Jahnab Kumar Deka

Meet 𝐉𝐚𝐡𝐧𝐚𝐛 𝐊𝐮𝐦𝐚𝐫 𝐃𝐞𝐤𝐚: A builder who has spent a decade moving from the competitive trenches of Kaggle to the high-stakes R&D labs of Dun & Bradstreet. Currently a 𝐌𝐚𝐧𝐚𝐠𝐞𝐫 𝐨𝐟 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞, Jahnab is focused on the "last mile" of AI aka turning experimental models into production-grade systems that actually work for enterprise users.
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🤖 𝐓𝐡𝐞 𝐒𝐡𝐢𝐟𝐭 𝐭𝐨 𝐀𝐠𝐞𝐧𝐭𝐢𝐜 𝐖𝐨𝐫𝐤𝐟𝐥𝐨𝐰𝐬

Jahnab is moving beyond the "Chatbot" trend to focus on Agentic AI. Using frameworks like LangGraph, he has led the development of internal GenAI assistants designed to automate complex reasoning tasks. His work at D&B focuses on a critical metric for the community: Operational Efficiency.
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🏗️ 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐢𝐧𝐠 𝐃&𝐁 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 𝐒𝐭𝐮𝐝𝐢𝐨

With a background as a 𝐭𝐨𝐩 𝟔% Kaggle 𝐜𝐨𝐦𝐩𝐞𝐭𝐢𝐭𝐨𝐫, Jahnab brings a "practitioner-first" perspective to his leadership. He is a key driver behind the 𝐃&𝐁 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 𝐒𝐭𝐮𝐝𝐢𝐨, a cloud-based platform designed to help data scientists bypass infrastructure hurdles and move straight to modeling. His focus on 𝐋𝐋𝐌𝐎𝐩𝐬 ensures that as these platforms adopt GenAI, they remain governed, monitored, and technically sound.
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⚡ 𝐆𝐫𝐨𝐮𝐧𝐝𝐞𝐝 𝐢𝐧 𝐏𝐫𝐞𝐝𝐢𝐜𝐭𝐢𝐯𝐞 𝐑𝐢𝐠𝐨𝐫

Jahnab’s career isn't built on hype but on a decade of predictive modeling. From his early research on 𝐃𝐫𝐢𝐯𝐞𝐫 𝐁𝐞𝐡𝐚𝐯𝐢𝐨𝐮𝐫 𝐑𝐞𝐜𝐨𝐠𝐧𝐢𝐭𝐢𝐨𝐧 to building ML-based 𝐀𝐧𝐭𝐢-𝐌𝐨𝐧𝐞𝐲 𝐋𝐚𝐮𝐧𝐝𝐞𝐫𝐢𝐧𝐠 (𝐀𝐌𝐋) solutions for global banks, he understands the precision required for regulated industries. Whether he is optimising a credit scorecard or contributing to 𝐀𝐮𝐭𝐨𝐌𝐋 𝐟𝐫𝐚𝐦𝐞𝐰𝐨𝐫𝐤𝐬, his approach remains the same: lead with technical execution and prove the impact.

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