Ryan Chartier

Background

About Ryan Chartier

I am a data engineer / data analyst. I have experience working with a wider range of technologies including: Python (7+ years), SQL databases (3+ years), JavaScript and HTML5 (2 years), R statistics (2 year), and PHP (2 years). I am a mathematically minded individual who excels at unraveling difficult and complicated problems. I have a wide-ranging education, beginning with my foundation in mathematics (Bachelor of Science, Mathematics Major), and continuing with a Masters in Applied Computing (Humanities Computing/Digital Humanities). I have three years of experience working as a research programmer for the University of Alberta, and four years working in numerous positions (data scientist, data engineer, analytics team lead) at Trust Science. I am always experimenting with computer models and technologies (I have even built my own experimental programming language). I pride myself in my ability to learn and adapt to new technologies quickly, as well as my ability to explain my findings to audiences that include individuals of any level of ability and experience. Because of my ability to quickly adapt to any situation, I have experience in everything from product design to bug fixes and user testing. I am interested in all things AI, machine learning, and decision theory, as well as in applying these technologies to real world practical issues.