SensorFlow
Sindhu Shetty is a Data Scientist at SensorFlow since January 2019, specializing in automating decision making and enhancing energy efficiency for hotels through real-time data from wireless sensors. Prior to this role, Sindhu served as a Research Engineer and PhD researcher at the National University of Singapore from August 2014 to December 2018, where responsibilities included building data analysis pipelines in R and Python, applying machine learning techniques to model user behavior, and communicating findings to the academic and industrial sectors. Sindhu holds a Doctor of Philosophy in Electrical and Computer Engineering from the National University of Singapore and a Bachelor of Technology in Electrical and Electronics Engineering from the National Institute of Technology Karnataka.
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SensorFlow
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Sensorflow’s wireless room automation & energy management solutions are flexible, easy to install and have provided proven energy savings of up to 30% per room per year.