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Achievements

Achievement: QuickdrawAchievement: Pull Shark

Achievements

Achievement: QuickdrawAchievement: Pull Shark

Highlights

  • Pro

Organizations

@COPLIN-UFSM

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henryzord/README.md

👋 Hi!

My name is Henry Cagnini. I have a PhD in Computer Science by Pontifical Catholic University of Rio Grande do Sul (PUCRS), with a six-month internship at University of Kent. While I also got my Master's in Computer Science at PUCRS, I have a bachelor's degree in Computer Science by Federal University of Santa Maria (UFSM).

I was born and raised in Santa Maria, Rio Grande do Sul, Brazil.

💽 What do you do?

I'm currently an IT Analyst at Federal University of Santa Maria (UFSM). I mostly work with business intelligence, data mining, and machine learning.

I was also...

  • A Substitute Teacher at Industrial Technical College of Santa Maria (CTISM) (High School and Undergratuate);
  • A teacher at various institutions, such as PUCRS, Uniritter, Feevale, TargetTrust (Postgraduate);
  • An intern at Motorola Mobility Inc;
  • An intern at Enovative Design and Technology.

You can check some of my current and previous work at these organizations:

Research interests

My research interests are evolutionary algorithms, machine learning, and the teaching of computer science topics.

🎨 What are your hobbies?

I like to...

  • Play videogames 🎮
  • Travel ✈️
  • Eat at cafés ☕
  • Be with the people I love 💑

🌐 Social networks

📫 How to reach me

E-mail me: henry.cagnini@gmail.com

💻 Competences

My competences sorted by the most to least competent are*:

Status Programming languages Marking languages Technologies and topics
5️⭐ Python, Java, C LaTeX, Markdown Evolutionary Algorithms, Machine Learning, Statistics, Data visualization
4️⭐ C++ HTML, RestructuredText
3️⭐ Assembly, Android, Javascript CSS Frontend, Backend, Databases
2️⭐ OpenCL, CUDA, Prolog, Haskell, PHP Deep Learning
⭐ You're not here for my one-star competences, are you?

* Non-extensive list. Just the ones from the top of my head

⚡ Fun fact

Did you know the humanity already solved one of the seven Millenium Problems?


Metrics

Metrics

Pinned Loading

  1. A snippet for demonstrating how to l... A snippet for demonstrating how to log metadata with tensorboard, even if you don't use deep learning models.
    1 
    """
    2 
    Code for demonstrating how to log metadata with tensorflow and tensorboard.
    3
    4 
    To install required libraries, run the following command in conda, or the equivalent in pip:
    5
  2. A small script for generating critic... A small script for generating critical difference plots using Nemenyi statistical test.
    1 
    import Orange  # pip install orange3
    2 
    import matplotlib.pyplot as plt
    3 
    import pandas as pd
    4 
    import argparse
    5 
    import numpy as np
  3. ml-meetup-python-notes ml-meetup-python-notes Public

    Repositório com código fonte e slides da apresentação sobre como começar a praticar Machine Learning com Python.

    Jupyter Notebook 6 1

  4. ednel ednel Public archive

    Estimation of Dependency Networks Algorithm for Ensemble Learning

    Java 1

  5. PBIL PBIL Public

    Repository of code from paper An Evolutionary Algorithm for Learning Interpretable Ensembles of Classifiers

    Python 5