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
- 5+ 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
- 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
- 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)
