I have a unique background that combines deep training in Data Science and Engineering with expert knowledge in Clinical Psychology, Nutrition, and Health Sciences. My passion is to build complex technological solutions that are not only robust and scalable but are also intrinsically informed by a scientific understanding of human behavior, cognition, and well-being.
My work focuses on translating complex business and health problems into structured data projects, from strategic conception (using frameworks like CRISP-DM ) to the implementation of Machine Learning models and the communication of actionable insights.
These are the projects that best represent my techno-human profile:
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An end-to-end ML model that applies my knowledge in psychopathology to predict the risk of ASD. A direct fusion of Psychology and Data Science. |
A methodological blueprint that demonstrates my ability to strategically design complex data solutions, including ethical considerations and bias mitigation. |
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A project that uses unsupervised clustering to segment patient profiles, applying health and nutrition knowledge for clinically relevant feature engineering. |
Demonstrates my versatility by applying clustering techniques (used in health) to solve a business problem, translating a business need into an actionable data solution. |