Mark Jayson Martinez Farol
My Foundation: The Quantitative Economist
My name is Mark Jayson Farol. I am a quantitative economist with a Master of Arts in Quantitative Business Economics. My training covers economic analysis, causal inference, and the tools to understand not just what the data shows, but why.
I think in structural models. I test my own intuition against evidence and try to make sure any pattern I identify is real and worth acting on, not just statistical noise.
The Engine: Data Engineering & Statistical Programming
Complex economic questions rarely come with clean data. I have spent a lot of time working with large, disorganized administrative datasets and building the infrastructure needed to make causal analysis possible.
Getting the data ready requires both statistical programming and data architecture skills. I build ETL pipelines in Python, SQL, and related tools that are provenance-safe and reproducible before a single econometric model runs. I build the pipeline that makes the analysis possible, not just the analysis itself.
The Interdisciplinary Mindset
I have always been drawn to the places where human behavior, incentive structures, and measurable data intersect. That curiosity pushed me toward economics before I had the language to explain why.
I chose economics because it gave me a rigorous framework for studying decisions, not just describing them. My background in mathematics and programming sharpened that further.
Leadership and Translation
Technical sophistication matters less if the results cannot be explained to the people who need to act on them. I have spent years in front of students, faculty, and non-specialist audiences translating economic findings into something usable — whether that meant simplifying a regression result or rewriting a methods section for a policy audience.
Teaching reinforces that. I work with students on drawing valid economic inferences, evaluating their findings critically, and knowing when a result is worth building on.
What Lies Ahead
Right now I am focused on applying these tools in business contexts, especially in analytics, financial economics, and strategy. I want roles where the quantitative work is rigorous and the results actually shape decisions.
