Miguel V.

I am a highly quantitative Economics researcher and financial analyst with a unique blend of rigorous academic research and corporate FP&A experience. Currently ranking #2 in my BSc Economics cohort at IE University, I specialize in complex financial modeling, macroeconomic analysis, and advanced data visualization. Alongside my professional contracting work, I am actively co-authoring an undergraduate textbook on mathematical optimization and collaborating on political game theory models for publication. Whether I am running deep-dive variance analyses or modeling cross-border FX data, I know how to turn raw numbers into high-level, actionable insights. Core Expertise: ⚬ Financial & Macro Analysis: 3-Statement Modeling, DCF, Variance Analysis, GDP & CPI tracking. ⚬ Quantitative Research: Game theory modeling, optimization constraints, and feasibility regions. ⚬ Tech Stack: Advanced Excel, PowerBI, Python, R, and LaTeX (including TikZ for vector diagrams). Recent Professional & Academic Highlights: ⚬ Clarks (FP&A Intern): Managed weekly/monthly reporting and resolved data discrepancies across complex financial models. ⚬ Academic Research (IE University): Co-authoring a textbook on "Mathematical Format of a Program"; preparing a manuscript on multi-level election polarization for the AJPS. ⚬ WISE Payments (Contractor): Independently logged and verified cross-border FX rates across European banks. ⚬ Universidad Pedagógica: Conducted post-pandemic El Salvador macroeconomic analysis for senior faculty briefings.