CV
Education
- 2014 - 2018 - Bachelor’s Degree, Chemical Engineering, PUC-Campinas, Campinas, São Paulo, Brazil
- 2007 - 2013 - High School, American School of Campinas, Campinas, São Paulo, Brazil
Work experience
- Feb 2019 - Dec 2023 (Interrupted) PhD Researcher in Bioenergy, Brazilian Biorrenewables National Laboratory (LNBR/CNPEM) and FEA/Unicamp. Campinas, São Paulo, Brazil
- Calculated mass and energy balances of biorefinery industrial processes with the aid of process simulations
- Evaluated possibilities to reduce energy and water consumption in biorefinery processes with mathematical optimization
- Participated in conferences and talks to communicate findings
- Feb 2017 - Dec 2018 - Intern at the Brazilian Biorrenewables National Laboratory (LNBR/CNPEM) in the Biorefinery & Natural Resources Group
- Simulated biorefinery processes in open-source process simulator DWSIM
- Developed an Excel Spreadsheet and VBA modules to carry out energy and mass balance calculations of biorefinery processes
Languages
- English - Native Proficiency
- Brazilian Portuguese - Native Proficiency
- Spanish - Native Proficiency
Skills
- Python
- Aspen Plus
- Excel
- VBA
- Power BI
- Mathematical optimization
- Microsoft Office (word, powerpoint, etc)
Volunteering
- 2016 - 2021- Volunteer English Teacher at Cidadão Pró-Mundo NGO
- Responsibilities included planning, teaching and tutoring two students each semester
- 2017 and 2019 - Volunteer at “Ciência Aberta” event
- Present and engage the general public in activities related to science
- 2014 - 2016 - Volunteer Audiovisual Translator at Khan Academy
- Responsibilities included translating, subtitling, and revising the platform’s videos
Courses
- 2024 - Modelando Dados no Power BI (11 hours) - Fundação Bradesco e Microsoft
- 2024 - Preparando Dados para Análise no Power BI (7 hours) - Fundação Bradesco e Microsoft
- 2023 - Fitting Statistical Models to Data with Python (15 hours) - University of Michigan (on Coursera)
- 2023 - Understanding and Visualizing Data with Python (19 hours) - University of Michigan (on Coursera)
- 2022 - Introduction to Machine Learning (21 hours) - Duke University (on Coursera)
- 2022 - Mathematics for Machine Learning Integrated Courses (60 hours) - Imperial College London (on Coursera)
- 2022 - Data Science Math Skills (13 hours) - Duke University (on Coursera)
