Michael Rosshirt

WORK HISTORY

EDUCATION

ABOUT MICHAEL ROSSHIRT

As an accomplished senior engineering leader specializing in data analytics with extensive industry experience in semiconductor packaging research and development, I bring a distinctive blend of technical leadership expertise and exceptional communication skills, grounded in advanced data analysis methods, to drive innovation, foster collaboration, and deliver cutting-edge solutions. I have honed my engineering leadership and integrated project management skills over 13 years working in all facets of the advanced semiconductor packaging industry with a core focus on yield data analytics at Intel.• As an Intel Technologist and then Manager I have led cross-functional teams in delivering 6X improvements in process yields along with product and factory certification on multiple first-of-a-kind cutting-edge packaging products. • I have led teams to drive best-in-class process yields on multiple generations of advanced disaggregated packaging architectures while delivering 30X improvement in interconnect density compared to legacy packaging. • I have created and delivered long-term yield roadmaps to executive management with target specs and actionable objectives to achieve >3X reduction in substrate manufacturing yield loss driving down costs, increasing factory capacity, and improving quality across multiple suppliers.• As a yield analyst I leveraged my core skills in statistical data analysis and expertise in JMP and Python to create multiple automated design-based predictive yield models to forecast substrate and assembly yields for internal fabs and external supplier factories streamlining analysis for supply-chain, finance, and executive customers. I have been recognized by peers and senior management as uniquely adept in leveraging advanced big-data analytics, machine learning algorithms, statistical and physics-based modeling, failure analysis, and compelling data visualizations with strong communication skills to take complex problems and distill them into clear actionable solutions. • I am passionate about using data analysis to uncover and quantify sources of variation in a process. • I find professional reward in using compelling visualizations to tell a story and communicate my insights to drive fundamental root cause understanding of an issue. • I have found success in translating those insights into predictive analytics tools to improve efficiency and ultimately prescriptive solutions for future product designs and processes.