Schibsted
Saikiran Tharimena is a Senior Data Specialist in Performance Insights at Schibsted Media, specializing in sentiment analysis models to mitigate bias in media content. Concurrently, Saikiran serves as the lead instructor for the Deep Learning track at Schibsted AI Academy, where training is provided to employees globally. Previous experience includes a role as a Data Scientist at Helthjem, where Saikiran developed highly accurate forecasting models for delivery times. Prior research conducted at the Institut für Meteorologie und Geophysik der Universität Wien focused on machine and deep learning for geophysical exploration. Saikiran has also contributed to NASA's Jet Propulsion Laboratory by developing tools for Mars exploration and held roles at the University of Southampton, culminating in a Ph.D. in Earth Sciences. The academic background includes degrees in Earth Sciences and Civil Engineering from notable institutions.
Schibsted
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Schibsted is an international media group that engages 200+ million users in 22+ countries. Our strategy to become a global leader within our fields is bold. It consists of three elements that work seamlessly together: Classifieds, Growth and Media Houses.