Alex Galea has been professionally practicing data analytics since graduating with a Master's degree in Physics from the University of Guelph, Canada. He developed a keen interest in Python while researching quantum gases as part of his graduate studies. Alex is currently doing web data analytics, where Python continues to play a key role in his work. He is a frequent blogger about data-centric projects that involve Python and Jupyter Notebooks.

Elie Kawerk likes to solve problems using the analytical skills he has accumulated over the years. He uses the data science process, including statistical methods and machine learning, to extract insights from data and get value out of it.

His formal training is in computational physics. He used to simulate atomic and molecular physics phenomena with the help of supercomputers using the good old FORTRAN language; this involved a lot of linear algebra and quantum physics equations.

You can find out more about Elie on his LinkedIn profile (https://www.linkedin.com/in/elie-kawerk-data-scientist/).

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