Welcome To My Site

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Author

E. Pitzer

Published

November 22, 2025

About This Portfolio

This site showcases my approach to data analysis as I study data science using Python, opensource Python libraries and apply these learnings to projects and ‘Case Studies’. A number of these projects are automated, reproducible data products that replace manual reporting workflows (static one time data runs / one-time data source dashboards).

What You’ll Find Here

Case Studies — Technical deep dives featuring: - Python-based ETL pipeline architectures - CI/CD automation with GitHub Actions - Data validation and quality frameworks using opensource Python Libraries (Numpy, Pandas, SciPy and scikit-learn as examples).

Dashboards — Business intelligence solutions including: - Interactive Tableau visualizations - Healthcare analytics dashboards - Operational reporting tools

My Development Philosophy

I embrace AI-augmented programming as a way to enhance, not replace, human developed and produced work. AI assistants provide real-time feedback, accelerate iteration cycles, and enable active learning through concept review and self-testing.

I believe responsible use requires: - Human oversight: Understanding and verifying all deployed code - Transparency: Being clear about AI tool usage - Continuous learning: Using AI to deepen technical understanding, not bypass it

The goal is augmented intelligence: combining human judgment and domain expertise with AI’s ability to generate solutions and explain complex concepts.

Questions or collaboration opportunities? Reach out via GitHub or LinkedIn.