FP&A • Automation • AI Reporting

I help finance teams evolve from Excel-heavy workflows to intelligent, automated, AI-driven reporting.

With experience across FP&A, P&L management, and data analytics, I bridge finance, business, and technical teams — translating real financial challenges into scalable data solutions.

Monthly P&L
$20M+
Managed & analyzed (Lactalis U.S. Yogurt)
Close Cycle
5 days
Controls + automation support
Tooling
SAP · TM1 · Power BI
+ Azure, Python, SQL

What I deliver

  • Database-backed pipelines that replace fragile Excel chains.
  • Real-time dashboards for decision speed & tighter controls.
  • Agentic AI and Azure-based automations across FP&A workflows.
  • Executive-ready visuals that are simple, accurate, and fast.
FP&A
P&L / CAPEX
Forecasting
Power BI & DAX
Python · SQL
Azure
Agentic AI
01TariffLens
02Commute Analyzer
03Fragrance Analysis

Current phase:

Now @ Cornell — MS in Business Analytics, specializing in Supply Chain Analytics

Focused on agentic AI and Azure-based finance automations — helping companies move beyond spreadsheets to smarter, faster, data-driven decision-making.

Continuing education: Georgia Tech — Master of Science in Analytics (MSA)

Azure Data Factory
Databricks
Power BI / DAX
SQL Server
Python
SAP FICO
IBM TM1

Roles & Impact

The Rubber Group · Senior FP&A Analyst

ERP (E2), SQL, forecast & variance analytics, automated dashboards
  • Translate ERP and SQL reporting into governed analytics supporting finance and plant leadership.
  • Replace manual spreadsheet reporting with automated dashboards and reusable templates.

Politheon · Strategic & Business Advisor — FinOps / Analytics Tooling

Georgia Tech CreateX Startup · Azure/GPU, cost-visibility, unit-economics
  • Define FinOps strategy for AI infrastructure; built dashboards and models for pricing, ROI, and roadmap tradeoffs.
  • Contributed to #2 featured startup at Georgia Tech CreateX showcase.

Lactalis U.S. Yogurt · Senior Financial Analyst

P&L ($20M+ monthly), CAPEX, 5-day close, SAP FICO · IBM TM1 · Power BI
  • Built database-driven pipelines to replace manual Excel processes with real-time dashboards.
  • Strengthened controls and shortened close cycles with automated checks and reconciliations.

Let's build your finance data stack

Email: miamurphyvt@gmail.com · LinkedIn: linkedin.com/in/miamurphyvt

Engagement modes
  • Dashboards & executive reporting (Power BI, Python, SQL).
  • Close cycle automation & controls.
  • Data pipelines (Azure · Databricks · SQL) feeding finance.