Independent Consultant- Analytics As A Service
CurrentI'm considering next career opportunity. I can contribute towards building and leading a Data Science as a Service practice for any organization.I'm also open for consulting opportunities in the following areas:1. Data Science and Analytics (domain independent)2. Application of Machine Learning to Semiconductor Fab Data to build non-linear predictive models for yield, reliability, process and equipment performance optimization etc.3. Manufacturing… Show more I'm considering next career opportunity. I can contribute towards building and leading a Data Science as a Service practice for any organization.I'm also open for consulting opportunities in the following areas:1. Data Science and Analytics (domain independent)2. Application of Machine Learning to Semiconductor Fab Data to build non-linear predictive models for yield, reliability, process and equipment performance optimization etc.3. Manufacturing optimization4. Semiconductor BEOL process integration- Design enablement5. Semiconductor Dry Etch Process and EquipmentBelow are a few of my strengths and accomplishments: 1. A natural leader who can lead teams by example and through discipline, humility and respect.2. A very quick learner. My primary educational training is in Chemical Engineering but I learnt an entirely new field (Computer Science, AI & Cognitive Computing) in a short period of time and made high impact contributions and also wrote up a publication for the same.3. I carry domain experience & knowledge in the area of Semiconductor Process Engineering & Manufacturing (Back End of Line Interconnect Manufacturing) and made several significant contributions during my tenure (> 6 years) at Intel Corporation in the US. Recipient of 5 divisional awards & recognized as Distinguished Process Engineer.4. I've more than 800 citations for my work from Ph.D. and have > 10 peer reviewed publications including Science & Nanoletters. My Ph.D. thesis work was reviewed as a news & views article in Nature Materials. Show less