In the world of data science, SQL still remains the powerful tool for defining the data, data manipulation, data aggregation and data analysis. While basic SQL commands are very fundamental, and everyone knows about it. If you want to be the unique in …
AI assistants are becoming a practical interface for analytics workflows. Instead of switching between dashboards, notebooks, and SQL…Continue reading on Medium »
Where Agents Meet Data FoundationsIn the early days of analytics and AI projects, especially proofs of concept, data rarely lived where it should. We passed around CSV files, Excel sheets, and one-off extracts. Models were trained offline and insights …
Somewhere between my third rewrite of a Python pipeline that consumed claims data, called an LLM API, parsed a JSON blob, and shoved it…Continue reading on Towards AI »
Let me be honest with you upfront.Continue reading on AI & Analytics Diaries »
Work Faster, Smarter, and Stand Out in a Competitive MarketContinue reading on Medium »
Part 4 of the SQL Query Generator Series — The Self-Correction Retry LoopThis series builds a complete natural language → SQL system step by step. Part 1 built the schema-aware generator. Part 2 added safety validation. Part 3 wired in execution and re…
I Turned an Archived 23K-Star Text-to-SQL Project Into a Self-Hosted Tool That Actually Works Out of the BoxVanna.ai is a text-to-SQL framework that lets you ask questions in plain English and get SQL queries, results, and charts back. It gained over 2…
A first-person walkthrough of building a natural language data agent from scratch: the architecture, the tools, the blocker that changed everything, and what I learned about how agents actually work in practice.I am a data engineer, not an AI researche…
Smoothing techniques to stabilize demand signals and improve inventory planning accuracyContinue reading on Medium »