Financial systems leader with 15+ years of experience translating complex operational data into executive-level insight. Former CFO and U.S. Navy Nuclear Power veteran with a focus on behavioral analytics, system design, and decision support.

This GitHub hosts published analytical case studies and supporting artifacts that demonstrate how data can be structured, analyzed, and communicated for real business impact.

Behavioral analysis of smart-device usage patterns

An end-to-end analytical audit using Fitbit-style proxy data to evaluate engagement consistency, recovery behavior, and product intervention opportunities.

• Executive-ready narrative and recommendations
• Robust, reproducible R analysis (Kaggle → GitHub)
• Emphasis on interpretability, limitations, and scalability

📘 Repository: bellabeat-user-engagement-audit
🔗 Live Notebook: Kaggle execution linked in repo README

• Prioritize clarity over complexity
• Design analysis for decision-makers, not dashboards alone
• Treat analytics as an audit discipline, not exploration theater
• Build artifacts that scale across tools, teams, and contexts

• Languages: R, SQL, Python
• Analytics & Visualization: ggplot2, Power BI, Tableau, Excel
• Data Platforms: BigQuery (GCP), PostgreSQL
• Systems: NetSuite (architecture & implementation), ERP integrations

Additional repositories may include archived or exploratory work.
Pinned projects represent current, completed, and review-ready analysis.

I am a former CFO and U.S. Navy (Nuclear Power) veteran with over 15 years of experience architecting financial operations and leading multi-entity organizations. I am now making a deliberate, hands-on pivot to a career in data, with a long-term goal of becoming a Data Engineer.

My unique value proposition is the ability to bridge the gap between high-level business strategy and ground-level technical execution. I don't just analyze the data; I understand how to build the systems that produce it and translate the results into actionable business insights.

I am currently deepening my technical toolkit to complement my deep background in finance and systems architecture. My primary focus is on:

• Data Engineering Fundamentals: Building robust ETL pipelines, data modeling, and working with cloud data platforms.
• Advanced Analytics & Visualization: Using Python, SQL, and BI tools to uncover insights and tell compelling stories with data.
• Cloud Technologies: Currently enrolled in the Google Data Analytics Certificate, with a focus on BigQuery and related GCP tools.

Below are highlights from my portfolio. Each project is documented as a business case study, detailing the problem, the process, and the quantified outcome.

• Project 1: The Architecture Story - ERP Implementation
  • Description: A case study on leading a ground-up NetSuite ERP implementation that reduced the month-end close by 71% and saved over $150k annually.
  • Tags: Systems Architecture, Process Automation, Financial Controls, NetSuite
• Project 2: The Insight Story - Executive KPI Dashboard
  • Description: A walkthrough of designing and building a consolidated KPI dashboard that improved sales forecast accuracy by 30% for executive leadership.
  • Tags: Business Intelligence, Data Visualization, Power BI, FP&A
• Project 3: The Automation Story - SQL for SaaS Revenue Analysis
  • Description: A technical breakdown of how custom SQL queries automated revenue analysis, saving over 20 hours of manual work per month and ensuring SOX compliance.
  • Tags: Data Analysis, Automation, SQL, FinTech

Core Languages: Python, SQL Databases: Oracle (experience), BigQuery (learning), PostgreSQL BI & Visualization: Power BI, Tableau, Excel (Advanced, Power Query) Cloud: Google Cloud Platform (GCP) ERP Systems: NetSuite (Architect/Implementer), SAP/Oracle (User)

The ability to communicate complex data topics is as important as the technical skill itself. I produce articles and audio case studies to explore these ideas further.

Explore My Data Narratives & Content Portfolio