I am a French-Cuban Physicist and Data Scientist, currently residing in Paris, France. My academic journey began in 2004 at the University of Havana, where I earned my B.Sc. in Physics while simultaneously completing all coursework for the Mathematics curriculum. During my studies, I also gained teaching experience, leading laboratory classes in Mechanics, Electromagnetism, and Optics for students from various scientific disciplines. After graduating in 2009 (Cuban university programs span five years), I pursued a M.Sc. in Physics with a specialization in Theoretical Physics, which I completed in 2011. Concurrently, I worked as a Junior Researcher at the Institute of Cybernetics, Mathematics, and Physics (ICIMAF) and taught tutorials in Ordinary Differential Equations and Calculus of Variations to physics and engineering students.
In 2012, I moved to Trieste, Italy, on a scholarship for the Diploma Programme in High Energy Physics at the ICTP, where I conducted research on Neutrinoless Double β-decay and Physics Beyond the Standard Model. After a highly competitive selection process, I was awarded another scholarship in 2013 to join the Joint Ph.D. Programme at ICTP and SISSA in Astroparticle Physics. My Ph.D. thesis, successfully defended in 2017, combined phenomenology, data analysis, and machine learning, with a focus on dark matter at galactic scales and empirical velocity profiles.
Post-Ph.D., I relocated to Paris for a postdoctoral role at LPNHE, contributing to the XENON1T experiment. My work involved academic research, data processing, analysis, and the search for rare events that might indicate the presence of dark matter particles in collision with Xenon nuclei, a mission I continued until the end of 2019, publishing articles in Physical Review Letters, the Monthly Notices of the Royal Astronomical Society and Nature.
The Covid-19 pandemic marked a turning point in my career as I transitioned to Data Science, motivated by a passion for predicting behaviors across diverse domains. Since then, I've applied my expertise across sectors such as Cybersecurity, Predictive Medicine, and Risk Management. My multicultural and multilingual background has been pivotal in fostering collaboration and communication, making me a valuable asset in dynamic, diverse environments.
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🌌⚛︎Post Doc. Nuclear Physics and Astroparticles
Laboratoire de Physique Nucléaire et de Hautes Énergies (LPNHE), Paris, France
10/2017 - 09/2019 -
🔭🌌 Ph.D. Astroparticle Physics (GPA: 4.0/4.0)
Scuola Internazionale Superiore di Studi Avanzati (SISSA), Trieste, Italy
10/2013 - 09/2017 -
∫🎓 M.Sc. High Energy Physics (GPA: 3.9/4.0)
“Abdus Salam” International Centre for Theoretical Physics (ICTP), Trieste, Italy
09/2012 - 08/2013 -
∫🎓 M.Sc. Theoretical Physics (GPA: 4.0/4.0)
University of Havana, Havana, Cuba
10/2009 - 12/2011 -
∫🎓 B.Sc. Physics (GPA: 3.8/4.0)
University of Havana, Havana, Cuba
09/2004 - 08/2009
👨🏻💼 Nexialog Consulting, Paris, France | 02/2023 - ongoing
- Lead Data Scientist, driving AI research, data anonymization, and XAI initiatives.
- I oversee talent acquisition, team development, knowledge transfer, and mentoring of interim students.
- PO of NexiaSynth, a data anonymization platform and PO of the chatbots MaineCoon tailored for financial services.
🏛️ Societé Générale, Paris, France | 05/2023 - 12/2023
- Developed a back-testing platform for PD, LGD, and CCF risk models within the Model Risk Management team.
- Designed data sets using Dataiku and PostgreSQL for the analysis of ECB-regulated KRIs.
- Backend development on R and implemented and automated unit tests on Python.
- Designed and implemented modules of the platform’s UI on R-Shiny.
- Presented the platform's progress and introduced new features during weekly meetings to the product committee.
- Technical Environment: Dataiku, PostgreSQL, R, Python, VS Code, R-Shiny, Git, Agile methodology.
🏛️ Euroclear Bank, Paris-Brussels, France-Belgium | 04/2022 - 10/2022
- Provided data-driven support to the Risk Management Department.
- Developed a Python-based agent simulation to model the life cycle of settlement instructions, which supported the ICLAAP team in conducting stress tests and analyzing domino effects in case of account defaults.
- The simulation managed large data volumes (+100 GB) related to settlement activities, CAGs, collaterals, and exposures, achieving a precision rate of 98%.
- Created ETL services in Python for financial data analysis and reporting using Hadoop (Cloudera) and SQL databases.
- Developed and monitored a Power BI dashboard CCP Journal for daily monitoring of settlement activities of CCPs like LCH, LME, ICE Clear, and Euronext Clearing.
- Developed and monitored a Power BI dashboard Euroclear’s News Journal for weekly tracking of financial sentiment on Euroclear Bank, powered by a sentiment analysis engine.
- Technical Environment: Python, Power BI, Hadoop (Cloudera), SQL, Agile framework.
👨🏻💼 Leano, Paris, France | 06/2021 - 12/2021
- Implemented ML pipelines to automate financial processes such as invoice categorization and cash flow forecasting.
