Archith Sharma is a data science student and researcher at Carnegie Mellon University specializing in predictive modeling and machine learning. His work spans deep learning for earthquake detection and ecological data analysis for bird conservation, utilizing skills in Python and R. He holds an Exam P certification.
Outside of academics, Archith is passionate about applying technology to areas like sports analytics and conservation. He believes personal projects should be driven by genuine interest and learning. He has also served as a keynote speaker at an awards ceremony, demonstrating his public speaking skills.
He developed a novel impact factor to objectively rank international cricket players and predict match outcomes.
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