OM DENNE EPISODE
Both an academic and industry weapon! They've swiftly navigated through a series of successful internships at notable tech companies, honing their skills in machine learning and back-end engineering, as well as attending our very own University of Waterloo. At WOMBO.ai, they've played a crucial role as a founding engineer, contributing to the app's ranking in the top 5 on the App Store in over 20 countries, boasting over 50 million downloads. Their experience extends to Jane Street, Groq, and Splunk, where they've tackled challenges in areas like ultra-low latency trading systems, ML compilers, and back-end analytics respectively. So please welcome Nayva!
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UDSKRIFT 🔗
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ANDRE EPISODE I DENNE PODKAST
Erika Torres is a highly regarded data scientist in the sports and entertainment industry. While currently at MLSE - Maple Leaf Sports & Entertainment Partnership, Erika works with Toronto FC Soccer Analytics to analyze spatial data, develop predictive models, and build high-quality datasets. H…
Charles Qi is an absolute data science weapon - he’s graduated with a M.S. and PHD in Electrical Engineering from Stanford. He’s been through the Data Science walks of life, working at places like Google, Nuro, and Facebook AI research on some of the coolest projects I’ve ever seen! He’s now at Way…
Ivan is a Data Scientist at Evil Geniuses. He’s a bit of a data science vet with a lot of previous experiences wrestling with data at places like Disney and MRM. He’s here today to enlighten us about data in the eSports industry and his overall experiences in the space, please welcome Ivan!. We go …
Data Science!
Ansvarsfraskrivelse: Podkasten og kunstværket, det finnes indlejret på denne siden, er fra University of Waterloo Data Science Club, som tilhører dens eier og ikke er tilknyttet eller godkjent av Listen Notes, Inc.
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