Business Analytics / BI / Data Analyst candidate focused on Power BI, SQL, Python, workflow automation, financial data, market data, fintech, and quant-adjacent analytics.

I am completing a B.S. in Business Analytics at Oregon State University and building toward roles where analytics needs to become repeatable: KPI reporting, data quality checks, dashboarding, workflow automation, and decision-support tools.

Current target roles: Data Analyst, Business Intelligence Analyst, Business Analyst, Financial Analyst, Market Data Analyst, and analytics automation roles.

• Business intelligence and KPI reporting
• Financial data and market-data analytics
• Analytics automation and repeatable reporting workflows
• Applied Python / scikit-learn projects
• Public-safe project documentation and validation discipline

• Portfolio: https://www.michaelspanico.com
• Portfolio Website Docs: https://github.com/mp2123/Portfolio-Website-Docs
• Gemini/Codex Workflow Docs: https://github.com/mp2123/Gemini_Codex_Project_1_Docs
• Market & Quant Analytics Lab Docs: https://github.com/mp2123/Market-Quant-Analytics-Lab-Docs
• Market Data Dashboard Docs: https://github.com/mp2123/Market-Data-Dashboard-Docs
• Institutional Market Data Engine Docs: https://github.com/mp2123/Institutional-Market-Data-Engine-Docs
• QuantStrat ML Docs: https://github.com/mp2123/QuantStrat-ML-Docs
• Personal Finance Automation Docs: https://github.com/mp2123/Personal-Finance-Automation-Docs

Power BI, DAX, Power Query, SQL, Python, pandas, scikit-learn, Excel/VBA, Next.js, Git, workflow automation tools, and documentation-driven development practices.

Public projects use public, synthetic, or sanitized data. Employer proprietary context, private financial data, credentials, local machine configuration, raw transcripts, private resumes, and job-search records are not included in public repos.

Most implementation repos are intentionally private. Public *-Docs repos are short proof shells that explain the project, architecture, validation approach, and privacy boundaries without exposing private source code, credentials, local runtime paths, or sensitive data.

My strongest current fit is BI/data analytics, business analytics, financial data analytics, market-data analytics, and analytics automation. Quant trader, quant developer, and professional quant researcher roles are future/stretch directions, not current professional claims.

• LinkedIn: https://www.linkedin.com/in/michaelspanico
• Portfolio: https://www.michaelspanico.com