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davidfernxndez/README.md

Data Scientist | Machine Learning & AI | Software Engineering

Data Scientist and Software Engineer with more than 3 years of professional experience developing data-driven software solutions across the entire data lifecycle.

I hold a Bsc and MSc in Telecommunications Engineering and an MSc in Data Science and Computer Engineering from the University of Granada, with a strong academic record, including 9 highest-honors distinctions.

🛠️ Tech Stack

Programming Languages

Python SQL R

Big Data Analytics and Databases

PySpark Apache Spark Hadoop PostgreSQL MySQL MongoDB Oracle

Machine Learning, AI and Data Science

Pandas NumPy Scikit-learn PyTorch TensorFlow Hugging Face OpenCV XGBoost SHAP

MLOps & Deployment

MLflow Docker Streamlit Git

📚 Featured Projects

Here are some highlights from my portfolio. Feel free to explore the repositories for detailed documentation, code and Live Demos:

🏙️ Explainable AI for Urban Fragmentation

End-to-end Data Science and XAI project for the automatic classification of residential typologies, combining Machine Learning with model interpretability techniques.

Python Scikit-learn XGBoost SHAP Streamlit

🔗 Repository
🌐 Web App

📡 Deep Reinforcement Learning for Energy Saving in 5G Networks

DQN-based system designed to reduce energy consumption in 5G networks while maintaining service quality.

Python Deep Reinforcement Learning Gymnasium DQN

🔗 Repository
📄 Paper — IWANN 2025

⚡ Active Learning with Apache Spark

Scalable Active Learning framework combining uncertainty and diversity-based instance selection with Apache Spark and MLlib.

Python PySpark MLlib K-Means

🔗 Repository
 

🎙️ Pitch Correction System

Open-source audio processing engine and desktop application developed from scratch for real-time vocal pitch correction.

MATLAB UI Design DSP Audio Processing

🔗 Repository
🌐 Web App

📫 Connect with me

I am interested in opportunities in Data Science, Machine Learning, and AI, where I can combine my background in engineering, data, and software development. Feel free to contact me via Linkedin or Email 😊

🔗 LinkedIn: https://www.linkedin.com/in/david-fernxndez-martinez/
✉️ Email: david.fernxndez.martinez@gmail.com

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  1. urban-typology-xai urban-typology-xai Public

    Explainable AI for urban typology classification of residential enclosure patterns.

    Jupyter Notebook

  2. spark-active-learning spark-active-learning Public

    Distributed Active Learning using Apache Spark and MLlib, combining uncertainty sampling and diversity-based selection.

    Jupyter Notebook

  3. DQN-Resource-Allocation-Agent-in-5G DQN-Resource-Allocation-Agent-in-5G Public

    Deep Reinforcement Learning agent to reduce energy consumption in 5G mobile networks

    Python 1

  4. Sofascore-ETL-scraper Sofascore-ETL-scraper Public

    SofaScore ETL scrapper in progress.

    Jupyter Notebook

  5. pitch-correction-system pitch-correction-system Public

    Final degree project in Telecommunications Technology Engineering

    MATLAB

  6. SouthPitch SouthPitch Public

    Pitch correction system programmed in Matlab whose user interface has been designed in Matlab App designer and photoshop.