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Dylan Terry-Doyle is listed as Data Analyst | MSc Complex Systems | BSc Economics based in London, England, United Kingdom. AeroLeads shows a matched LinkedIn profile for Dylan Terry-Doyle.
Dylan Terry-Doyle previously worked as Senior MI Analyst at Nationwide Building Society and Data Quality Analyst at Nationwide Building Society. Dylan Terry-Doyle holds Master Of Science - Ms, Complex Systems Modelling from King'S College London.
Analytical professional with a strong foundation in economics, mathematical modelling, data analysis, and data visualisation, seeking to leverage my expertise in quantitative research to contribute to impactful analysis. Proven experience in turning complex datasets into actionable insights, developing innovative analytical solutions, and presenting findings through clear and engaging visualisations.I enjoy problem-solving and have excellent quantitative and analytical skills, with a strong understanding of programming (OOP, machine learning, etc.) and statistical packages, with the majority of my experience in Python, SAS, SQL, Stata, and MS Excel. I also have good communication and people skills and enjoy a balance of working as a team and independently.
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Worked across all of Nationwide’s credit products within the Management Information team, developing and integrating advanced reporting capabilities enabling senior management in the Collections and Recoveries department to make data-informed decisions.
Responsible for the data integrity of the Collections and Recoveries department across all data quality dimensions, ensuring more accurate and reliable resources for the department’s operations. Applied statistical time-series forecasting techniques to identify potential data quality breaches, significantly reducing incorrectly inputted values and increasing data accuracy.
Fully funded research project, developing a macroeconomic agent-based model in Python to simulate the economy and study the effects of different policies. Explored the previously unstudied impact of zero firm productivity growth on a macroeconomic agent-based model of the economy.Developed the theoretical framework, implementing complex models and simulations in Python by employing object-oriented programming methods. Utilised Python to perform rigorous analysis of the results, highlighting key insights of zero productivity growth on income distribution, unemployment, inflation, market share volatility, financial risk, and economic crises. Presented findings to non-experts, honing communication skills and ability to simplify complex ideas and data into clear, impactful presentations.
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Dylan Terry-Doyle is listed as Data Analyst | MSc Complex Systems | BSc Economics.
Dylan Terry-Doyle is based in London, England, United Kingdom.
Dylan Terry-Doyle has worked for Nationwide Building Society and University Of Sussex.
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Dylan Terry-Doyle holds Master Of Science - Ms, Complex Systems Modelling from King'S College London.
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