Welcome to my GitHub profile! I'm passionate about Machine Learning, Deep Learning, and Data Science. I enjoy working on challenging problems, especially in Neural Networks and 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 a Technician at LODCoreMadrid (UC3M), specialized in open and linked data.
Feel free to explore my repositories and connect with me!
| 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. |
| Pacman_Reinforcement | 🕹️ Building an agent for Pac-Man using reinforcement learning. |
| Flask_Web_Application | 🌐 Develop a full-stack web application using Flask, SQL, HTML, and JS. |
| Bayesian_Case_Study | 🌌 Predict hazardous NEOs using Bayesian methods on NASA datasets. |
| Machine_Learning_Applications | 🖥️ Forum enhancement project utilizing advanced data analysis: web scraping, text preprocessing, vectorization, clustering, sentiment analysis, and topic modeling. |
More repositories are available in the repository tab. Feel free to explore!
