Data Scientist | MSc Metallurgical Engineering | Applied AI and Simulation Specialist
I'm a Metallurgical Engineer from Instituto Federal do Espírito Santo, who works with computational modeling of real world systems. There i also completed my MSc in the same field. Currently, I'm a student of Computer Science on Uniamérica/Descomplica where I intend to further improve and complete my skills on the Field.
Important
Most of my professional work is confidential, on closed sources outside GitHub. Here you'll find only some personal, educational and academic projects.
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| Spoken Languages | English 🇺🇸 Portuguese 🇧🇷 |
French 🇫🇷 German 🇩🇪 |
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| Machine Learning | |
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| Databases | |
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| Embedded and sensoring | |
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| Cloud | |
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| Systems | |
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| Others | |
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I've extensive experience with several types of systems and processes. Below follows a list of the most relevant techniques I have worked with:
- Data Science:
- ETL/ELT pipelines:
- Extraction: sensor development and prototyping, distributed data collection...
- Data Processing: signal processing, data fusion, advanced analysis...
- Loading: usage of automated pipelines with schedules procedures and crawlers on AWS.
- Exploratory analysis: relational and non-relational databases, datalakes...
- ETL/ELT pipelines:
- Computational Modeling
- Data driven approaches:
- Machine Learning: supervised, unsupervised and reinforcement learning models applied in several domain types.
- Traditional Techniques: statistical analysis, multivariate nonlinear regressions...
- Process based approaches:
- Computer Aided Engineering (CAE) - Bootstrap: Finite Difference Method (FDM), Finite Volume Method (FVM), Finite Element Method (FEM), Discrete Element Method (DEM), Boundary Element Method (BEM).
- Digital Twin Systems
- Metamodeling:
- Physics informed ML models.
- Chemical informed ML models.
- Phisicochemicaly informed ML models.
- Data driven approaches: