Acerca de Juan Jose
I am a dedicated and enthusiastic scientist who enjoys solving real life and complex problems using R, Python and the latest data science technologies.
I have a Master’s degree in physics and a Ph.D. in statistics and big data.
Throughout my professional career I have been involved in multiple R&D projects:
- Experimental Design of clinical trials.
- OMOP methodology and tools.
- Analysis of large biomedical databases.
- Estimation of treatment effect with regression models with random effects.
- Logistic classification with clustering, random forest and boosting.
- Analysis of the Spatio-temporal evolution of implants using 3D scanner images.
- Analysis of Event Sequence Analysis.
- Adaptive Bayesian models.
- Classical and deep learning analysis of time series.
- Sentiment analysis with NLP.
- Image classification.
- Pattern identification in finance.
- Optimization of trading models.
- Pattern identification in high performance sports.
- Optimization of ship container logistics.
- Identification of anomalies in manufacturing process.
Español
Bilingüe o nativo
Inglés
Competencia profesional completa
Francés
Competencia profesional básica
Catalán
Competencia profesional completa
Solo teletrabajo
Lleva a cabo sus proyectos principalmente en remoto
Experiencia
- Medical Research Institute La Fe (IIS La Fe)Senior Data ScientistSECTOR MÉDICOoctubre de 2022 - Hoy (3 años y 8 meses)Valencia, SpainApplied statistical modeling and data science to analyze biomedical data (OMOP).Designed e-Health and real-life studies using massive data.Designed Big Data and Machine Learning techniques for research projects.Provided data science advice to other researchers.Active search for collaboration opportunities.
- VRAIN - Valencian Research Institute for Artificial IntelligenceSenior Data ScientistCENTROS DE INVESTIGACIÓNfebrero de 2021 - agosto de 2021 (6 meses)Valencian Community, SpainCollaborated in a short-term project to analyze COVID19 data and predict the severity of the patients.Applied Statistics and Machine Learning methods to cleanse the data and create statistical models with R.
- UCAM Universidad Católica San Antonio de MurciaResarch Fellow and Teaching AssistantCENTROS DE INVESTIGACIÓNmayo de 2015 - septiembre de 2020 (5 años y 4 meses)Murcia, EspañaSupported healthcare public institutions and private clients to analyze their data and develop R packages and simulations.Applied statistics, machine learning methods and cloud computing (AWS and Spark) to analyze biomedical data in order to find efficient methods to analyze very large databases.Collaborated in the creation of a new biostatistics department at the UCAM University. Taught statistics, R and Python to Medicine, High Performance Sports and PhD students.Research fellowship at the UCL. Study of sequences of cardiovascular events.Extensive use of R, caret, Julia, Python, Stan, SQL and Stata.
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Formación
- Doctor of Philosophy - PhD, Biostatistics and Big DataUCAM Universidad Católica San Antonio de Murcia2020Doctor of Philosophy - PhD, Biostatistics and Big Data. Summa Cum Laude. Thesis: “Application of Big Data methods to the analysis of biomedical data: Identification of factors associated with the occurrence of missing data and study of event sequences with incomplete dates.”.
- Teaching Certificate: Training and Development SpecialistFundación TREFOR2003Teaching Certificate: Training and Development Specialist