Andressa Marçal
Data Specialist
Paraíba, Brazil
Summary
👤
Senior🎓
Top SchoolAndressa Marçal is a Data Specialist with a decade of hands-on experience building ML and data platforms across fintech and cloud environments, currently shaping data workstreams at Marvin. She blends production MLOps, ETL/ELT and cloud engineering (AWS, GCP, Spark, Databricks) with a strong background in model development and credit-risk systems from roles at will bank, Boa Vista and Portocred. An active community builder and co-founder of PyLadies Paraíba and Django Girls João Pessoa, she champions tech education and inclusive developer communities. Andressa contributes to open-source ML tooling—adding regularization to the high-performance ranger random-forest library—demonstrating both low-level C++/R chops and practical model-improvement intuition. Academically grounded in AI and ethical ML (Master’s studies) and certified across testing, DevOps and process disciplines, she combines rigorous engineering with a focus on fairness and operational reliability.
10 years of coding experience
6 years of employment as a software developer
Specialization - AI for Medicine, Inteligência Artificial, Specialization - AI for Medicine, Inteligência Artificial at CourseraNanodegre, Deep Learning, Nanodegre, Deep Learning at UdacityBachelor of Computer Science, Information Technology, Bachelor of Computer Science, Information Technology at Centro Universitário de João PessoaThe Pontifical Catholic University of Minas GeraisSpecialization - Applied Data Science with Python, Data Science, Specialization - Applied Data Science with Python, Data Science at University of MichiganMaster's Student in Computer Science, Artificial Inteligence, Ethical AI, Bias, Fairness, Master's Student in Computer Science, Artificial Inteligence, Ethical AI, Bias, Fairness at Universidade Estadual de CampinasPostgraduate in Teaching in Information Science and Technology, Postgraduate in Teaching in Information Science and Technology at Instituto Brasileiro de Formação - IBF PósBachelor in Information Systems, Bachelor in Information Systems at Facisa - Faculdade de Ciências Sociais e AplicadasComputer Technician, Informatics, Computer Technician, Informatics at Instituto Federal de Educação, Ciência e Tecnologia da Paraíba
Portuguese, English
Stackoverflow
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Github Skills (9)
algorithms10
machine-learning10
c-language10
cprogramming-language10
random-forest10
regularization10
r10
data-structure9
data-structures9
Programming languages (11)
Github contributions (5)
imbs-hl/ranger
Nov 2019 - Dec 2019
A Fast Implementation of Random Forests
Role in this project:
Back-end Developer
Back-end DeveloperContributions:8 commits, 2 PRs, 8 comments in 23 days
Contributions summary:Andressa primarily focused on enhancing the `ranger` library, a fast implementation of Random Forests. They introduced and implemented regularization parameters within the core C++ and R code of the library, which likely improves model performance. These changes involved modifying critical functions and integrating these parameters across multiple source files, including both the core logic and the R interface. The user also ensured the appropriate handling of these parameters during both classification and regression tasks.
random-forest
brunaw/brunaw.github.io
Jun 2018 - May 2020
Contributions:163 pushes, 1 branch in 1 year 11 months
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