Marcos Rocha
Developer at Performa_IT- Claim this Profile
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Inglês Professional working proficiency
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Português Native or bilingual proficiency
Topline Score
Bio
Credentials
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Data Scientist with Python Track
DataCampSep, 2019- Nov, 2024 -
Python Programmer Track
DataCampJun, 2019- Nov, 2024
Experience
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Performa_IT
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Brazil
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IT Services and IT Consulting
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100 - 200 Employee
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Developer
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Feb 2020 - Present
Back end Frameworks - C# (.NET) - Database - SQL - Python - Agile - Scrum Back end Frameworks - C# (.NET) - Database - SQL - Python - Agile - Scrum
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Universidade de São Paulo
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Brazil
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Higher Education
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700 & Above Employee
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Undergraduate Education Stimulus Program (PEEG)
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Aug 2018 - Jan 2020
- Development of analytical skills in Data Science.- Application of machine learning algorithms in agriculture.- Monitor in Experimental Statistics discipline.- Design and analysis of experiments using programming language.- Participation in practical teaching of R and Python language for undergraduate students.- Monitoring and guidance of students in the discipline. - Development of analytical skills in Data Science.- Application of machine learning algorithms in agriculture.- Monitor in Experimental Statistics discipline.- Design and analysis of experiments using programming language.- Participation in practical teaching of R and Python language for undergraduate students.- Monitoring and guidance of students in the discipline.
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Escola Superior de Agricultura "Luiz de Queiroz"
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Brazil
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Higher Education
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300 - 400 Employee
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Research Development Internship
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Mar 2018 - Aug 2019
- Development of algorithms for precision irrigation with Google Earth Engine.- Analysis of geospatial data.- Modeling evapotranspiration- Generation of vegetation index maps- The objective of this research was to verify the efficiency of the Google Earth Engine technology for water management in agriculture.- Presentation at the 27th USP International Scientific and Technological Initiation Symposium (SIICUSP - 2019). - Development of algorithms for precision irrigation with Google Earth Engine.- Analysis of geospatial data.- Modeling evapotranspiration- Generation of vegetation index maps- The objective of this research was to verify the efficiency of the Google Earth Engine technology for water management in agriculture.- Presentation at the 27th USP International Scientific and Technological Initiation Symposium (SIICUSP - 2019).
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Education
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University of Sao Paulo
Master's Degree, Agricultural Systems -
University of Sao Paulo
Bachelor's degree, Agronomic Engineering