María Camila Castaño Martínez

Data Scientist at i-APS

María Camila Castaño Martínez is a physics engineer with an emphasis on artificial intelligence and model development, with experience in data analysis, machine learning, and data visualization. She has worked on research projects in universities and innovation groups, applying deep learning models for medical data analysis and disease prediction.
Currently, she works as a Data Scientist at i-APS, where she provides technical support in data storage, mining, and cleansing, develops analysis and visualization tools, and designs models to assess the performance of various activities. Additionally, she collaborates on the integration of analytical systems for the KAPinsights platform, ensuring compliance with regulations and optimizing processes through predictive models and advanced data analysis.
She has also worked as an analyst in supply chain projects, developing humanitarian-focused tools to improve the accuracy of results for organizations such as JSI, UNICEF, and WFP. Furthermore, she collaborates with the KAP Tech team in the enhancement and updating of their analytical and technological tools, contributing to the development of innovative solutions for data-driven decision-making.