Welcome to my GitHub profile! I'm passionate about Machine Learning and Deep Learning. I also enjoy working on challenging problems, especially in Statistical Learning.
- 🎓 Final-year Data Science and Engineering student at Universidad Carlos III de Madrid (UC3M).
- 💼 Completed a 9-month internship at Vodafone Spain in the Digital & IT Processes department.
- 💻 Currently working as an Engineer Assistant at LODCoreMadrid (UC3M), specialized in open and linked data.
Feel free to explore my repositories and connect with me!
| Repository | Description |
|---|---|
| Machine_Learning_Applications | 🔄 Forum enhancement project utilizing advanced data analysis: web scraping, text preprocessing, vectorization, clustering, sentiment analysis, and topic modeling. |
| Pacman_Reinforcement | 🕹️ Building an agent for Pac-Man using reinforcement learning. |
| SupervisedTools_StatisticalLearning | 🔢 Application of classification and regression techniques in R. |
| UnsupervisedTools_StatisticalLearning | 🎯 Exploration of unsupervised learning tools in R for Twitch data analysis. |
| Repository | Description |
|---|---|
| RNN_Sentiment_Analysis | 🌿 Sentiment analysis using RNNs and attention mechanisms to improve text classification. |
| Deep_Autoencoders_MNIST_FMNIST | 🧠 Explore deep autoencoders on MNIST & FMNIST datasets. Includes denoising, regularization, and architecture experiments. |
| CNN_Bird_Cat_Classification | 🐦 vs 🐈 CNN-based classifier using the CIFAR-10 dataset. |
| Exploring_Variational_Autoencoders_Gaussian_Mixture_Models | 🔀 Dive into VAEs for 3D Gaussian Mixture Models. Synthetic data generation & modeling. |
| Chord_classifier | 🎵 Classification of minor and major signals extracting key audio features. |
| Vessel_segmentation | 🧠 Retina image analysis and segmentation. |
| Repository | Description |
|---|---|
| Supermarket_product_recommender | 🛒 Dashboard for product recommendations using supermarket web data and the Open Food Facts API. |
| Web_Scraping | 🔄 Different approaches for web scrapping: Beautiful Soup, Scrapy and Selenium. |
| Worldbank_API | 🌏 Analyze data using the World Bank API. |
| API_creation | 🌐 Flask-based API with client-server setup for sending requests, processing user data and validating access tokens. |
| Repository | Description |
|---|---|
| Bayesian_Case_Study | 🌌 Comparison of Bayesian and frequentist approaches using R2OpenBugs and MCMC libraries in R. |
| Porfolio_Linear_Optimization | 🔼 Portfolio optimization with Pyomo and mathematical constraints. |
| Titanic_Analysis | 🚢 Analysis of survival factors from Titanic data using R. |
| Repository | Description |
|---|---|
| Flask_Web_Application | 🌐 Develop a full-stack web application using Flask, SQL, HTML, and JS. |
| PageRank_MassiveComputing | 🔄 Implementation of the PageRank algorithm using Spark in Databricks. |
| Excel_dashboard | 📊 Dynamic dashboard simulating Oscars and Razzies with advanced formulas, VBA and pivot tables in Excel. |
More repositories are available in the repository tab.
