Albert Villanova del Moral
Machine Learning Engineer at Hugging Face, Freelance Data Scientist, Founder & CEO at Aiinnova,
PhD Theoretical Particle Physics, MSc Computer Science
PhD Theoretical Particle Physics, MSc Computer Science
Experience
- Machine Learning Engineer
- Hugging Face
- From 2021-04 to Present
- Maintainer of Datasets library
- Co-chair of Data Tooling working group in BigScience project
- Founder & CEO
- Aiinnova
- From 2020-07 to Present
- Artificial Intelligence and Data Science consulting services
- Data Scientist, Manager
- Open Groupe
- From 2016-04 to 2020-07
- Agile Management of the Data Science team (20 members, 6 CIR/research projects)
- Industrial project for detecting falls from accelerometer and gyrometer data
- Big Data market analysis project using job data
- HR project for automatic extraction of main skills from CV text analysis
- Data Scientist Consultant
- Societe Generale Corporate and Investment Banking - SG CIB
- From 2016-10 to 2019-10
- Analysis of the performance of the electronic market making network
- Supervision of master thesis: “Latency Optimization: A Recurrent Neural Network Based Approach for High Frequency Time Series Prediction”
- Statistical analysis of trading signals
- Design, development, distribution and production of a Python package and a web service, to access various sources of market data and transcodings of financial instrument codes
- Development of a natural language processing (NLP) solution to generate trading signals
Data Analysis and Data Science on low latency trading
- Data Scientist
- IKCOM
- From 2015-07 to 2015-11
- Creation of a Python package for text analysis: topic clustering, sentiment analysis, language detection, spelling correction, lemmatization, tag cloud, summarization
- Creation of a web API web with Flask (Pyhton) to make accessible the text analysis functionalities via RESTful web services
- Creation of a Python package for lead generation by filtering texts to find purchase intentions
Text Analytics on social media:
- Temporary Assistant for Research and Teaching (ATER)
- Université Montpellier 2
- From 2012-11 to 2013-09
- Teaching at University of Montpellier 2 and at Polytech: Thermodynamics, Mechanics, Electromagnetism, PEIP Tutoring (total: TD 76,5h + TP 18h)
- Data analysis of neutrino experiments
- Development of phenomenological models to explain experimental data
- Creation of a Sagemath code for the calculation of radiative corrections to a neutrino mass loop
- Creation of Mathematica code to automate the graphical representation of the correlation between neutrino observables for the case of texture models
Scientific research and higher education teaching:
- Researcher
- CNRS
- From 2009-11 to 2012-10
- Data analysis of neutrino experiments
- Development of phenomenological models to explain experimental data
- Generalizing the Fortran code of SuSpect (program of High Energy Physics)
- Transformation of the procedural code to the modular paradigm
- Generalization of scalar variables in vector and matrix variables
- Creation of an interface with Mathematica for automatic generation of renormalization group equations
Scientific Research: project, carried out in collaboration with LPSC (Grenoble), consisted in:
- Researcher
- Instituto Superior Técnico (IST), Lisbon
- From 2007-02 to 2009-10
- Analysis of data from neutrino experiments
- Development of phenomenological models to explain experimental data
- Creation of a Mathematica program to read data files in SLHA2 format
- Creation of a Fortran interface to read and modify data files in SLHA2 format with a shell script
Scientific Research:
- Researcher
- Spanish National Research Council (CSIC), València
- From 2001-09 to 2007-01
- Teaching at University of Valencia: Quantum Physics
- Analysis of data from neutrino experiments
- Development of phenomenological models to explain experimental data
Research and higher education teaching at Instituto de Física Corpuscular (IFIC), joint research center of the Spanish National Research Council (Consejo Superior de Investigaciones Científicas, CSIC) and University of Valencia.
Education
- Executive Certificate, Data Science: Data to Insights
- MIT Professional Education
- 2017-01-29
2.0 Continuing Education Units (CEUs)
- BSc, Computer Science
- SUPINFO International University
- 2015-10-31
- Artificial Intelligence: Functional programming, Expert system, Lisp, Python
- Development: Java SE and EE, ASP.NET MVC, JavaScript, Node.js, Express, AngularJS, Android, Windows Phone, iOS
- Databases: Oracle 10g, Microsoft SQL Server, MySQL, MongoDB
- Linux Data Center
- ITIL
- PhD, Theoretical Particle Physics
- University of Valencia
- 2007-02-01
Thesis: “Phenomenology of Neutrino Mass Models” (2007)
Certifications
- Generative Adversarial Networks (GANs) Specialization
- 2021-01
- Certificate: C87TB7UAK7QR
- AI for Medicine Specialization
- 2020-08
- Certificate: XCHBUY4S74WW
- Deep Reinforcement Learning Nanodegree
- 2020-05
- Certificate: 49HA7MG
- Deep Learning Nanodegree
- 2020-05
- Certificate: RGF3PK9C
- DeepLearning.AI TensorFlow Developer Professional Certificate
- 2020-04
- Certificate: T5TH69N3FK79
- Fundamentals of Machine Learning in Finance (New York University Tandon School of Engineering)
- 2019-03
- Certificate: HMYAJRRX9RSW
- Guided Tour of Machine Learning in Finance (New York University Tandon School of Engineering)
- 2019-03
- Certificate: 67BJA3PT288E
- Sequence Models (deeplearning.ai)
- 2018-03
- Certificate: ETKHEXYDMXKB
- Specialization - Machine Learning (University of Washington)
- 2017-02
- Certificate: Z25BM6674UTN