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gscharly/README.md

Hi 👋 My name is Carlos Gomez

Data Scientist / ML Engineer | Python, ML | Help businesses make data-driven decisions and build ML based-data products

  • 🌍 I'm based in Madrid
  • ✉️ You can contact me at carlos.gomez.sanchez94@gmail.com
  • 6+ years in developing end-to-end ML data-based products: gathering initial requirements, discussions with business stakeholders, use cases definition, exploratory analysis, ETL pipelines, ML models, evaluation & A/B testing, model monitoring and production
  • Expertise in applying Machine Learning to solving business use cases, from initial prototypes to production ML-based products following MLOps best practices
  • In-depth understanding of Python
  • Experience in Functional and Object-Oriented Programming styles
  • Highly experienced in dealing with high dimension datasets using Spark
  • Knowledge of Cloud platforms, especially Google Cloud Platform
  • Good exposure to CI/CD best practices using Jenkins and GCP
  • Highly sklled in SQL and working with data warehouses
  • Worked for industry clients in the telco and banking sectors

Skills

PythonGitDockerTensorFlowPyTorchGoogle Cloud

Tools | Frameworks

  • Python ML & DL toolkit: Scikit-learn, Lightgbm, Tensorflow (Keras), Pytorch, Spacy
  • Data processing: Numpy, Pandas
  • ETL orchestration: Luigi, Apache Airflow
  • Data visualization: Matplotlib, Seaborn, Plotly
  • Cloud Services: GCP (Vertex AI, Cloud Dataproc, Cloud Build, BigQuery), AWS (Sagemaker, EMR)
  • Docker
  • IDEs: Jupyter-lab, Pycharm, IntelliJ
  • Web development with Nodejs and Flask

Research thesis

  • Automatic generation of sport news using NLP techniques and ranking systems (Universidad Rey Juan Carlos Madrid, 2021)
  • Design and implementation of initialization techniques for Deep Learning algorithms (Universidad Politécnica de Madrid, 2018)

Socials

Pinned Loading

  1. drl_p3_collaboration_competition drl_p3_collaboration_competition Public

    Multi-agent Reinforcement Learning - Train a pair of agents to play tennis. Part of Udacity DRL Nanodegree

    Python

  2. drl_p2_continous_control drl_p2_continous_control Public

    Policy Based Methods - Train a double-jointed arm to follow target locations. Part of Udacity DRL Nanodegree

    Python

  3. drl_p1_navigation drl_p1_navigation Public

    Value Based Methods - Train an agent to collect bananas. Part of Udacity DRL Nanodegree

    Python

  4. master_ds_tfm master_ds_tfm Public

    Data Science Master degree Final thesis. Automatic generation of sport news using NLP and ranking techniques

    Jupyter Notebook

  5. practica_sistemas_distribuidos practica_sistemas_distribuidos Public

    Sentiment analysis in Spain using Twitter and MRJob. Part of Master Degree on Data Science in URJC Madrid

    Python

  6. chefs_graph chefs_graph Public

    This project uses graph analysis techniques to visualize the relation between different chefs

    HTML