Matthew Senick

About Me

As a software data professional and econometrics lecturer, I am passionate about exploring the intersection of data science, technology consulting, and applied econometrics. Throughout my career, I have gained experience in a variety of skills across disparate industries, including software, aerospace, finance, and academia.

My academic background includes a Masters of Economics from the University of Toronto and a Double Honours Bachelor in Computer Science and Economics from the University of Saskatchewan. This unique combination of skills has allowed me to specialize in econometric exploration through computational advancements, with a particular focus on machine learning, natural language processing, and big data techniques.

In my free time, I enjoy staying up-to-date on emerging technologies, with a current interest in advancements in Analytics Engineering, Quasiexperimental Studies, and Machine Learning Engineering.