- Designed and integrated robust pipelines for classification using CatBoost in Python, achieving an AUC of 96%.
- Optimized an exponential smoothing model to enhance forecasting accuracy in cashflow predictions, reducing the error margin to below 4%.
- Collaborated with the DevOps team to dockerize services, facilitating deployment and ensuring continuous integration.
👨🏻💼 Paris Transplant Group / Institut Necker, Paris, France | 08/2020 - 05/2021
- Enhanced prediction of graft survival probabilities after kidney transplants using machine learning models adapted to handle right censored data.
- Prepared three datasets: a derivation cohort of 4000 recipients in France recruited between 2005 and 2014, and two validation cohorts with 3557 recipients from Europe and North America recruited between 2002 and 2014.
- The c-statistics of some models reached 86% and 88%, surpassing the iBox model’s 85% (an internal model using Cox’s Proportional Hazards), though the difference was not statistically significant.
- Technical Environment: Python, R, Git, Agile framework.
👨🏻💼 ORT-France, Paris, France | 01/2020 - 07/2020
- Managed predictive analytics for the H2020 European research project FINSEC.
- Lead the project’s technical aspects and facilitating cross-functional collaboration.
- Communicated progress and strategies to consortium members and prepared roadmaps for predictive analytics initiatives.
- Conducted internal training on innovation and big data topics.
- Developed and integrated multiple use cases, such as anomaly detection for LiberBank and identifying recurring behaviors for Nexi.
- Technical Environment: Python, MongoDB, VS Code, H2O.ai, Git, Docker, Flask, Agile framework.
👨🏻🏫 LPNHE - CNRS, Paris, France | 10/2017 - 09/2019
- Supported particle detection analysis for dark matter WIMPs in the Xenon1T detector.
- Implemented Monte Carlo simulations in C++ to optimize the geometric shape of the fiducial volume with minimal noise.
- Analyzed collision data and conducted back tests of particle collision models.
- Author of several articles in high-impact physics journals, including Physical Review Letters and Nature.
- Technical Environment: Python, MongoDB, VS Code, C++, Git, Agile framework.
- Programming: Python (Numpy, Pandas, Scikit-Learn, PySurvival, PySpark, Flask, LIME/SHAP), R (R-Studio, R-Markdown, R-Shiny)
- Databases: SQL, PostgreSQL, Hadoop (Cloudera), MongoDB
- DevOps: Git, Docker, AWS
- Data Visualization: Matplotlib, Seaborn, Power BI (DAX), H2O.ai
- Dataiku: Core & Advanced Designer, Developer, ML & MLOps Practitioner
- Alteryx: Foundational & Designer Core Micro-Credential
- Udemy: Deployment of Machine Learning models
- Power BI: Data analysis and management with Microsoft Power BI
- LinkedIn: Financial Modeling Foundations
- LinkedIn: DevOps for Data Scientists
- 🇬🇧 🇺🇸 English (proficient)
- 🇫🇷 French (proficient)
- 🇮🇹 Italian (proficient)
- 🇪🇸 Spanish (native)
- 📧 [email protected]
- 📍 75020 Paris, France
Photography, Traveling, Fitness, Cooking, Cocktail Creation
- Jury's very favorite of the photography contest Un (dix) dans l'image, issued by Wipplay photography review.
- 3rd place of the photography contest ABYSSES, issued by Wipplay digital photography magazine in partnership with Jeu de Paume, Paris, France.
- 3rd place of the photography contest Teenage Portrait(s), issued by Wipplay digital photography magazine in partnership with Rendez-Vous Photographique Ville De Vichy, Paris, France.
- 3rd place of the photography contest H2O, issued by Wipplay digital photography magazine in partnership with Lomography.
- 3rd place of the photography contest HER WAY, issued by Wipplay digital photography magazine in partnership with Bioderma.
- 1st place of the photography contest IL ETAIT UNE FOIS DEMAIN, issued by Caisses d’Epargne et Polka Magazine.
- 1st place of the photography contest HOT SNAPSHOT, issued by Focus Numerique et Wipplay photography review.
- 2nd place of the photography contest ANIMAUX, issued by Wipplay photography review.
- 3rd place of the photography contest STAINED GLASS, issued by Cité de l’architecture et du Patrimoine.
- Jury's very favorite of the photography contest MA VIE DES HALLES, issued by Wipplay photography review.
- Scholarship: Joint PhD Programme ICTP/SISSA in Astroparticle Physics, issued by Abdus Salam International Centre for Theoretical Physics (ICTP), and Scuola Internazionale Superiore di Studi Avanzati (SISSA), Trieste, Italy.
- Scholarship: Postgraduate Diploma Programme in High Energy Physics, issued by Abdus Salam International Centre for Theoretical Physics (ICTP), Trieste, Italy.
- Award to the Best Research Work done by a Young Physicist of the XII Symposium of the Cuban Society of Physics 2011, issued by Cuban Society of Physics, associated with Institute of Cybernetics Mathematics and Physics.
- Mention to the Best Researcher Student of the Physics Faculty's 2009 promotion.