I combine a robust background in economics and public policy with advanced technical expertise in data science and modeling, enriched by significant international exposure from living, studying, and working in Europe and the USA. I hold a master's degree in Economics from Sciences Po, Europe’s leading economics and political science university, where I graduated as a Fulbright Scholar, and a bachelor's degree in Economics and International and Area Studies (double major) from the University of Pittsburgh's Honors College.Throughout my career, I have applied my technical skills with an intersectional lens to drive forward-thinking, evidence-based, and impactful projects addressing today's most pressing issues. Recently, I led the development of a comprehensive green workforce transformation dashboard at Jobs for the Future (JFF), which has gained national visibility and is shaping sustainable and equitable labor market strategies across the US. I am also developing a tool to identify how (and which) jobs will transform due to AI. For my Master's Thesis, I integrated social psychology concepts into a standard macroeconomic model to better represent individual behavior during economic shocks, a novel idea published in a University of Oxford review.My professional journey is driven by a central aim: to improve quality of life in the global community, especially for those most vulnerable. I am passionate about applying data-driven insights to foster social impact, climate resilience, and equitable economic growth. As I advance in my career, I look forward to collaborating with innovative organisations and thought leaders to create resilient and inclusive solutions for complex global challenges.