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.

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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

📊 TariffLens 🚗 Commute Analyzer 🔬 Fragrance Analysis

Featured Applications

Understand and quantify tariff impact on your supply chain. Make informed budgeting decisions with real-time tariff analysis. Track tariffs across countries, calculate exposed spend, analyze annual tariff deltas, and model different scenarios including FX rate changes and tariff shocks.

Real-Time Calculations

Budget Impact Analysis

Proactive Alerts

Scenario Planning

Next.js TypeScript Tailwind CSS Data Analytics

Advanced fuel cost analysis using real elevation data to calculate energy consumption for hills and valleys. Compare traditional vehicles with hybrids, analyze speed distribution impact, and model winter weather effects for accurate fuel estimates and ROI calculations.

Elevation Data

Hybrid Comparison

ROI Analysis

Interactive Charts

Next.js 14 TypeScript Tailwind CSS Chart.js

Exploratory Analysis

Comprehensive exploratory data analysis of the top 1,000 perfumes using custom web scraping tools to harvest fragrance note details, ratings, and market trends. Analyzed brand performance, gender preferences, seasonal patterns, and emerging market dynamics including the rise of Lattafa Perfumes and shifting consumer preferences.

Web Scraping

Data Analysis

Market Research

Visualization

Python Pandas Plotly Seaborn

Built-in Dashboards

P&L Overview

Revenue COGS Gross Margin

Monthly

OEE & Throughput (Manufacturing)

OEE % Units/hr

Weekly

Working Capital

DSO DPO DIO

Quarterly

Close Cycle Tracker

On-time At risk Late

Tasks

Roles & Impact

Lactalis U.S. Yogurt · 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.

Better Buying · Data Analyst

Global brands: Amazon, Nike, Walmart, Target

Turned supplier data into dashboards and shareholder insights that improved sourcing practices.

Ann Clark Ltd. · Marketing Business Analyst

E-commerce analytics & optimization

Supported 18% e-commerce revenue growth through performance tracking and marketing optimization.

Now @ Cornell — MS in Business Analytics

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

Azure Data Factory

Databricks

Power BI / DAX

SQL Server

Python

SAP FICO

IBM TM1

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.