Skip to content
View gabriel-macherini's full-sized avatar
0 followers · 2 following

Highlights

  • Pro
Block or Report

Block or report gabriel-macherini

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
gabriel-macherini/README.md

Hi there 👋! I'm Gabriel Macherni Quaglia

Biomedical Researcher and Data Scientist

LinkedIn Badge Kaggle Badge Instagram Badge Gmail Badge

Biomedical researcher and data scientist with a master's degree in Molecular and Morphofunctional Biology. I have a strong background in data analysis and data processing.

Analytics Tools

  • Data collection and Storage: SQL.
  • Data processing and analytics: Python, Jupyter.
  • Development: Git.
  • Data visualization: Matplotlib and Seaborn.
  • Machine Learning Modeling: Classification, Regression, Clustering, and Time Series.

Data Science Projects

Under construction!

Popular repositories

  1. deploying-machine-learning-models deploying-machine-learning-models Public

    Forked from trainindata/deploying-machine-learning-models

    Code for the online course "Deployment of Machine Learning Models"

    Jupyter Notebook

  2. Gabriel-Macherini Gabriel-Macherini Public

    My personal repository

  3. Master-UNICAMP Master-UNICAMP Public

    Jupyter Notebook

  4. simple_docx_to_csv simple_docx_to_csv Public

    Jupyter Notebook

  5. hugging-face-demo hugging-face-demo Public

    aprendendo a usar hugging face modelling

    Makefile

  6. Clustering-with-LLM Clustering-with-LLM Public

    Forked from damiangilgonzalez1995/Clustering-with-LLM

    A customer segmentation project can be approached in multiple ways. In this repository, we will explore advanced techniques for defining clusters and analyzing the results.

    Jupyter Notebook