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Who I am...

  • šŸ‘‹ Hi, Iā€™m @micheldc55
  • šŸ‘€ Iā€™m interested in Deep Learning, Data Science, Big Data, Statistics and Brazilian Jiu Jitsu stats! But the thing I like the most is definitely Deep Learning!
  • šŸŒ± Iā€™m currently working on personal projects related to Text generation and Indexing and Image Similarity with Deep Learning, but work mostly on Data Science in my job.
  • šŸ“« You can reach me through LinkedIn

I'm passionate about Data Science. I'm currently working for a European airline company, my main work is in Dynamic Pricing by probabillistic modelling. But I've also worked in projects related to flight loads and in projects related to text generation and indexing through LLMs.

I used to work on Map Analytics for an European Map provider in Madrid, Spain. Unfortunately, that means that I cannot disclose exactly what I'm working on nor the company name, but we do a lot of analytics and ML models related to Map performance and user interactions. I'm also a Kaggle Expert, constantly trying to improve my DS skillset, so check me out if you can! Feedback is appreaciated!

Before that I used to work in logistics and customer analytics for a company in my home country of Uruguay. We were in charge of building customer knowledge for the company. We developed clustering algorithms to better understand the similarities between customers at the e-commerce site. We also created models to improve order

On my spare time, I like working on Deep Learning projects, mainly in Natural Language Processing and Computer Vision. I'm also building a Stats Database for Brazilian Jiu Jitsu fans! Think of a place were you can reference if you need to know who are the biggest winners, the most submission oriented or the best trends of our sport. If you are interested in that, don't be afraid to let me know!

micheldc55's Projects

backpropagation_explained_streamlit icon backpropagation_explained_streamlit

This repo contains a streamlit application that contains the basics of backpropagation. The data and content is mostly based on Andrej Karpathy's YouTube video on bakpropagation, which I think anyone with an interest in Deep Learning should watch (preferably multiple times XD).

chachibt icon chachibt

Implements a simple ChatGPT with streamlit that also records your conversations

cheatsheet icon cheatsheet

Python and Machine Learning cheat sheet for Data Science projects

customer_segmentation_project icon customer_segmentation_project

In this project I create a customer segmentation model for data obtained from Kaggle. Within the project I explore the features, visualize them, apply normalizations, review the data, create clusters, evaluate them and apply business-intelligence to the results.

learning_rust icon learning_rust

This repo's sole intention is to hold all my Rust projects while I learn the language. If anyone's interested, feel free to contribute with extra material

mi-primer-repo icon mi-primer-repo

This repository is used as the main repository for version control

ml-from-scratch icon ml-from-scratch

Implementing some ML algorithms from scratch (mainly for learning / curiosity purposes)

ml_project_with_docker icon ml_project_with_docker

This project helps as a baseline for building a general Machine Learning Project that uses Docker. It can be integrated with the DevContainers extension in VS Code.

rl_wordle icon rl_wordle

Repository for implementing Deep Reinforcement Learning for beating Wordle

serverless-full-stack-apps-azure-sql icon serverless-full-stack-apps-azure-sql

Full stack solution using Javascript, Azure Static Web Apps, Azure Function, Azure SQL Database and a microservice architecture to monitor in real-time public transportation data, create a geofence and send notification when geofence is activated

spanishlotterysim icon spanishlotterysim

This repository simulates the Spanish Christmas Lottery, known as "El Gordo de Navidad". The primary aim of this project is to estimate the probabilities of winning various prizes in the lottery via simulation.

teaching icon teaching

Kernels used for teaching a Data Science masters degree using Python.

testing_flask_twilio_app icon testing_flask_twilio_app

Testing a toy Python app using Flask that listens to POST requests from Twilio. The idea is to use Twilio's webhooks to alert the app that a message in a conversation has been sent.

testing_uv_with_docker icon testing_uv_with_docker

The purpose of this repository is to test whether the uv library can speed up docker builds by a substantial amount.

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