Praneeth Srivanth is a Yield Analysis Engineer at Micron Technology since September 2024, previously serving as a Materials Data Scientist at Multiscale Technologies Inc, where significant advancements in high-throughput anomaly detection of wafer processing sensor data were achieved. Praneeth holds a Master's degree in Chemical and Biomolecular Engineering from the University of California, Berkeley and a Bachelor's degree in Chemical Engineering from the Indian Institute of Technology, Madras. Research experiences include leading projects in semiconductor processing at UC Berkeley, developing machine learning workflows for design space screening, and innovative applications of computer vision in agriculture and bioplastics at Sea6 Energy Private Limited. Praneeth's extensive background also includes internships focused on data analysis, IoT applications, and quality assurance across various sectors, contributing to process optimization and technology development.
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