Data & Operations Analyst · Dublin, Ireland
Turning complex, messy data into clear decisions. Working at the intersection of analytics, operational improvement, and sustainability.
Skills & Tools
Visualize & Report
Build & Automate
Analyze & Model
Domain Knowledge
Portfolio
Python · SQL · Sustainability
End-to-end data engineering and visualization project exploring which economies face the greatest CBAM exposure, integrating six datasets from raw API sources into a structured SQL database.
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HTML · Sustainability
A data story on our food system as a leading driver in environmental degradation, adapted from the WWF Living Planet Report and coded in HTML, CSS, and JavaScript with D3.js.
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R Shiny · Operations
End-to-end analysis of urban bike share usage patterns, station performance, and demand forecasting to support operational decisions.
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Python · API Pipeline Automation
An automated, fault-tolerant data pipeline ingesting daily data via the CoinGecko API. Idempotent ingestion, a durable retry queue for API failures, GitHub Actions execution and a live Streamlit dashboard.
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Python · ML · M.Sc. Thesis
M.Sc. thesis investigating the relationship between ESG factors, non-financial data, and financial health via correlation analysis, autoregression, and time series forecasting.
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Tableau · Business
Sales performance, regional breakdowns, and profitability analysis across product categories built in Tableau with drill-down capability.
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Tableau · Data Viz
Exploratory analysis and visualization of Pokemon base statistics, type distributions, and generational trends built in Tableau.
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A data and operations analyst with a multi-industry background turning complex, messy data into clear decisions. My work sits at the intersection of analytics, operational improvement, and reporting, and I'm especially drawn to roles where data has real-world stakes, whether that's ESG and sustainability, financial performance, or operational efficiency.
With over a decade of professional experience spanning business, operations, and a deliberate career transition into analytics, I bring both the domain breadth and the technical depth to work across the full picture. I'm especially interested in how data can support sustainability and ESG-related thinking, and am a strong advocate for incentivizing capitalism to do the heavy lifting for a sustainability future for everyone.
On the technical side, I work across the full analytics stack: Python (pandas, numpy, scikit-learn, matplotlib, seaborn), SQL, Power BI, Tableau, Microsoft Fabric, and GitHub-based automation pipelines. My M.Sc. thesis in Business Analytics investigated the relationship between ESG factors, non-financial data, and financial health in a multi-stage Python modeling pipeline combining correlation analysis, iterative autoregression, and time series forecasting using Factset and Google Trends API data. Independent ML projects covering classification and regression models are publicly available on my GitHub, alongside other portfolio work.
Outside work, I'm usually somewhere in nature, deep in high fantasy, or pondering over questions big and small. At heart, I'm motivated by work that helps people make better decisions and creates meaningful impact.
Open to data analyst, operations analyst, business analyst, and ESG/sustainability analyst roles in Ireland and remote.