I co-teached:
* "Data Cleaning and Exploratory Analysis" and "Time series analysis" courses in "Certification in Data Science, Machine Learning and its Applications"
* "Machine Learning in Python" course for a private company

Building data products following the lean dogma. Working in data analysis projects from end to end: from gathering, evaluating and cleaning data, implementing and evaluating models to implementing, deploying and testing data pipelines.
Sample projects:
* Characterizing thousand of clients using consumption patterns of thousand of products to generate insights for the sales team using Python scipy stack
* Building data pipelines for extracting historical and stream data from several sources (news, social networks like Twitter and Reddit, etc.) to expose the labeled data to a frontend using Python and AWS services.
* Automating deploy of several databases and microservices in several clouds (Google GKE, Red Hat Openshift in AWS and on-premises) using Docker, Kubernetes and helm. Reducing time to deploy the system from several days to minutes in a reproducible way.

Worked for CONAE, Argentinean Aerospacial Agency as SQA Manager in Software Development Department, my responsibilities included but they were not limited to:
• Lead, control and manage the software verification process, which is part of the ISO:9001 certified quality management system.
• Create and maintain test plans for every project.
• Manage and review verification activities as test case design, test environment management, test automation, code reviews, etc.
• Contribute to the definition of general policies and practices inside software development department and each Scrum team, balancing Agile practices and ISO:9001 requirements.