Carlos possesses over eight years of experience in data science and scientific computing. He is a specialist in software development, machine learning, simulation, optimization, and uncertainty quantification. Carlos takes pleasure in uncovering insights within data, which can then be utilized
Experience
Carlos, as the Lead Data Scientist at ¹ú²ú͵ÅÄ×ÔÅÄ Digital Engineering, is tasked with spearheading the growth of the data science consulting services. He has a rich background in delivering bespoke solutions to intricate R&D challenges, primarily focusing on machine learning, software development, numerical simulation tools, and data acquisition. His notable contributions include:
Stochastic discrete event simulation of mining systems dynamics.
Semantic knowledge graph representation of business data.
Development of both desktop and web applications.
Design of experiments.
Baking modeling optimization.
Before joining ¹ú²ú͵ÅÄ×ÔÅÄ Digital Engineering, Carlos worked for a world-leading gas turbine company as a Combustion Aerothermal Researcher. There, he established new best practices for statistically quantifying and predicting combustion rumble from scarce test data, significantly contributing to the economical design of future low-emission aircraft engines.