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💫 About Me:

📍BSc graduate in Computer Engineering & MSc holder in Data Science.

📍Problem solver oriented towards results.

📍Hands-on experience in analyzing data sets, building data pipelines and working with machine learning models.

🌐 Socials:

LinkedIn

💻 Tech Stack:

Python Java Pandas Plotly scikit-learn NumPy Apache Airflow AWS R Scala LaTeX Markdown MySQL SQLite

📊 GitHub Stats:


🏆 GitHub Trophies

José Manuel Díaz Urraco's Projects

curso2020-2021 icon curso2020-2021

Repository for the course Semantic Web, Linked Data and Knowledge Graphs (2020-2021, first semester) and Open Data and Knowledge Graphs (2020-2021, first semester)

data-processes-assignment icon data-processes-assignment

COVID-19 survival analysis of a dataset and prediction using Python (sklearn, pandas, numpy, matplotlib, lifelines, mlxtend, joblib)

dbpedia-spotlight-wikidata icon dbpedia-spotlight-wikidata

Added Wikidata entities to DBpedia Spotlight - Final Degree Project, Computer Engineering at Technical University of Madrid

dq-bart icon dq-bart

DQ-BART: Efficient Sequence-to-Sequence Model via Joint Distillation and Quantization (ACL 2022)

enclavamiento icon enclavamiento

Prácticas de la asignatura de Concurrencia - Monitores y JCSP

factcc icon factcc

Resources for the "Evaluating the Factual Consistency of Abstractive Text Summarization" paper

informationretrieval icon informationretrieval

Information Retrieval, Extraction and Integration course assignments using OpenCV and AdaRank.

machine-learning-practical-applications icon machine-learning-practical-applications

Four practical applications: 50% of the overall grade, all weigh equal (12.50% out of 100%). The mark in each has to be greater or equal to 4 (out of 10) to pass this compulsory part.

prolog icon prolog

Prácticas de Programación Lógica y Restricciones

sos icon sos

Prácticas de Sistemas Orientados a Servicios

transformers icon transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

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