Raidh Razeen

Economics & Data

Interactive Dashboards, Research & Policy Insights

Economics & Mathematics undergraduate at the University of Sheffield exploring the intersection of applied economics, data-driven analysis, and interactive visualizations.

About

I'm an Economics & Mathematics undergraduate at the University of Sheffield, currently pursuing CFA Level I. My work focuses on applied econometrics, data visualisation, and turning complex economic data into clear, actionable insights. Through internships and hands-on projects, I build interactive dashboards and analytical tools that connect real-world behaviour with evidence-based economic analysis.

Projects

Interactive dashboards and data visualizations

UK Housing Affordability Dashboard

An interactive dashboard visualizing housing affordability across UK regions. Explore price-to-income ratios, mortgage affordability metrics, and regional variations through interactive choropleth maps and dynamic sliders. Built using comprehensive ONS housing data to provide insights into one of the UK's most pressing economic challenges.

PythonDash / PlotlyONS / UK housing data
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UK Retail Spending & Inflation Tracker

Dashboard comparing nominal vs real retail spending over time with interactive sliders to explore different time periods and inflation adjustments.

PythonDashONS dataInflation
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Remote Work & UK Income Analysis

Econometric analysis exploring how remote work during the pandemic relates to income patterns using panel data methods and statistical modeling.

EconometricsStataPanel data
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Future Dashboard Project

Placeholder for upcoming dashboard projects and data visualizations. More interactive economics dashboards coming soon.

Coming Soon
Coming soon →

Research & Writing

Academic research and economic analysis

An Empirical Analysis of California's 1990 Housing Market

A comprehensive machine learning analysis of California housing prices using 1990 U.S. census data. This study employs linear regression, Ridge, and Lasso models to predict median house values across California districts. The analysis includes extensive data cleaning, feature engineering of spatial patterns (Latitude², Longitude², and their interaction), and model evaluation. Key findings reveal that geographic location and average number of bedrooms are the most influential predictors of housing prices, with the best-performing model explaining 67.7% of price variation. The study demonstrates how spatial features capture the premium associated with coastal and metropolitan properties, providing insights into regional economic inequality and housing market dynamics.

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Monetary Policy, Bank Liquidity Creation, and Economic Growth

A structural VAR analysis examining the link between monetary policy, bank liquidity creation, and economic growth in the United States using quarterly data from 1988 to 2016. This study employs Bauer-Swanson (2023) orthogonalised monetary-policy shocks to isolate exogenous policy effects and address identification challenges. The findings reveal that contractionary monetary-policy shocks lead to short-lived declines in total liquidity creation and modest falls in real GDP growth, with off-balance-sheet activities responding more sharply than on-balance-sheet lending. The results provide evidence of a modest and asymmetric transmission mechanism, where policy effects depend critically on the nature of liquidity creation and the prevailing financial environment.

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Education

University of Sheffield

BSc Economics & Mathematics

Expected graduation: 2026

Experience

Financial Assistant

Cambridgeshire Community Services NHS Trust

Internship · Jul 2024 - Jul 2025 · 1 yr 1 mo

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Insurance Intern

Aon in the Middle East

Internship · Aug 2023 - Sep 2023 · 2 mos

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Skills

EconometricsTime-Series AnalysisPanel Data AnalysisCausal InferenceForecasting (ARIMA / VAR)Macroeconomic AnalysisMicroeconomic AnalysisPolicy AnalysisLabour Market EconomicsHousing Market Analysis

Contact

Open to collaborations on applied economics, dashboards, and research. Feel free to reach out!