelor of Science in Financial Economics from the University of Maryland, Baltimore County.