Paulo Buchsbaum is a multidisciplinary business consultant, data scientist and educator based in Rio de Janeiro with over three decades of applied experience and eight years focused in his current consultancy and entrepreneurship roles. He blends quantitative analysis (statistics, ML, operations research) with hands-on business functions—management, finance, logistics, marketing—and builds practical BI solutions using tools like Excel and PowerBI. As a co-founder of Great Solutions and Mundiglobal he advises corporate clients, runs workshops and courses, and supports ML projects with Analytikus while contributing to TensorFlow-related work with François Chollet. His open-source contributions include deep improvements to mathjs’s symbolic simplification, showing a knack for precise algorithmic refactoring that bridges research and production. An experienced author and professor, Paulo uniquely combines academic rigor (MSc in Informatics) with commercial product importation and sales experience, often acting as an external executive coach to sharpen strategic decision-making and group dynamics.
An extensive math library for JavaScript and Node.js
Role in this project:
Back-end Developer
Contributions:5 commits, 4 PRs, 65 comments in 8 months
Contributions summary:Paulo primarily focused on enhancing the `rationalize` function within the `mathjs` library. Their work involved refactoring code, fixing bugs related to decimal coefficients and negative exponents, and introducing new features to improve the simplification of mathematical expressions. The user also modified the core simplification engine and implemented new rules for expression transformation. These changes aimed at improving the library's ability to handle and simplify complex algebraic expressions.
An extensive math library for JavaScript and Node.js
Contributions:4 PRs, 119 pushes, 4 branches in 11 months
mathnode-jsmathematicsjavascriptmath-library
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