Jonathan Motta Email & Phone Number

Rio De Janeiro, Brazil

Rio De Janeiro, Rio De Janeiro, Brazil

Activities:• Efficient communication of complex technical ideas to multidisciplinary teams;• Manipulation and analysis of large data sets using renowned packages (pandas, numpy, etc.) in Python;• Development and implementation of machine learning models;• Front-end and back-end development using JavaScript, HTML, CSS, and React.js, integrated with PostgreSQL databases, and others using SQLite;• Proficiency in a variety of tools, including DWSIM, Microsoft Office (Excel, Word), and VBA (Visual Basic for Applications).

Rio De Janeiro, Rio De Janeiro, Brazil

"Desidratação de gás natural por adsorção — avaliação de propriedades e condições de operação."Supervised by Professor Amaro Gomes Barreto Jr. from DEQ/EQ/UFRJ (Petrobras scholarship holder).Activities:• Process simulation in Aspen HYSYS;• Bibliographic review of scientific articles;• Integration of Aspen HYSYS with Python through Windows libraries;• Development of GUI and data separation using Excel VBA integrated with Python.This project, requested by Petrobras, was conducted at the ATOMS laboratory (Applied Thermodynamics And Molecular Simulation) located at UFRJ. It involved the use of the chemical process simulator Aspen HYSYS, supported by the programming languages Python and Excel VBA, for simulating the adsorption of natural gas through molecular sieves.

Rio De Janeiro, Rio De Janeiro, Brazil

"Simulação de processo de desidratação de gás natural com alta concentração de dióxido de carbono por absorção com trietilenoglicol."Supervised by Professor Amaro Gomes Barreto Jr. from DEQ/EQ/UFRJ (Petrobras scholarship holder).Activities:• Process simulation in Aspen HYSYS;• Bibliographic review of scientific articles;• Integration of Aspen HYSYS with Python using Windows libraries;• Development of GUI and data separation through Excel VBA integrated with Python.Project requested by Petrobras and conducted in the ATOMS laboratory (Applied Thermodynamics And Molecular Simulation) at UFRJ. It focused on using the chemical process simulator Aspen HYSYS, assisted by the programming languages Python and Excel VBA, for simulating the absorption of natural gas by triethylene glycol.

Rio De Janeiro, Rio De Janeiro, Brazil

"Avaliação da capacidade preditiva da equação de estado sigma-MTC na descrição do equilíbrio líquido-vapor em sistemas a alta pressão."Supervised by Professor Cauê Costa from the IQ/UFF (FAPERJ scholarship holder).Activities:• Optimization of algorithms made in Matlab;• Bibliographic review of scientific articles;• Integration of the Matlab algorithms with Python for specific tasks;• Optimization of data scrapping and data post-processing in Python.This is a continuation of a project approved by FAPERJ, conducted in the MolMod-CS laboratory (Molecular Modelling and Computer Simulation) at UFF. It focuses on using the programming languages Matlab and Python to evaluate the predictive capacity of the sigma-MTC equation of state in binary systems at high pressure.