Alejandro Weinstein
Director De Mercadotecnia at Prontometal S.A.
Montevideo, Montevideo, Uruguay
Summary
👤
Senior🎓
Top SchoolAlejandro Weinstein is a seasoned market research and marketing director with over three decades leading quantitative and qualitative projects at CIM & ASOCIADOS. Trained as a psychologist and senior researcher, he combines deep consumer-behavior insight with practical market strategy, having also taught undergraduate and postgraduate courses at multiple Uruguayan universities. His career spans commercial leadership (including long tenure as commercial manager at Oceano FM) and ongoing external consulting, reflecting strong client-facing and operational experience. Unusually for a market researcher, he contributes to scientific open-source Python projects (networkx, nipype, mne-python), improving graph algorithms and neuroimaging tooling—an indication of analytical rigor and technical fluency. He studied psychology at Universidad Católica del Uruguay and pursued specialization at the University of Georgia, blending academic grounding with applied research. Alejandro’s profile merges behavioral science, teaching, and hands-on technical problem solving to drive insight-led marketing decisions.
15 years of coding experience
Licenciatura en Psicología, Licenciatura en Psicología at Universidad Católica del Uruguay (UCUDAL)
Github Skills (25)
graph-algorithms10
visualization10
python10
graph-analysis10
numpy10
neuroimaging10
complex-networks10
visualizations10
linear-algebra10
graph-theory10
testing9
ec9
n9
el9
ceph9
Programming languages (6)
Github contributions (5)
mne-tools/mne-python
Aug 2017 - Jun 2020
MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python
Role in this project:
Software Developer (focus on scientific software and visualization)
Software Developer (focus on scientific software and visualization)Contributions:6 commits, 6 PRs, 29 comments in 2 years 10 months
Contributions summary:Alejandro made several contributions focused on improving the MNE-Python library. They fixed a bug in the x-axis labels of the plotting functions for source visualizations. They added new parameters and refined the existing functionality of the `plot_raw_psd` function, including improvements to the documentation, handling of edge cases, and updating the visual appearance. Further, they also modified the docstrings of several classes for improved readability and clarity.
visualizationneuroimagingneurosciencepythonstatistics
networkx/networkx
Jul 2012 - Jan 2013
Network Analysis in Python
Role in this project:Back-end Developer
Back-end DeveloperContributions:27 commits, 1 comment in 5 months
Contributions summary:Alejandro contributed significantly to the `networkx/networkx` repository, focusing on improvements to the graph algorithms and related mathematical functionalities. Their work involved fixing issues in the normalized Laplacian matrix calculations, specifically addressing self-loops and multigraphs. They also added a directed Laplacian matrix, enhancing the library's capabilities for directed graph analysis, along with tests and fixes.
graph-analysispythoncomplex-networksgraph-theorygraph-visualization
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