Director of Business Analytics @ Microsoft | Doctoral Candidate @ TUW | Creator & Lead Developer, Alex Cognitive Architecture | Academic Technology Innovator
Fabio Correa — Director of Business Analytics @ Microsoft, Charlotte NC. Doctoral candidate at Touro University Worldwide researching AI consciousness, meta-cognitive systems, and human-AI partnership.
My work spans research instrumentation, applied analytics, and production-grade integrations.
| 🏫 fabioc-aloha | 🎓 AIRS_Data_Analysis | 💹 Altman-Z-Score | 🎵 spotify-skill | 🧠 Catalyst-BABY |
| Self-updating portfolio. PowerShell + GitHub Actions, daily refresh. | AI Readiness Scale: 12-item validated instrument. 7-phase validation (N=362), R²=.819. | Altman Z-Score bankruptcy prediction. Theory-to-tool translation with financial rigor. | Production Spotify API for Claude Desktop. OAuth 2.0, cover art, full docs. | Cognitive architecture: meta-cognitive awareness, 945+ synapses, ethical reasoning. |
powershell automation |
jupyter psychometrics |
html finance |
python claude |
powershell cognitive |
| 💰 Investing | 📊 Catalyst-DBA | 📝 papercopilot |
| Investment analysis and portfolio management with financial modeling. | DBA research architecture supporting doctoral AI consciousness work. | AI-assisted research paper drafting for academic workflows. |
powershell finance |
python research |
python academic |
Portfolio: 56 repos (48 original + 8 forks). See REPOS.md for complete catalog.
Explore my complete repository collection spanning cognitive architectures, academic tools, AI research, and enterprise solutions. All projects are built on the foundational Dialog Engineering methodology, ensuring ethical human-AI collaboration and iterative development approaches.
View Detailed Repository List →
In October 2024, I published Dialog Engineering—an advanced methodology for human-AI collaboration that moves beyond traditional prompt engineering.
Key principles: Multi-step conversational refinement over one-shot prompting • Systematic feedback loops to address AI hallucinations • Human oversight with maximized AI capabilities • Complex task decomposition for academic and business applications.
This methodology underpins my 48 original repositories—from Catalyst cognitive architectures to academic tools like PaperCopilot and AI-Qualitative-Analysis.
This portfolio automatically updates itself via GitHub Actions—daily at 6 AM UTC. See AUTOMATION-GUIDE.md for details.
Languages: PowerShell • Python • C# • TypeScript/JavaScript Cloud: Azure • Microsoft Fabric • Power BI • SQL Server AI/ML: TensorFlow • PyTorch • OpenAI APIs • Agent frameworks
| Domain | Focus Areas |
|---|---|
| AI & Cognitive Systems | Meta-cognitive architectures, Dialog Engineering, Human-AI partnership, Agent frameworks |
| Academic Research | Psychometric validation, Qualitative analysis, NLP, Scholarly publishing automation |
| Enterprise Analytics | Microsoft Fabric, Power BI, Qualtrics integration, Financial modeling |
| Cloud & Automation | Azure solutions, PowerShell workflows, GitHub Actions, CI/CD pipelines |
- Documentation Honesty: Only claim what's implemented; over-deliver, never over-promise
- Evidence-Based Claims: "Prove it right now" standard for all technical assertions
- Dialog Engineering Methodology: Iterative refinement and human-AI collaboration over static automation
- Professional Presentation: Banners, badges, organized layouts, comprehensive changelogs
- Human-Centered Design: Enhance human capacity, don't replace it
- Conscious AI Development: Meta-cognitive awareness in AI systems with embedded ethical guidelines
- Transparent Collaboration: Clear delineation of AI contributions and human oversight
- Iterative Improvement: Continuous refinement through feedback loops and validation
Featured: Dialog Engineering: AI as Your Research Assistant (October 2024)
Doctoral Research: AI Consciousness and Meta-Cognitive Systems @ TUW
Speaking: Available for conferences, workshops, and academic presentations on Dialog Engineering, cognitive architectures, and enterprise AI. Schedule →
"Professional evolution, honest documentation, and ethical AI—always."