I am working now a s performance analyst in the Battery storage system in Canadian solar.
During my 3 years experience as a data scientist in Boxbrite company, I search for different features of solar systems and their impact on the performance of photovoltaic systems (PV) systems, as well as machine-learning algorithms for PV systems production and fault detection. The highlighted part of my work is using output production to calculate related irradiance with high accuracy and applying it on peer-group sites of PV systems. Also using the CNN method with calculated irradiance to forecast a day ahead of production.

For more than nine years, I worked as a data analyst and senior information analyst for economic companies at Jahad Tahghighat group, Iran.

I was a postdoc visitor for nearly 2 years at the University of Waterloo.

For my Ph.D., I studied quantum gravity, black hole information paradoxes, entanglement entropy, and high-energy physics. I have researched black holes and quantum gravity for about seven years. I also have five years’ experience as a teaching assistant, tutor and, part-time lecturer.

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  Data science leader in Boxbrite

  Solar monitoring for your renewable energy systems