Marcio S.Data Scientist
Skills
With a robust academic background and extensive post-doctoral experience at the intersection of biology and technology, this candidate currently contributes to innovative projects at Tulane University, USA, utilizing neural networks to enhance the world's largest fish image database for AI applications. Previous tenure at EMBL-EBI in the UK included the development of Python applications that revolutionized biological signal interpretation through machine learning and computer vision for analyzing cardiac rhythms and caudal movements. Experience at the National Institute for Amazonian Research in Brazil established a foundational expertise in scientific research, focusing on advanced technologies for analyzing captive animal behavior. Proficient in technologies such as Python, OpenCV, Scikit-learn, and TensorFlow, combined with a strong command of algorithms and data structures, positions this candidate to adeptly tackle complex challenges in the fields of data science and biology.
Data Scientist
3/1/2024 - Present
In this role, I apply advanced programming skills in Python, utilizing data structures and algorithms to analyze images and implement various techniques in machine learning, including supervised and unsupervised learning. I'm involved in deep learning, data mining, and neural networks, focusing on generative models to enhance applications in artificial intelligence.Data Scientist
2/1/2021 - 2/1/2024
This position involved developing Python applications and leveraging cloud computing for big data analysis. I created image processing pipelines and utilized advanced machine learning techniques, including generative models and predictive modeling, to transform biological signal interpretation, contributing significantly to data-driven research.Biology Researcher
1/1/2016 - 1/1/2020
I focused on scientific research involving laboratory analyses and physiological monitoring of animals. Duties included sensor installation, data collection and manipulation, as well as advanced statistical analysis and machine learning applications, utilizing programming tools to support biological research methodologies.
Bachelor's Degree in Data Science at Estácio College
2024 - 2026Biology at National Institute for Amazonian Research
2011 - 2015Biology at National Institute for Amazonian Research
2004 - 2006Biology at Araraquara University Center
1999 - 2003
Data Scientist at Tulane University
2/1/2021Data Scientist at European Molecular Biology Institute
2/1/2021Researcher in Biology at Instituto Nacional de Pesquisas da Amazônia
1/1/2016
Marcio is available for hire
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