Hi, I’m Daniel
Welcome! I’m Daniel Precioso, a Data Scientist with a PhD in Machine Learning and more than X years of experience turning data into real-world solutions. I focus on applied AI, optimization, and analytics. My projects span healthcare, energy, insurance, and the spaces where science meets decision-making.
My career bridges academic research and industry practice. I’ve built forecasting tools, decision systems, and machine learning models that don’t just work in notebooks: they’re used by real teams to solve real problems. As COO of a climate-tech startup, I led our data strategy and secured €93K in competitive funding from Missions València 2030. Our solution was ranked top by the jury.
Along the way, I’ve pitched ideas at high-level forums, including the European Parliament, helping raise visibility and trust in data-driven innovation.
One of the projects I’m proudest of? Building the “Google Maps for the Sea”: a weather-optimized routing system for ships that cuts fuel use and reduces GHG emissions, without retrofitting a single vessel.
I also teach. At the university, I mentor students in programming and AI literacy, and experiment with new tools like ChatGPT to help learners think more clearly, not just code faster.
If you’re interested in data-driven decision-making, applied AI, or collaborations at the edge of science and society, feel free to explore my papers and posts. Let’s build something useful!
