This website is part of the work.
McQueenCloud.com is being built as a practical business presence using Google Workspace, Google Sites, a custom domain, and a roadmap toward deeper Google Cloud integration. The site is intended to function as both a business website and a live proof-of-capability artifact.
Business Value
Demonstrates practical use of Google tools, custom-domain business presence, clear service positioning, and an incremental approach to cloud adoption.
Technical Focus
Google Sites
Google Workspace
Custom domain
Future Google Cloud integration
Future consultation intake workflows
Key Idea
The website itself is a proof-of-capability artifact: a real business presence built with Google tools today and designed for deeper Google Cloud integration over time.
A lightweight analytics initiative designed for a nonprofit environment using low-cost, maintainable tools.
The work focused on improving data collection, standardizing simple inputs, and preparing the organization for better visibility into engagement, participation, and operational trends.
Business Value
Helps a mission-driven organization make better decisions using tools it can afford, understand, and maintain.
Technical Focus
Google Forms
Google Sheets
Google Apps Script
Looker Studio
Data collection design
Lightweight reporting workflows
Key Idea
The right solution is not always the most advanced solution. In smaller organizations, maintainability often matters more than technical sophistication.
A modern analytics engineering project focused on finance-style data modeling, structured transformations, and business-friendly reporting outputs.
The project demonstrates how raw operational or financial data can be organized into cleaner reporting layers that support analysis, controls, and recurring business review.
Business Value
Shows how scattered finance data can be structured into repeatable reporting models that are easier to test, maintain, and explain.
Technical Focus
SQL
dbt-style transformation logic
Data modeling
Docker-based development
Analytics engineering
Finance-oriented reporting structures
Key Idea
Good reporting starts before the dashboard. It depends on clear definitions, reliable transformation logic, and data structures that match the decisions the business needs to make.
Parqcel is a desktop data analysis designed to help users inspect, profile, and transform local files such as CSV, Excel, and Parquet datasets.
The project reflects a practical problem many analysts face: large files, inconsistent formats, manual cleanup, and the need to understand data quickly before building reports or pipelines.
Business Value
Supports faster data understanding, cleaner transformations, and more reliable analysis before data is used in reporting or decision-making.
Technical Focus
Python
Polars
Desktop application design
Data profiling
Data transformation
Testing and modular code structure
Key Idea
Analysts need tools that are fast, understandable, and built around real data workflows—not just polished demos.
A sanitized example of enterprise-style reporting modernization focused on improving reliability, reducing manual effort, and supporting leadership decision-making in a controls-aware environment.
The work involved understanding current reporting processes, identifying modernization risks, clarifying requirements, and helping bridge communication between business and technical stakeholders.
Business Value
Supports more reliable reporting, better process visibility, and stronger alignment between business needs and technical implementation.
Technical Focus
Reporting modernization
BI workflows
Requirements gathering
Stakeholder alignment
Cloud-based analytics concepts
Controls-aware reporting processes
Key Idea
Modernization is not just a technical migration. It is a business-risk, process, adoption, and communication problem.