Juan Luis

Product Manager for Kedro, an opinionated, open source Python framework for data science

Developer Advocate for Kedro, an open source framework for data scientists.

- Responsible for the content creation roadmap, published notable blog posts on emerging Python libraries like Polars and DuckDB - Responsible for the go-to-community strategy, spoke at several PyData and PyCon events around the world - Responsible for the social channels of the company, including Twitter and LinkedIn - Responsible for the documentation, rewrite from reST to Markdown (MyST) while keeping Sphinx - Planned and led a livestreamed community event to announce a major version of the product - Implemented an ELT data architecture for data-driven decision-making, including dashboards for C-level and investors, using Google BigQuery, Meltano, dbt, Orchest, and Metabase - Implemented better analytics solutions on our website for easier conversion tracking using Google Tag Manager

Professor of three courses in the Master in Business Analytics & Big Data: • Python for Data Analysis I • Python for Data Analysis II • Advanced Python

Work on the Chan Zuckerberg Initiative grant to improve documentation for scientific projects: - Wrote a beginners tutorial for Read the Docs - Wrote a beginners tutorial for Sphinx, with input from the community - Gave several technical talks about Markdown in Sphinx - Engaged with the PyData community online - Participated in discussions related to packaging

Research about open source tools for orbit propagation as part of the OpenSatCom project.

• Development of open source Python library for orbit-propagation • Development of an asynchronous Python software running on board of the satellite to execute tasks • Define orbital configurations for long term simulations • Outreach

Maintainer of Astropy (astropy.coordinates subpackage) a NumFOCUS sponsored project, under contract as part of a grant by the Moore Foundation.

Professor of Introduction to Python in the Executive Masters in Business Analytics.

Professor of the course "Data Science Foundations" in the Master in Big Data Solutions.

• Development of open source geospatial Python library https://github.com/satellogic/telluric/ • Development of REST APIs for geospatial data consumption (Django Rest Framework) • Development of solutions for geospatial data storage and retrieval using databases and cloud storage solutions (PostgreSQL/PostGIS, Azure Cloud Storage) • Support for the Data Science and Solutions team • Outreach

Studied machine learning algorithms to predict air trajectories as part of the "Data-driven AiRcraft Trajectory prediction research" H2020 project.