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Hi there, welcome to my profile πŸ‘‹



I am Carlos, I have over seven years of experience in software development and data, primarily in consultancy, logistics, and mobility.

I am passionate about solving complex business problems, including collecting, interpreting, analyzing, and modeling data. I also like learning about management and new technologies focused on Machine Learning, MLOps, Data Engineering, and Data Analysis.

I am currently pursuing a Master’s degree in Computer Science at the Technical University of Munich (Machine Learning).

I’m looking to collaborate on data science and data engineering projects.

I also teach computer science topics such as Python, OOP, Unit and Integration Testing with Pytest, Packaging with Python, API REST, Software Engineering, Monitoring, Observability, Docker, and GitHub Actions. Visit https://carloslme.com/ide

Ask me about data engineering topics (SQL, ETL, orchestration, Spark, streaming, batch, etc), and MLOps topics.

You can reach me at:
LinkedIn
Personal Email: [email protected]
TUM Email: [email protected]
Website: www.carloslme.com





carloslme's Projects

airflow icon airflow

This repository will have exercises and recipes for Apache Airflow

api-flask icon api-flask

This is an API to deploy a machine learning algorithm

blog icon blog

This repository contains the code used in blogs

data-engineering icon data-engineering

This repo has different implementations (scripts) to perform DE tasks, such as ETL, data migrations, etc.

data_visualization_with_tableau icon data_visualization_with_tableau

This is the repository where I share all the exercises done in the Data Visualization with Tableau course: https://classroom.udacity.com/courses/ud1006

docker icon docker

This repository has all the exercises and docker files that will act as recipes in future personal projects

ds-portfolio icon ds-portfolio

This repo contains different data science projects and their implementations

ejemplo-nombres icon ejemplo-nombres

This is an example of how to implement Continuous Integration with GitHub Actions.

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