From Data to Strategy

I build quantitative systems that drive decisions — from Monte Carlo risk models that size investment positions to ML pipelines that predict customer churn with 0.89 AUC. My work has spanned corporate valuation, demand forecasting, and market segmentation across industries from retail to semiconductors.

My background bridges Business Administration and engineering, which means I don’t just build models — I translate them into board-ready recommendations. Every project in this portfolio includes both the technical rigor and the strategic narrative that stakeholders need to act.

I focus on delivering end-to-end solutions: from data architecture and feature engineering through modeling, visualization, and deployment. My goal is simple: apply analytical depth and business acumen to solve real-world problems and help organizations grow smarter, faster, and more efficiently.