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(Aktualisiert 2020-01-10)Data scientist
Vigo, Spain
Einheimische Spanish, Fließend English, Mittelstufe French
- Deep neural networks
- Experienced data scientist
- Experienced Python programmer
Fähigkeiten (21)
VISUALIZATION
KERAS
NEURAL NETWORKS
TEACHING
PANDAS
STATISTICAL ANALYSIS
DOCUMENTATION
TENSORFLOW
INDUSTRIAL ENGINEERING
Git
TRADING
MATPLOTLIB
NUMPY
OPTIMIZATION
MONTE CARLO
SOFTWARE ENGINEER
REAL-TIME
Python
ROBOTICS
NEURAL
FANUC
Zusammenfassung
Passionate about research, data science, machine learning and software engineering. Worried about climate change. Free software advocate and contributor.
- https://www.linkedin.com/in/peque/
- https://github.com/Peque/
- https://stackexchange.com/users/4387363/peque?tab=accounts
Berufserfahrung
2014-01 - Jetzt
Machine learning algorithms for automated trading in forex and stock exchanges. Parallel, distributed, scalable systems with ZeroMQ.
- Deep and convolutional neural networks applied to automated trading.
- Statistical analysis and portfolio optimization with Monte Carlo and walk-forward simulations.
- Research and development of market-structure-based indicators.
- Design and development of a general-purpose multi-agent system module in Python (https://github.com/opensistemas-hub/osbrain).
- Design and development of a real-time trading platform based on the multi-agent system module.
- Design and development of a tool for real-time market data visualization.
- Presenter at EuroPython, PyData Madrid and PyConES.
Technologies: Python, Keras, TensorFlow, Numpy, Scipy, Pandas, Numba, ZeroMQ, C, Theano, scikit-learn, Matplotlib, Bokeh, Plotly, Pyro, PyQtGraph.
Testing and development: pytest, Tox, flake8, Black, isort, Git, Gitlab, GitHub, Travis, Vim, Neovim.
Documentation: reST, Sphinx, Read the Docs.
2013-01 - 2013-01
Free software solutions for virtualization, monitorization and high availability services.
2008-01 - 2012-01
Part-time remunerated internships. Projects with a duration from 6 to 12 months.
2008-01 - 2010-01
Teaching C programming to more than 100 engineering students.
Akademischer Hintergrund
2007-01 - 2015-01
2013-01 - 2014-01