Wish Bakshi

Wish Bakshi

Applied ML Computer Scientist
Capital Power

Categories covered by Wish

Talks covered by this speaker


MLOPs on Terabyte Scale Data

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About this Speaker

Wish Bakshi is an applied machine learning computer scientist at Capital Power. While his formal training is in economics, statistics and computer science, he enjoys delving into cross domain application of machine learning. In the past he has worked on projects ranging from identifying value add ventures in the retail space using NLP to identifying remaining useful life (RUL) of turbine components on real time data. Currently, he is focused on building a standardized approach for MLOPs to merge software engineering principles with data science. In his free time he enjoys jiu jitsu sessions and to chat about macro economic first principles. He is an avid supporter of BTC and blockchain technology.

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