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  • 👋 Hi, I’m @mateo762, Mateo Echeverry Hoyos
  • 📚 I'm a student currently enrolled in the Master's degree program in Artificial Intelligence at KU Leuven. I previously completed my bachelor's degree in Computer Engineering, which included an exchange year at EPFL, where I took courses in the Master's in Data Science program. I'm a curious and analytical person, with a strong interest in AI and the challenges it presents.
  • 👀 I’m interested in Machine Learning and Data Analysis, and the ways in which these fields can be applied to solve real-world problems. I’m particularly interested in the intersection of technology and social issues, and how data can be used to create positive change.
  • 📊 I’m currently learning about Deep Learning and Natural Language Processing, and how these technologies can be used to build intelligent systems. I’m also interested in learning more about Web Development and full-stack engineering.
  • 🖊️ I’m looking to collaborate on projects that involve Data Science, Machine Learning, or Web Development. I’m always open to new challenges and opportunities to learn, and I believe that working on collaborative projects is a great way to do so.
  • 📫 If you’d like to get in touch, you can reach me at [email protected] or through my website at https://mateo762.github.io/. I’m also active on LinkedIn and GitHub, where you can find more information about my projects and experience.

Mateo Echeverry Hoyos's Projects

android-week-view icon android-week-view

Android Week View is an android library to display calendars (week view or day view) within the app. It supports custom styling.

autogen icon autogen

A programming framework for agentic AI. Join our Discord: https://discord.gg/pAbnFJrkgZ

logistic-regression-higgs-boson icon logistic-regression-higgs-boson

EPFL Machine Learning Project 1. Created a regularized logistic regression to to detect Higgs Boson decay signatures in a dataset of collisition decay signatures.

mateo762.github.io icon mateo762.github.io

Personal website where you can find my latest projects and interests. Coded in HTML, Javascript, CSS and Bootstrap

shortest-path-metro-kyiv icon shortest-path-metro-kyiv

UPM Artificial Intelligence Project. Implemented the A star algorithm in order to find the shortest path between 2 metro stations depending either on the distance or the number of transfers.

unet-road-segmentation icon unet-road-segmentation

EPFL Machine Learning Project 2. Created an Unet model, a convolutional neural network for image segmentation. The model extracts roads from aerial satellite images.

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