juicecogens

I'm an actuarial science student with a strong foundation in data processing, pricing analytics, and quantitative modeling. I’ve worked extensively with large-scale datasets—streamlining inputs of up to tens of millions of rows while preserving key features for downstream analysis. Using Python, R, and SAS, I build dynamic models and pricing tools that support informed, data-driven decisions. My experience also includes developing visual dashboards with Tableau and PowerBI to surface profitability insights. I'm excited to apply these technical and analytical skills to the evolving challenges in the Web3 space, especially in areas like tokenomics, risk modeling, and decentralized finance.