pguillo02 (Pablo Guilló) · GitHub
Skip to content
View pguillo02's full-sized avatar
3 followers · 8 following

Achievements

Achievement: YOLOAchievement: Pull Sharkx2Achievement: Quickdraw

Achievements

Achievement: YOLOAchievement: Pull Sharkx2Achievement: Quickdraw

Highlights

  • Pro

Block or report pguillo02

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.

Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

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

Report abuse
pguillo02/README.md

Pablo Guilló, Data Scientist

About Me:

Data Scientist and Machine Learning Engineer with relevant experience regarding de use of data for analytics, representation an Artificial Intelligence.

Technologies:

Python PyCharm Jupyter Notebook Conda
PyTorch Badge TensorFlow Badge Keras Badge
R RStudio ggplot2 gganimate
Java IntelliJ Idea Maven
SQL Badge Oracle DB MySQL PostgreSQL
NoSQL MongoDB Neo4j
Git GitHub GitHub Actions
Docker Docker Compose Visual Studio Code
Linux Fedora GNU Bash

You can find me on:


GitHub Analytics:

Pinned Loading

  1. LLM-Tokenizer LLM-Tokenizer Public

    (Currently working)

    Python 1

  2. RAG-ARCHITECTURES RAG-ARCHITECTURES Public

    Jupyter Notebook

  3. My-own-llm-agent My-own-llm-agent Public

    Python

  4. sorting_algorithms sorting_algorithms Public

    Python 1

  5. Fake-Face-Detector Fake-Face-Detector Public

    Fake face :trollface: detector developed for the AA2 course. This multimodel project allows users to distinguish between fake 🐛 and real pictures of faces. Based on CNN and transfer learning ⏩ properties.

    Jupyter Notebook 1 1

  6. Car-Detector Car-Detector Public

    🚗 Car detector that allows the recognition of moving objects on and off the road. Developed for the FSI course, takes advantage of computer vision 👁️ principles through the OpenCV library.

    Jupyter Notebook 1