Yaajnu Subramanian

Yaajnu Subramanian is a Machine Learning Engineer at Mechademy Incorporated since December 2020, specializing in the creation of machine learning models for predictive maintenance of industrial machines, which has successfully reduced plant downtime. Significant contributions include centralizing large historical datasets, implementing noise filtering techniques, enhancing alert systems with model explainability features, and developing automated reporting libraries. Prior experience includes roles as a Machine Learning Intern, where models were built for predictive maintenance and natural language processing techniques were applied, as well as conducting extensive research during a Bachelor's thesis at Shiv Nadar University focused on resistive random access memory devices. Educational background includes a Bachelor of Science in Physics from Shiv Nadar University and earlier schooling at Sagar Public School.