`print("Hi everyone!")`

Now is the perfect moment for me to introduce myself, sharing details about my bachelor's and master's degrees, job experiences, GitHub repositories, and more. However, as a Data Scientist, I'd like to take a different approach and introduce myself using a linear regression analogy:

$$UserProfile = Name \times X_{1} + BachelorDegree \times X_{2} + MasterDegree \times X_{3} + JobExperience \times X_{4} + GitHubRepositories \times X_{5} + URLs \times X_{6}$$

Feature Name	Estimate	Pr(>\|t\|)	Interpret
Name	Alberto Fernández	2e-05	*
Bachelor degree	Computer Science - Universidad de Alcalá de Henares	4e-05	**
Master degree	Big Data & Business Analytics - Universidad Complutense de Madrid	4.5e-05	**
Job experience	Healthcare and Telco industry	5e-05	***
URLs		5e-05	***

Computer Vision - Portfolio projects

GI Tract segmentation:

NLP projects

PodcastNER:

AutexTification from IberLEF 2023:

Depression detection on text messages from IberLEF 2023:

Castena:

NGO projects - SoGoodData

Competitions

Pump it up: data mining the watertable - Driven data

Position: 47 of 12508 (Username: Big Data - UCM)

URL to RMarkdown code - RPubs (comments in Spanish)

UW-Madison GI Tract Image Segmentation - Kaggle

Finalist at SomosNLP Hackathon - "Los LLMs hablan español"

🛠 Tech skills

Python	OpenCV	PyTorch	Notebook
Sklearn	NumPy	Pandas	Matplotlib
Tensorflow	Keras	MySQL	Linux
Git	Google Cloud	Docker	VS CODE