Team Spotlight: Introducing Lead Data Scientist, Dr. Bahman Roostaei

Q&A Session by Sabrina Strauss, Office Manager

In this feature, we interview team members to learn more about their passions and their interest in water.

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Bahman Roostaei comes from 17 years of theoretical Physics research in statistical patterns of random and quantum systems. Besides a PhD in Physics he has also an MSc degree in Data Science with focus on machine learning and advanced statistics. His main focus has been on developing software for analysis of sequential data such as water, energy consumption or RNA sequences. Bahman is passionate about environment and curious to how to monitor environmental elements using complex data. He also enjoys hiking, Persian Calligraphy and cooking in his spare time.

Q: How did you get into Data Science?

A: My background is in science, I am a Physicist. The tools and methods of prediction based on observation are the basics of what I used to do in Physics. Data Science is not much different. It just uses different types of algorithms and laws, but it is still the same for observations and predictions.

At some point I decided to change from academic research to Data Science, to come to the Bay Area and to pursue work in the private sector. At the point I made the transition, I learned about huge developments in Data Science. There used to be very little interesting activity in data science. From the time that Amazon Web Services came up and the cloud technology started to develop, big data started to become a big deal.Methods and algorithms were already out there, but they weren’t used much,  the technology for it was not advanced yet.

When I learned about AWS and learned how it is now easy and possible to use data science, I became interested I pursuing this field for my career. This was about 5 years ago.

Q: Why did you decide to apply for the Data Science position at Valor Water Analytics?

A: My first job in the Bay Area was a company that worked with meter technology and meter data, mainly electronic meter data. They measured house electricity consumption and focused on conservation of energy. I also have a personal interest in environmental data, including weather, energy, and pollution problems. I was looking for an environmental related job, but then I realized that there is also water meter technology that uses data science. That is why I applied at Valor Water Analytics.