Pooja Ganesh is currently a Data Science Intern at Genmab, specializing in AI product insights using Snowflake and Tableau. Previous experiences include roles as a Research Assistant at the University of Illinois Urbana-Champaign, where Pooja achieved 96% accuracy in seismic waveform predictions through deep neural networks. Other internships include significant contributions at Fermilab, where Pooja led data preprocessing initiatives and developed a link prediction model, and various roles at organizations such as ITER Organization, IIT Roorkee, and Samsung Electronics, focusing on machine learning applications across different domains. Pooja holds a Master’s degree in Computer Science from the University of Illinois Urbana-Champaign and a Bachelor's degree in Big Data Analytics from SRM IST Chennai.
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