Conor Doyle

Background

About Conor Doyle

I love the challenge of making sense of complex systems. Whether it's a debugging a piece of code or constructing a proof, the process of learning, developing and implementing an idea is what drives me. Nothing is more satisfying than seeing a hard-fought project come to fruition. In my post grad studies, there were no shortages of opportunities to explore new problems in the field of mathematics. Some of the projects I worked on covered topics in Deep Learning, Differential Equations, and Numerical Analysis. Now, as I enter the industry, I am looking forward to working on problems that leverage data. Challenges like enhancing operational applications or designing forecasting models are areas that I find very exciting. At the moment my technical proficiencies include: Languages: Python, Matlab, Markdown, Latex Frameworks: Tensorflow, Pandas, Numpy, Git, Dash, Tableau Database: SQLite, MySQL, Oracle Methodologies: Machine Learning, Data Science, Deep Learning, Statistical Analysis, Linear Algebra, Optimization