Victor
Vaquero Soto

Víctor Vaquero Soto is a Senior Data Scientist specializing in advanced analytics, time series forecasting, and scalable data solutions. At Repsol, he develops forecasting libraries for low-code platforms, enabling rapid deployment of predictive models across industrial and energy systems.

He holds a Ph.D. in Physics, focused on nuclear and particle physics, where he applied Big Data techniques to large experimental datasets. His background combines research and industry experience to turn complex data into actionable insights.

Passionate about AI and data engineering, he builds tools that bridge research and real-world applications, and explores how generative AI can make advanced solutions more accessible.