Jinu Jayan is a Team Lead in Data Analytics and Modelling based in Bengaluru with eight years of experience building ML and GenAI solutions to drive cost reduction and operational efficiency. At Accenture he architects and scales prediction models—ranging from project demand optimization to price forecasting for employee transport—that translate business problems into measurable impact. His background in systems integration from an earlier Capgemini role gives him a rare fluency across enterprise EAI landscapes (SAP, Siebel, Oracle, J2EE, MQ) which helps bridge data engineering and model delivery. Trained through Udacity nanodegrees in Data Science and NLP, he pairs practical ML production experience with solid foundations in feature engineering and applied NLP. Known for demonstrating telecom-focused AI on both business and network sides, he combines domain depth with hands-on modeling to tackle real operational constraints. Colleagues rely on him for pragmatic architectures that balance accuracy, scalability, and cost.
8 years of coding experience
Bachelor of Engineering - BE, Electrical and Electronics Engineering, Bachelor of Engineering - BE, Electrical and Electronics Engineering at Bangalore Institute Of Technology
Nanodegree, Data Science, Nanodegree, Data Science at Udacity
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