Artificial intelligence does not exist in a vacuum. Behind every well-trained model, every accurate recommendation engine, ...
The data analysis team at the Department for Business and Trade (DBT) is playing a key role in transforming how the ...
This is a portfolio project I built to demonstrate how data engineering, machine learning, and operations research connect in a real business context. The platform predicts retail demand at SKU-store ...
Recent SQL Server 2025, Azure SQL, SSMS 22 and Fabric announcements highlight new event streaming and vector search capabilities, plus expanding monitoring and ontology tooling -- with tradeoffs in ...
The purpose of the Text-to-SQL task is to bridge the gap between natural language and SQL queries. Current approaches mainly rely on large language models (LLMs), but employing them for Text-to-SQL ha ...
An AI-powered debugger that ingests broken SQL/dbt models and error messages, reconstructs pipeline lineage, and outputs confidence-scored root causes with corrected ...
Data work in 2026 asks for more than chart building. Professionals are expected to clean data, query databases, explain trends, and present findings clearly across business, finance, product, and ...
Data/Business Intelligence Engineer focused on building governed, trustworthy AI for data platforms and NL analytics. Data/Business Intelligence Engineer focused on building governed, trustworthy AI ...
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