I am an experienced researcher with an extensive track record in turning complex and disorganized data into clear, actionable insights. My approach is transferable to various industrial sectors: I leverage scientific rigor and advanced Data Science to optimize processes, predict trends, and uncover hidden realities behind data noise.
Transversal Value & Strategic Impact
Cross-Industry Versatility: I bridge the gap between complex technical data and clear business strategies, applicable to sectors ranging from FoodTech, Pharma to Cosmetic industry.
Translation of Complexity: Experienced at taking raw, “noisy” data—whether from laboratories, industrial sensors, or global markets—and converting it into scalable solutions.
Predictive & Product Mindset: I specialize in managing inefficiencies and designing models that don’t just analyze the past, but prescribe the next strategic move.
Standardizing Phytochemical Recovery through Predictive Modeling.
This project showcases the application of Response Surface Methodology (RSM) to optimize the extraction of Aloesin from Aloe vera crop by-products. It transforms experimental data into an interactive decision-making tool.