Kelvin

• Own the end-to-end lifecycle: problem framing → data readiness → modeling → deployment → monitoring → iteration • Define and execute roadmap areas like anomaly/event detection, asset/process health, root-cause support, optimization, and closed-loop decision support • Partner with industrial customers and SMEs to translate real process constraints into ML/optimization/decisioning solutions • Drive unsupervised/self-supervised initiatives • Lead and mentor DS talent, set processes, frameworks and quality standards • Build and deploy AI / ML solutions / models in production