Welcome to chart-it, an experiment in data analytics and visualization, where I try to answer some of life’s interesting questions by analyzing large data sets using Python.
My name is Mike Azar. I am a Washington, D.C. finance professional with eight years of experience in international structured and project finance. I advise financing institutions, including commercial lenders and government financing agencies, in the evaluation, negotiation, and execution of large project finance loan transactions in the infrastructure, oil and gas, petrochemical, power, and renewable energy sectors. I’m also a hobbyist programmers and a data analytics and visualization blogger.
I earned my undergraduate degree in business economics at the University of California, Los Angeles (UCLA) and my masters in international energy policy and finance at Johns Hopkins School of Advanced International Studies (SAIS), where I currently am an adjunct professor in Project Finance.
Feel free to contact me with feedback on my posts or interest topic ideas.
Transparency is paramount at chart-it. The source code for all of the analysis is made public on my Gist page.