Saif Sayed

Background

About Saif Sayed

I don’t just analyze numbers—I decode the economics behind human decisions. With an MSc in Economics & Policy from King’s College London (Distinction, Best Dissertation), I specialize in translating complex econometric research into actionable policy. My work lives at the intersection of Bayesian modeling, behavioral economics, and data visualization—whether forecasting public sentiment, optimizing tax policy, or designing experiments that reveal the hidden levers of civic behavior. My journey began not in the halls of academia, but in the slums of India. I founded an education initiative that’s helped 50+ underprivileged children access literacy and soft skills—and led a COVID vaccination campaign that delivered 500+ doses during peak shortages. This hands-on impact drives my data work today: I believe policy should be as empathetic as it is evidence-based. At King’s, I’ve worked on cutting-edge research funded by the European Research Council, helping shape discourse around digital democracy. At Ethos Lab, I led regression discontinuity analyses on US immigration and tax behavior. I bring fluency in Python, R, Stata, and SQL—and a sharp eye for visual storytelling using Power BI, Tableau, and ggplot2. I'm certified in Applied Machine Learning, AWS Data Analytics, and SQL for Analysis. I thrive on building rigorous models and equally rigorous narratives—whether advising NGOs or exploring decision theory through the lens of martial arts (I practice Brazilian Jiu-Jitsu). Trusted by professors, policy labs, and grassroots leaders alike, I bridge worlds: from boardroom dashboards to boots-on-ground initiatives. Let’s talk econometrics, policy innovation, or how to make data not just informative—but transformative.