Milcah
Mary
Joseph

I'm 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.

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 using a multi-stage Python modeling pipeline combining correlation analysis, iterative autoregression, and time series forecasting. I built and evaluated the models in Jupyter Notebook using Factset and Google Trends API data.

I believe data has the most value when it is made accessible, meaningful, and actionable, and I'm a strong advocate for using market mechanisms and clear information to drive sustainability outcomes. That conviction runs through both my professional work and my personal interest in ESG research.

Outside work, I'm usually somewhere in nature, deep in a high fantasy novel, or thinking through big questions. 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 Dublin and remote. Always happy to connect.