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matgonz/README.md

Matheus Gonzalez

Welcome! I've shaped my career at the intersection of Software Development and Machine Learning, helping companies optimize their infrastructure and unlock potential through data, resulting in increased revenue and greater operational efficiency.

I'm driven by a deep passion for learning and sharing knowledge in the world. This profile showcases my projects and contributions, reflecting my journey of continuous learning.

Quick guide to explore my github repositories:

📚 -> Continuous learning and studies
👩‍🏫 -> Training materials from the courses I teach
💻 -> Personal projects where I explore new technologies and creative solutions
🛠️ -> Save useful informations

Popular repositories

  1. churn_prediction churn_prediction Public

    [💻] A gentle and short guide to solve a real-world business problem with machine learning and applying MLOps to integrate the solution with business operations and scaleup the results.

    Jupyter Notebook

  2. matgonz matgonz Public

    My readme repository that I continually update

  3. data_quality_analysis data_quality_analysis Public

    [📚] Analysis developed to Data Government class during my MBA of Big Data and Data Science studies at FIAP. The main objective of this analysis was identify and describe data quality problems.

    Jupyter Notebook

  4. utils utils Public

    [🛠️] Scripts and useful information.

    Python

  5. azure_databricks_mlops_e2e azure_databricks_mlops_e2e Public

    [👩‍🏫] In this repository I'll show you how to use Azure Databricks for development and training machine learning models, and build a MLOps pipeline to serving them with CI/CD process.

    Jupyter Notebook

  6. practical_mlops practical_mlops Public

    [📚💻] Notes, code examples and exercises based on the book Practical MLOps - Operationalizing Machine Learning Models by Noah Gift & Alfredo Deza

    Makefile