Python as the Glue Layer for AI-Augmented Analytics
A Streamlit demo showing how Python can connect business questions, metadata, AI-generated SQL, validation and analytical explanation in one lightweight workflow.
Read article →Data · AI · Business Intelligence
I explore AI-augmented analytics, metadata quality, semantic layers, self-service BI and analytics leadership from the perspective of a hands-on data leader.
Current focus
How AI changes the way analytical products, dashboards and decision-support tools are created.
Why reliable AI-assisted analytics depends on clear definitions, governed metrics and trustworthy semantic layers.
Practical reflections on BI modernization, platform thinking, data teams and the changing role of analytics professionals.
Writing
A Streamlit demo showing how Python can connect business questions, metadata, AI-generated SQL, validation and analytical explanation in one lightweight workflow.
Read article →Featured project
A Streamlit-based presentation app showing how Python can connect business questions, data, AI-assisted reasoning, SQL-like logic, validation and explanation in one lightweight workflow.
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