SakuraAI

An Earl McGowen Company

Portfolio

Projects

Case studies that show how I design and build real-world systems across AI, data engineering, data warehousing, and analytics.

Each project page focuses on evidence: problem, architecture, tech stack, guardrails, and outcomes.

In Progress

Predictive No-Show Modeling

End-to-end predictive analytics workflow for appointment no-shows: feature engineering, model evaluation (ROC/PR-AUC), and deployment plan.

Python ML Evaluation Analytics

Tip: When ready, create /projects/predictive-modeling.

In Progress

Data Warehouse & ETL Design

Dimensional modeling, governance-aware pipelines, and analytics-ready marts. Focus on reliability, auditability, and BI performance.

SQL DW ETL BI

Tip: When ready, create /projects/data-warehouse.

In Progress

RAG for Analytics

Retrieval-augmented generation patterns for internal knowledge + analytics context, with evaluation, prompt-injection resistance, and monitoring.

RAG Embeddings Eval Observability

Tip: When ready, create /projects/rag-analytics.