Buenos Aires, Autonomous City of Buenos Aires, Argentina
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Summary
🤩
Rockstar
🎓
Top School
Juan Garcia is a Data Scientist and ML Engineer based in Buenos Aires with three years of hands-on experience building and shipping data-driven products across e-commerce, pharma, and digital agencies. He holds an MSc in Data Science from ITBA and blends statistical rigor with ML engineering practices—model serving, CI/CD, monitoring and retraining—to drive revenue optimization and causal insights at Mercado Libre. Juan has strong front-end chops for data apps, contributing UI/UX improvements to the popular Streamlit project, and is comfortable across the full analytics stack from AWS ETL pipelines and Redshift to Databricks and Looker/Power BI. He also explores AI agents and LangChain-based solutions to automate analytical workflows, bringing a practical focus on automation and scalability. A multidisciplinary background in communications and design informs his ability to translate complex models into actionable dashboards and stakeholder-facing narratives.
3 years of coding experience
2 years of employment as a software developer
Bachiller con orientación en Humanidades Humanidades, Bachiller con orientación en Humanidades Humanidades at Jesús En El Huerto de Los Olivos
Data Science Data Science, Data Science Data Science at Digital House
Data Analytics Data, Data Analytics Data at Coderhouse
Communications Degree Licenciado en Ciencias de la Comunicación Comunicación general, Communications Degree Licenciado en Ciencias de la Comunicación Comunicación general at UADE
Master in Data Science (MSc) Procesamiento de datos y tecnología de procesamiento de datos, Master in Data Science (MSc) Procesamiento de datos y tecnología de procesamiento de datos at Instituto Tecnológico de Buenos Aires
Industrial Design Diseño industrial y de productos, Industrial Design Diseño industrial y de productos at ORT Argentina
Streamlit — A faster way to build and share data apps.
Role in this project:
Front-end Developer
Contributions:36 reviews, 31 commits, 23 PRs in 5 months
Contributions summary:Juan primarily contributed to the front-end of the Streamlit application, focusing on UI/UX enhancements. Their commits demonstrate a strong understanding of React and related technologies, as they fixed widget overflow issues, improved mobile UX with `st.selectbox` and `st.multiselect`, and refined the visual presentation of various components. They also addressed a range of visual and layout-related design improvements across the application.
Source code for the Streamlit Python library documentation
Role in this project:
Front-end Developer
Contributions:35 reviews, 57 commits, 32 PRs in 4 months
Contributions summary:Juan primarily focused on updating and enhancing the documentation site's front-end components and styles. They implemented new features and updated existing components such as data source cards, news entries, and collapse panels. The user also addressed issues with the sidebar, sticky navigation, and syntax highlighting. The changes involved modifying CSS modules and JavaScript components, indicating a focus on UI/UX improvements.
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