Kanishkan Tamilarasan is a seasoned Data Scientist at Lattice Semiconductor, with prior experience as a Graduate Research Associate at The Research Foundation for SUNY, where projects focused on statistical/AI/ML Intelligent reporting tools for the semiconductor industry. Kanishkan's expertise includes developing dashboards for wafer fabrication and die test monitoring using advanced statistical process control, building cloud data pipelines with AWS tools and programming languages such as Python and SQL, and creating algorithms for wafer failure analysis. Kanishkan holds a PhD in Industrial Engineering from Binghamton University, a Master's in Manufacturing Engineering from Wayne State University, and a Bachelor's in Mechanical Engineering. Past roles also include developing an AI-based social distancing monitoring system at Binghamton University and serving as a Project Controller at MI-GSO | PCUBED, where Kanishkan designed resource management dashboards for refinery operations.
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