Sole data scientist at a startup specializing in Machine Learning-based targeting services for Mineral Exploration. Using Geological, Geophysical and Geochemical data to predict ore grades and assess prospectivity of properties.I led the area that focuses on the generation of predictions of mineral ore content on several client projects, with deposits of different metals such as iron, copper, silver and gold. I contributed in a novel interpretation of geoscientific data, generating new exploration targets and prioritizing client properties.I collaborated closely with geologists to improve the interpretation of geoscience data. This involved correcting and optimizing data usage, leading to improvements in study analyses and the generation of more accurate predictions. Additionally, I refined the process of drawing conclusions from algorithms by implementing new methods for model validation in geospatial problems. Furthermore, I supported the enhancement of storytelling techniques when presenting results to clients, thereby instilling greater confidence in the delivered product.I developed a user-friendly machine learning model that not only achieved problem generalization but also enabled the team's geologists, who lacked prior Machine Learning knowledge, to independently make predictions. This significantly boosted efficiency and empowered the team.I conducted extensive research to identify innovative solutions to customer challenges, constantly presenting new ideas to the team for product development and improvement, working with different areas within the company.I played a key role in increasing product precision and accuracy. Additionally, I proposed the implementation of new features to add value to the product, in order to increase customer interest, satisfaction and stickiness.

Utilicé diferentes métodos de Machine Learning para predecir los ingresos de las personas y la tasa de pobreza relativa en España. Busqué identificar cuál era el mejor algoritmo para este objetivo.Limpieza de datos, análisis, feature selection y técnicas de modelado fueron usadas para interpretar los puntos claves de los datos recolectados.

Hice análisis de datos y visualizaciones para las áreas de B2C y de Marketing de la empresa. Generé insights de los clientes y del negocio con el fin de hacer decisiones basadas en los datos.Asistí en la implementación de algoritmos de predicción del comportamiento de clientes.Hice web scraping para ganar conocimiento de los agentes comerciales.

Hice reportes económicos y análisis de datos en temas relacionados con una investigación del sistema de salud chileno.Trabajo en el mandato presidencial de "Eficiencia en pabellones y priorización de pacientes para cirugía electiva"