Master Thesis
'Transformer learning for traffic prediction in mobile networks' @ Ericsson Research, Sustainable AIhttp://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-304575
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Daniel Wass previously worked as Master Thesis at Ericsson and Summer/part-time at Bambora. Daniel Wass holds Master Of Science, Computer Science (Machine Learning), Gpa 4.6/5 from Kungliga Tekniska Högskolan.
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Listed skills include Java, Python, Sql, Matlab, and 6 others.
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Stockholm, Sverige
'Transformer learning for traffic prediction in mobile networks' @ Ericsson Research, Sustainable AIhttp://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-304575
Stockholm, Sverige
Summer intern and part-time at the Risk Team and at Growth Analytics.
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Daniel Wass is based in Greater Stockholm Metropolitan Area, Sweden, Sweden.
Daniel Wass has worked for Ericsson and Bambora.
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Daniel Wass holds Master Of Science, Computer Science (Machine Learning), Gpa 4.6/5 from Kungliga Tekniska Högskolan.
Daniel Wass is listed with skills including Java, Python, Sql, Matlab, Javascript, Html, Go, and Cascading Style Sheets.
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