Senior Statistician & Quantitative Researcher
My work bridges advanced mathematical theory with practical computing to engineer high-impact quantitative models for complex corporate operations. Holding a PhD in Statistics, my core expertise focuses heavily on stochastic modeling, computational statistics, financial econometrics, statistical process monitoring, and sustainable finance (including green bonds) specifically in high-stakes environments that demand predictive precision and risk management.
As part of the INESIS team, I specialize in designing and optimizing sophisticated statistical frameworks tailored to complex business and financial challenges. Driven by technical excellence, I also lead our corporate training initiatives, running specialized workshops to upskill client teams and guiding organizations on how to seamlessly integrate advanced quantitative models into their daily strategic workflows.