Data Science Applied to Manufacturing Problems

Abstract: 

Manufacturers of modern age are looking for data science solutions to help move their 3 key metrics, - Produce more, Be efficient and optimize resource utilization, and ship with highest possible quality. Given these 3 KPIs , we will understand how data science influences each of these and will deep dive over the key projects that have influenced these KPIs. We deep down on specific projects. Eg how we use recursive hypothesis testing to reduce the testing frequency, how we understand the physics behind a test and optimize, how we make mass production decisions based on design of experiments and small distribution analysis.

Bio: 

Angad Arora is a seasoned professional with a wealth of expertise in manufacturing and quality for leading tech companies. With his innovative approach to lean manufacturing using data science, he has successfully saved millions of dollars for consumer electronics manufacturing lines. Currently serving as a Product Quality Manager at Google Inc., Angad continues to drive excellence and ensure top-notch product quality in the dynamic world of technology.

Open Data Science

 

 

 

Open Data Science
One Broadway
Cambridge, MA 02142
info@odsc.com

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