Hi, I'm Dylan Terry-Doyle, I specialise in Economics, Complex Systems Modelling, and Data Analysis. I have worked previously for Nationwide Building Society as a Senior Data Analyst, I have a MSc in Complex Systems Modelling and a BSc in Economics.
Mathematical and statistical modelling, economics, machine learning, programming, and data analysis, complemented by effective communication and people skills.
I have a MSc in Complex Systems Modelling from King's College London. This course taught me how to apply mathematical techniques in the rapidly developing and exciting interdisciplinary field of complex systems to a variety of areas including physics, biomedicine, nature, economics, finance, and social sciences. My BSc was in Economics from the University of Sussex, where I focused on agent-based modelling, complexity economics, and the impact of zero growth on the economy.
I am interested in macroeconomics, in particular zero-growth, modern monetary theory, circular economy, ecological economics, financial crises, and systemic risk. My interests also extend to applied mathematics, such as complex systems, statistical learning, and machine learning.
Python (NumPy, SciPy, Pandas, SciKit-Learn, TensorFlow), SAS, SQL, C++, Stata, MATLAB, Git, VBA/Excel.
If you have any questions or would like to discuss a potential project, please feel free to contact me using the form on this website.
I have worked with Nationwide Building Society as a Senior Data Analyst where I generated comprehensive reports leveraging SAS and SQL to distil complex data for non-technical users, providing in-depth insights into key performance indicators, and aiding in informed decision-making for the organisation.
Prior to my position as Senior Analyst at Nationwide I was a Data Quality Analyst where I applied advanced statistical time series forecasting techniques to identify potential data quality breaches and providing valuable insights into the future evolution of key internal and external indicators.
As a Junior Research Associate for the University of Sussex I conceptualised, designed, and programmed an agent-based model in Python to analyse the implications of zero productivity growth on a theoretical economy.
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