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Data Scientist
McMaster University•  September 2017 - Present
As a Data Scientist who is fluent in three different languages, I am proud to be helping local industries in Ontario to adopt machine learning in their decision-making processes. Prior to working as a Data Scientist and Principle Research Engineer for McMaster University, I had the pleasure of working as an Electrical Engineer in North American oil and gas industries. This experience coupled with my extensive educational background, has positioned me to be a top performing leader in my space. In 2013, I successfully obtained my PhD focused on the Application of ML in Power System Failure Detection from the University of Houston. My rewarding career has allowed me the ability to hone in on my leadership skills by teaching a course entitled "Predictive Analytics and Data Mining" at McMaster University. I am skilled in artificial intelligence and programming and looking forward to collaborating in areas such as predictive analytics and data mining.
Education
University of Houston
Electrical Engineering & Computer Science, PhD•  August 2010 - August 2013
I used machine learning to detect faults in electric power networks.
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