I specialize in implementing machine learning algorithms that solve complex, practical problems. My approach is grounded in rigorous statistical training, ensuring that models are not just high-performing, but fully interpretable through correct featurization. Currently, I am focused on developing the KMDS (Knowledge-based Machine Learning Data Science) tool—a platform designed for skilled data scientists to streamline observations, cleaning, and modeling into a unified pipeline. My goal is to work with mature AI markets in Europe and the US, providing remote expert consulting for supply chain and ERP companies ready for serious data maturity.