Felipe ávila Cárcamo
About Felipe ávila Cárcamo
Felipe Ávila Cárcamo is a Senior Data Scientist with a Master's degree in Science from Universidad Técnica Federico Santa María. He has extensive experience in IIoT projects and has held positions at companies such as SKF Group, Honeywell, and Glencore, focusing on machine learning applications in the mining and airline industries.
Work at Glencore
Felipe Ávila Cárcamo has been serving as a Senior Data Scientist at Glencore since 2021. In this role, he applies his expertise in data science to enhance operational efficiency and decision-making processes within the company. His work involves the integration of advanced data analytics techniques, particularly in the context of the mining industry.
Education and Expertise
Felipe studied at Universidad Técnica Federico Santa María, where he earned a Master of Science in Ciencias de la Ingenieria Electronica from 2016 to 2018. He also completed a Diplomatura in Data Science from 2020 to 2021. His academic background includes a degree in Ingenieria Civil Electrónica, which he obtained from 2011 to 2018. His education has equipped him with a strong foundation in engineering and data science.
Background
Felipe has a diverse professional background in data science and engineering. He began his career as a Tesista/Investigador FONDECYT at Universidad Técnica Federico Santa María from 2017 to 2018. He then worked at SKF Group as Ingeniero de Prognosis from 2018 to 2019, followed by a role at LATAM Airlines as Senior Data Scientist from 2019 to 2020. He also held a position at Honeywell as Ingeniero de aplicaciones Avanzadas from 2020 to 2021.
Achievements
Felipe has significant experience in integrating and leading teams in Industrial Internet of Things (IIoT) projects. He has applied Machine Learning and Deep Learning techniques to various objectives in the mining industry. Additionally, he has worked on customer segmentation projects in the airline market, utilizing advanced data science techniques to drive insights and improve business outcomes.
Research Experience
Felipe has academic research experience in mathematical modeling algorithms for system identification. This research has contributed to his understanding of complex systems and enhanced his ability to apply data science techniques in practical scenarios.