Fahad Ahmad, Data Science Leader at Halliburton, is the winner of the Data Scientist of the Year award for leading the company to successfully adopt a data mesh architecture. Fahad led the transformation of Halliburton’s data landscape by implementing Starburst data products and leveraging natural language processing with Gen AI. As a result, Halliburton achieved a significant reduction in query response times, from weeks to mere seconds, enabling real-time data-driven decision-making. Through the decentralized data management approach, Fahad broke down barriers and empowered users across 13 business lines to access and analyze data in real-time.

Fahad Ahmad

Data Science Leader, Halliburton

After building good quality data products with Starburst, we saw an opportunity to use LLM to help with that process. Previously it would take 2 to 3 weeks to get an answer to an ad hoc question. By embedding an LLM with Starburst's data products architecture, data consumers can ask questions in plain language, have it converted to SQL, and get the answer back immediately.


Fun Facts

— Fahad Ahmad

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