Floodbase
Tanya Nair has a diverse work experience in the field of machine learning and engineering. Tanya began their career at Vineyard Networks as a QA Coop Engineer in 2012. Tanya then worked as an Engineering Coop at Broadcom from September to December 2012. In 2013, they joined Alcatel-Lucent as an IPD Product Engineering Coop for three months. Tanya continued their internship journey by joining Alcatel-Lucent again in 2014 as an IPD System Hardware Verification Engineering Coop for four months. In 2016, they interned at Synaptive Medical as a Scientific Developer Intern.
Tanya's professional growth continued as they became a Machine Learning Researcher at Imagia Cybernetics in July 2018. Tanya worked in this role for three years until 2021. In 2021, Tanya joined Floodbase as a Machine Learning Engineer and later transitioned to a Senior Machine Learning Engineer role in June 2022.
Overall, Tanya Nair's work experience showcases their expertise in machine learning, engineering, and research, with a focus on advancing technology in various industries.
Tanya Nair pursued their education in electrical engineering, starting with their Bachelor of Applied Science degree at The University of British Columbia from 2010 to 2015. Tanya then furthered their studies by completing their Masters of Engineering at McGill University from 2015 to 2018. Tanya's educational background primarily focuses on electrical engineering.
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Floodbase
Floodbase provides feature that enables insurers to add flood protection to existing wind parametric policies, creating the first-ever comprehensive hurricane parametric insurance offerings.This technology will allow flood insurance to be extended to every corner of the globe, closing a protection gap that cannot be closed without parametricinsurance.