Insights & Analytics Leader | Python, SQL, AI Automation | Healthcare Finance Analytics

Led financial controls and quarterly business reviews for the company’s largest client. Built Python-powered reconciliation workflows, compressed reconciliation cycles from hours to under 5 minutes, led responsible AI adoption, partnered with Data Engineering on QA, and built Tableau dashboards and self-serve reports.

Built Python automations for recurring Excel reporting, integrated AI and LLM tooling into client workflows, automated PowerPoint deck production, helped clients deploy data-intensive web applications, and managed engagements from discovery through delivery and support.

Delivered ad hoc analytical support, developed annual claims-cost and utilization reports, automated healthcare claims and membership reporting with Python and Tableau, built a Python/SQL compliance document system, trained analysts, and supported Teradata-to-Snowflake migration.

Projected healthcare costs, set budget rates, built self-serve reporting layers in Tableau and Excel, presented insights to HR and C-suite leaders, automated repetitive tasks, and migrated workflows from Excel to Python.

Monitored financials with dynamic dashboards, produced underwriting and budget projections, delivered strategic recommendations to prospects, and advised HR and C-suite leaders on healthcare strategy impacts.

Compiled claims and stop-loss data for benchmark datasets, built Excel models to forecast cost risk, and led the RFP and carrier-negotiation process.

Compiled client claims and enrollment data, built claims projections and budget forecasts, negotiated with carriers, and partnered with actuarial and consulting teams on plan enhancements.

Underwrote and priced medical, dental, and vision plans, managed risk exposure and margin performance, responded to RFPs and RFIs, and co-developed a predictive pricing tool adopted nationally.