Buenos Aires, Autonomous City of Buenos Aires, Argentina
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Summary
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Senior
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Top School
Agustín Benassi is a data and technology consultant and former Public Data Director at Argentina’s Secretariat of Modernisation, with 11 years of experience building open data infrastructure and data products for government. An economist turned Python developer, he designs and enforces data standards, architects PostgreSQL/PostGIS-backed systems, and leads cross-functional teams to publish and manage public data assets. He combines hands-on engineering—contributions range from refactoring a Google Search Python package to cleaning notebooks for data science courses—with product management and Agile delivery. Comfortable across ElasticSearch, AWS, and spatial analytics, he bridges policy, technical governance, and implementation. Notably, his background in academic transport research and government labs gives him practical domain expertise in spatial data and public-sector workflows.
11 years of coding experience
2 years of employment as a software developer
Licenciatura, Economía, Licenciatura, Economía at Universidad de Buenos Aires
Bachiller, Bachiller at Colegio Nacional de Buenos Aires
Python based api for searching google web, images, calc, and currency conversion.
Role in this project:
Back-end Developer
Contributions:96 commits, 18 PRs, 93 pushes in 4 years 5 months
Contributions summary:Agustín refactored the image search functionality and calculator within the Google Search API. This involved reworking the `search_images` method, introducing a `utils` module, and replacing the `BeautifulSoup` module with `requirements.txt` for dependency management. Further contributions included implementing image download methods and restructuring the project as a package, including a `setup.py` file. These changes enhanced the API's functionality and improved its structure.
Contributions:6 commits, 4 PRs, 17 pushes in 18 days
Contributions summary:Agustín's commits primarily focus on modifying and analyzing data within Jupyter Notebooks related to a data analysis course. The code changes involve using the `converters` argument when reading CSV files with `pandas` and altering the data extraction process in the class 2 notebooks. The user is working within the context of a data science and machine learning course based on the repository description and topics. This suggests the user is likely a data scientist or a student performing data analysis tasks in the repository.
cursospythonpordata-sciencedeep-learning
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